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Multimedia for accessible human computer interfaces / / Troy McDaniel, Xueliang Liu, editors
Multimedia for accessible human computer interfaces / / Troy McDaniel, Xueliang Liu, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (310 pages)
Disciplina 006.7
Soggetto topico Multimedia systems
ISBN 3-030-70716-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Foreword -- Preface -- Contents -- About the Editors -- Part I Vision-Based Technologies for Accessible Human Computer Interfaces -- A Framework for Gaze-Contingent Interfaces -- 1 Introduction -- 1.1 Gaze-Contingent Interface -- 1.2 Eye Tracking and Gaze Detection -- 1.3 Gaze-Contingent Interface Based on Near Infrared Camera of Mobile Device -- 2 Methods -- 2.1 Framework -- 2.2 Calibration and Standard Acquisition -- 2.3 Determination of Sagittal Plane -- 2.4 Calculation of POG with Head Adjustment -- 2.5 Gaze Prediction by LSTM -- 2.6 Measurement of Head and Eye Movements -- 3 Use Cases -- 3.1 Use Case #1: Select an Option on Screen -- 3.2 Use Case #2: Auto Screen Scrolling -- 4 Future Work -- References -- Sign Language Recognition -- 1 Online Early-Late Fusion Based on Adaptive HMM for Sign Language Recognition -- 1.1 Introduction -- 1.2 Adaptive HMMs -- 1.3 Early-Late Fusion -- 1.3.1 Feature Selection -- 1.3.2 Query-Adaptive Weighting -- 1.3.3 Score Fusion -- 1.4 Experiments -- 1.4.1 Experiments Setup -- 1.4.2 Experiment with HMM-States Adaptation -- 1.4.3 Comparison on Different Fusion Steps -- 1.4.4 Comparison on Different Dataset Sizes -- 1.4.5 Comparison on Different SLR Models -- 2 Hierarchical LSTM for Sign Language Translation -- 2.1 Introduction -- 2.2 Online Key Clip Mining -- 2.3 Hierarchical LSTM Encoder -- 2.3.1 Hierarchical Encoder -- 2.3.2 Pooling Strategy -- 2.3.3 Attention-Based Weighting -- 2.4 Sentence Generation -- 2.5 Experiment -- 2.5.1 Experiment Setup -- 2.5.2 Model Validation -- 2.5.3 Comparison to Existing Methods -- 3 Dense Temporal Convolution Network for Sign Language Translation -- 3.1 Introduction -- 3.2 DenseTCN -- 3.3 Sentence Learning -- 3.3.1 CTC Decoder -- 3.3.2 Score Fusion and Translation -- 3.4 Experiments -- 3.4.1 Datasets -- 3.4.2 Evaluation Metrics -- 3.4.3 Implementation Details.
3.4.4 Depth Discussion -- 3.4.5 Comparison -- 4 Joint Optimization for Translation and Sign Labeling -- 4.1 Introduction -- 4.2 Clip Feature Learning in Videos -- 4.3 Joint Loss Optimization -- 4.3.1 CTC Loss for CTTR Module -- 4.3.2 Cross-Entropy Loss for FCLS Module -- 4.3.3 Triplet Loss for FCOR Module -- 4.4 Experiment -- 4.4.1 Experiment Setup -- 4.4.2 Model Validation -- 4.4.3 Main Comparison -- References -- Fusion-Based Image Enhancement and Its Applicationsin Mobile Devices -- 1 Introduction -- 2 Related Works -- 3 Fusion-Based Enhancement Models -- 3.1 A General Framework of Linear Fusion -- 3.2 Naturalness-Preserving Low-Light Enhancement -- 3.3 Mixed Pencil Drawing Generation -- 4 Applications in Mobile Devices -- 4.1 FFT Acceleration -- 4.2 Interactive Segmentation -- 4.3 Experimental Results -- 5 Conclusion and Discussion -- References -- Open-Domain Textual Question Answering Systems -- 1 Introduction -- 2 Overview of Open-Domain Question Answering Systems -- 3 Paragraph Ranking -- 3.1 Multi-Level Fused Sequence Matching Model -- 3.1.1 Multi-Level Fused Encoding -- 3.1.2 Attention Model with Alignment and Comparison -- 3.1.3 Aggregation and Prediction -- 3.2 Evaluation -- 4 Candidate Answer Extraction -- 4.1 Dynamic Semantic Discard Reader -- 4.1.1 Feature Encoding -- 4.1.2 Attention Matching -- 4.1.3 Dynamic Discard -- 4.1.4 Information Aggregation -- 4.1.5 Prediction -- 4.2 Reinforced Mnemonic Reader -- 4.2.1 RC with Reattention -- 4.2.2 Dynamic-Critical Reinforcement Learning -- 4.2.3 End-to-End Architecture -- 4.3 Read and Verify System -- 4.3.1 Reader with Auxiliary Losses -- 4.3.2 Answer Verifier -- 4.4 Evaluations -- 5 Answer Selection Module -- 5.1 RE3QA: Retrieve, Read and Rerank -- 5.1.1 Answer Reranker -- 5.1.2 End-to-End Training -- 5.2 Multi-Type Multi-Span Network for DROP -- 5.2.1 Multi-Type Answer Predictor.
5.2.2 Multi-Span Extraction -- 5.2.3 Arithmetic Expression Reranking -- 5.3 Evaluations -- 6 Conclusion -- References -- Part II Auditory Technologies for Accessible Human Computer Interfaces -- Speech Recognition for Individuals with Voice Disorders -- 1 Motivation and Introduction -- 1.1 Voice Interaction Is Here to Stay -- 1.2 Accessibility Considerations in Voice Interaction -- 2 Definitions and Concepts -- 3 A Brief Introduction to Phonetics and Acoustics -- 3.1 Speech Production -- 3.1.1 Production of Disordered Speech -- 3.2 Speech Perception -- 3.3 Speech Parameterization Methods -- 3.4 Markers of Disordered Speech -- 4 Automatic Speech Recognition Overview -- 4.1 Characterization of ASR Systems -- 4.1.1 Speaker Dependence -- 4.1.2 Continuity -- 4.1.3 Vocabulary Size -- 4.2 Nomenclature of Disordered Speech Recognition -- 4.3 The Ideal System -- 4.4 Levels of Difficulty in ASR Tasks -- 4.4.1 Level 1 ASR -- 4.4.2 Level 2 ASR -- 4.4.3 Level 3 ASR -- 4.4.4 Level 4 ASR -- 5 A Level by Level Guide of ASR Modeling Approaches -- 5.1 Level 1 ASR: Clear and Clean Speech Recognition -- 5.1.1 Multimodels -- 5.1.2 End-to-End Models -- 5.2 Level 2 ASR: Noisy but Clear Speech Recognition -- 5.2.1 Data Augmentation -- 5.2.2 Transfer Learning -- 5.2.3 Multimodal ASR -- 5.3 Level 3 ASR: Clean but Unclear Speech Recognition -- 5.3.1 Data Augmentation -- 5.3.2 Multimodal Techniques -- 5.3.3 Voice Conversion and Speaker Normalization -- 5.4 Level 4 ASR -- 6 Disordered Speech Datasets -- 6.1 Acoustic Datasets -- 6.1.1 Dysarthric Speech Dataset for Universal Access (UASPEECH) -- 6.1.2 The TORGO Database -- 6.1.3 The Nemours Database of Dysarthric Speech -- 6.1.4 The HomeService Corpus -- 6.1.5 UncommonVoice -- 6.1.6 Parkinson's Disorder Speech Dataset -- 7 Utility and Applications of Disorder-Robust ASR -- 7.1 Clinical Metrics -- 7.2 Voice Assistive Technologies.
7.3 Improvement of Everyday Voice Interactions -- 8 Conclusions -- References -- Socially Assistive Robots for Storytelling and Other Activities to Support Aging in Place -- 1 Introduction -- 2 Technology to Assist with Aging in Place -- 2.1 Smart Homes and Safety -- 2.2 Technologies to Encourage Fitness -- 3 Technology for Communication -- 3.1 Robotic Pets -- 4 Socially Assistive Robots -- 4.1 Existing Technologies -- 4.2 How Robots Can Address Isolation -- References -- Part III Haptic Technologies for Accessible Human Computer Interfaces -- Accessible Smart Coaching Technologies Inspired by ElderlyRequisites -- 1 Introduction -- 2 A Review of Accessible Technology in Healthcare -- 3 Novel Wearable Healthcare Technologies Using Pneumatic Gel Muscle (PGM) -- 3.1 Pneumatic Gel Muscle (PGM) -- 3.1.1 Overview -- 3.1.2 Force Characteristics -- 3.2 A Soft Exoskeleton Jacket for Remote Human Interaction -- 3.2.1 Motivation -- 3.2.2 System Description -- 3.2.3 Measurement of Force During Shoulder Abduction and Elbow Flexion -- 3.2.4 Latency Measurement -- 3.3 A Soft Wearable Balance Exercise Device -- 3.3.1 Motivation -- 3.3.2 System Description -- 3.3.3 Evaluation of the Prototype Through a Single-Leg Stance Test -- 3.4 Swing Support System Using Wireless Actuation of PGMs -- 3.4.1 Motivation -- 3.4.2 System Description -- 3.4.3 Evaluation of the Prototype Through Measurement of Various Lower Limb Parameters -- 4 Stealth Adaptive Exergame Design Framework -- 4.1 Fruit Slicing Exergame Design -- 4.2 Ski Squat Exergame Design -- 4.2.1 System Description of Ski Exergame -- 4.2.2 sEMG Measurement to Detect the Effect of PGM Based Muscle Loading -- 5 An IMU-Based Assessment of Brushed Body Area -- 5.1 Motivation -- 5.2 System Description -- 5.3 Calculation of the Contact Area Between Brush and Body Based on Distance Metrics.
5.4 Comparison of Predicted and Actual Contact Area -- 6 Conclusion -- References -- Haptic Mediators for Remote Interpersonal Communication -- 1 Introduction -- 2 Social Touch -- 2.1 Hugging -- 2.2 Handshaking -- 2.3 Patting, Tapping, and Stroking -- 2.4 Massaging -- 3 Non-verbal Communication -- 3.1 Facial Features and Emotions -- 3.2 Body Movements and Gestures -- 4 Verbal Communication -- 4.1 Emphasis, Attention and Turn Taking -- 4.2 Haptic Messaging -- 5 Conclusions and Future Directions -- References -- Part IV Multimodal Technologies for Accessible Human Computer Interfaces -- Human-Machine Interfaces for Socially Connected Devices: From Smart Households to Smart Cities -- 1 Introduction -- 1.1 Smart Community -- 1.2 Smart Home -- 1.3 Socially Connected Products -- 1.4 Gamification -- 1.4.1 Energy Adapted Octalysis Framework -- 2 Multisystem: Data Fusion -- 2.1 ANFIS: Adaptive Neuro-Fuzzy Inference Systems -- 2.2 Topology Proposed: Detection of Gamified Motivation at Home for Saving Energy -- 2.3 Input 1: Level of Energy Consumption -- 2.4 Input 2: Type of Environmental Home -- 2.5 Output: Gamified Motivation (Local Point of View) -- 2.5.1 Community Gamified motivation's Detection (Global Point of View) -- 3 Proposal -- 3.1 Input 1: Level of Energy Consumption -- 3.2 Input 2: Type of Environmental Home -- 3.3 Output: Gamified Motivation (Local Point of View) -- 4 Results -- 5 HMI to Improve the Quality of Life of Older People Using the Proposed Structure -- 6 From Citizen to Smart City: A Future Vision -- 6.1 Smart City Vision in a COVID-19 Context -- 7 Discussion -- 8 Conclusion -- References -- Enhancing Situational Awareness and Kinesthetic Assistance for Clinicians via Augmented-Reality and Haptic Shared-Control Technologies -- 1 Intraoperative Situational Awareness -- 1.1 Visual Guidance -- 1.2 Haptic Guidance.
1.3 Applications of Visual and Haptic Guidance in Surgery.
Record Nr. UNINA-9910495164503321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multimedia for accessible human computer interfaces / / Troy McDaniel, Xueliang Liu, editors
Multimedia for accessible human computer interfaces / / Troy McDaniel, Xueliang Liu, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (310 pages)
Disciplina 006.7
Soggetto topico Multimedia systems
ISBN 3-030-70716-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Foreword -- Preface -- Contents -- About the Editors -- Part I Vision-Based Technologies for Accessible Human Computer Interfaces -- A Framework for Gaze-Contingent Interfaces -- 1 Introduction -- 1.1 Gaze-Contingent Interface -- 1.2 Eye Tracking and Gaze Detection -- 1.3 Gaze-Contingent Interface Based on Near Infrared Camera of Mobile Device -- 2 Methods -- 2.1 Framework -- 2.2 Calibration and Standard Acquisition -- 2.3 Determination of Sagittal Plane -- 2.4 Calculation of POG with Head Adjustment -- 2.5 Gaze Prediction by LSTM -- 2.6 Measurement of Head and Eye Movements -- 3 Use Cases -- 3.1 Use Case #1: Select an Option on Screen -- 3.2 Use Case #2: Auto Screen Scrolling -- 4 Future Work -- References -- Sign Language Recognition -- 1 Online Early-Late Fusion Based on Adaptive HMM for Sign Language Recognition -- 1.1 Introduction -- 1.2 Adaptive HMMs -- 1.3 Early-Late Fusion -- 1.3.1 Feature Selection -- 1.3.2 Query-Adaptive Weighting -- 1.3.3 Score Fusion -- 1.4 Experiments -- 1.4.1 Experiments Setup -- 1.4.2 Experiment with HMM-States Adaptation -- 1.4.3 Comparison on Different Fusion Steps -- 1.4.4 Comparison on Different Dataset Sizes -- 1.4.5 Comparison on Different SLR Models -- 2 Hierarchical LSTM for Sign Language Translation -- 2.1 Introduction -- 2.2 Online Key Clip Mining -- 2.3 Hierarchical LSTM Encoder -- 2.3.1 Hierarchical Encoder -- 2.3.2 Pooling Strategy -- 2.3.3 Attention-Based Weighting -- 2.4 Sentence Generation -- 2.5 Experiment -- 2.5.1 Experiment Setup -- 2.5.2 Model Validation -- 2.5.3 Comparison to Existing Methods -- 3 Dense Temporal Convolution Network for Sign Language Translation -- 3.1 Introduction -- 3.2 DenseTCN -- 3.3 Sentence Learning -- 3.3.1 CTC Decoder -- 3.3.2 Score Fusion and Translation -- 3.4 Experiments -- 3.4.1 Datasets -- 3.4.2 Evaluation Metrics -- 3.4.3 Implementation Details.
3.4.4 Depth Discussion -- 3.4.5 Comparison -- 4 Joint Optimization for Translation and Sign Labeling -- 4.1 Introduction -- 4.2 Clip Feature Learning in Videos -- 4.3 Joint Loss Optimization -- 4.3.1 CTC Loss for CTTR Module -- 4.3.2 Cross-Entropy Loss for FCLS Module -- 4.3.3 Triplet Loss for FCOR Module -- 4.4 Experiment -- 4.4.1 Experiment Setup -- 4.4.2 Model Validation -- 4.4.3 Main Comparison -- References -- Fusion-Based Image Enhancement and Its Applicationsin Mobile Devices -- 1 Introduction -- 2 Related Works -- 3 Fusion-Based Enhancement Models -- 3.1 A General Framework of Linear Fusion -- 3.2 Naturalness-Preserving Low-Light Enhancement -- 3.3 Mixed Pencil Drawing Generation -- 4 Applications in Mobile Devices -- 4.1 FFT Acceleration -- 4.2 Interactive Segmentation -- 4.3 Experimental Results -- 5 Conclusion and Discussion -- References -- Open-Domain Textual Question Answering Systems -- 1 Introduction -- 2 Overview of Open-Domain Question Answering Systems -- 3 Paragraph Ranking -- 3.1 Multi-Level Fused Sequence Matching Model -- 3.1.1 Multi-Level Fused Encoding -- 3.1.2 Attention Model with Alignment and Comparison -- 3.1.3 Aggregation and Prediction -- 3.2 Evaluation -- 4 Candidate Answer Extraction -- 4.1 Dynamic Semantic Discard Reader -- 4.1.1 Feature Encoding -- 4.1.2 Attention Matching -- 4.1.3 Dynamic Discard -- 4.1.4 Information Aggregation -- 4.1.5 Prediction -- 4.2 Reinforced Mnemonic Reader -- 4.2.1 RC with Reattention -- 4.2.2 Dynamic-Critical Reinforcement Learning -- 4.2.3 End-to-End Architecture -- 4.3 Read and Verify System -- 4.3.1 Reader with Auxiliary Losses -- 4.3.2 Answer Verifier -- 4.4 Evaluations -- 5 Answer Selection Module -- 5.1 RE3QA: Retrieve, Read and Rerank -- 5.1.1 Answer Reranker -- 5.1.2 End-to-End Training -- 5.2 Multi-Type Multi-Span Network for DROP -- 5.2.1 Multi-Type Answer Predictor.
5.2.2 Multi-Span Extraction -- 5.2.3 Arithmetic Expression Reranking -- 5.3 Evaluations -- 6 Conclusion -- References -- Part II Auditory Technologies for Accessible Human Computer Interfaces -- Speech Recognition for Individuals with Voice Disorders -- 1 Motivation and Introduction -- 1.1 Voice Interaction Is Here to Stay -- 1.2 Accessibility Considerations in Voice Interaction -- 2 Definitions and Concepts -- 3 A Brief Introduction to Phonetics and Acoustics -- 3.1 Speech Production -- 3.1.1 Production of Disordered Speech -- 3.2 Speech Perception -- 3.3 Speech Parameterization Methods -- 3.4 Markers of Disordered Speech -- 4 Automatic Speech Recognition Overview -- 4.1 Characterization of ASR Systems -- 4.1.1 Speaker Dependence -- 4.1.2 Continuity -- 4.1.3 Vocabulary Size -- 4.2 Nomenclature of Disordered Speech Recognition -- 4.3 The Ideal System -- 4.4 Levels of Difficulty in ASR Tasks -- 4.4.1 Level 1 ASR -- 4.4.2 Level 2 ASR -- 4.4.3 Level 3 ASR -- 4.4.4 Level 4 ASR -- 5 A Level by Level Guide of ASR Modeling Approaches -- 5.1 Level 1 ASR: Clear and Clean Speech Recognition -- 5.1.1 Multimodels -- 5.1.2 End-to-End Models -- 5.2 Level 2 ASR: Noisy but Clear Speech Recognition -- 5.2.1 Data Augmentation -- 5.2.2 Transfer Learning -- 5.2.3 Multimodal ASR -- 5.3 Level 3 ASR: Clean but Unclear Speech Recognition -- 5.3.1 Data Augmentation -- 5.3.2 Multimodal Techniques -- 5.3.3 Voice Conversion and Speaker Normalization -- 5.4 Level 4 ASR -- 6 Disordered Speech Datasets -- 6.1 Acoustic Datasets -- 6.1.1 Dysarthric Speech Dataset for Universal Access (UASPEECH) -- 6.1.2 The TORGO Database -- 6.1.3 The Nemours Database of Dysarthric Speech -- 6.1.4 The HomeService Corpus -- 6.1.5 UncommonVoice -- 6.1.6 Parkinson's Disorder Speech Dataset -- 7 Utility and Applications of Disorder-Robust ASR -- 7.1 Clinical Metrics -- 7.2 Voice Assistive Technologies.
7.3 Improvement of Everyday Voice Interactions -- 8 Conclusions -- References -- Socially Assistive Robots for Storytelling and Other Activities to Support Aging in Place -- 1 Introduction -- 2 Technology to Assist with Aging in Place -- 2.1 Smart Homes and Safety -- 2.2 Technologies to Encourage Fitness -- 3 Technology for Communication -- 3.1 Robotic Pets -- 4 Socially Assistive Robots -- 4.1 Existing Technologies -- 4.2 How Robots Can Address Isolation -- References -- Part III Haptic Technologies for Accessible Human Computer Interfaces -- Accessible Smart Coaching Technologies Inspired by ElderlyRequisites -- 1 Introduction -- 2 A Review of Accessible Technology in Healthcare -- 3 Novel Wearable Healthcare Technologies Using Pneumatic Gel Muscle (PGM) -- 3.1 Pneumatic Gel Muscle (PGM) -- 3.1.1 Overview -- 3.1.2 Force Characteristics -- 3.2 A Soft Exoskeleton Jacket for Remote Human Interaction -- 3.2.1 Motivation -- 3.2.2 System Description -- 3.2.3 Measurement of Force During Shoulder Abduction and Elbow Flexion -- 3.2.4 Latency Measurement -- 3.3 A Soft Wearable Balance Exercise Device -- 3.3.1 Motivation -- 3.3.2 System Description -- 3.3.3 Evaluation of the Prototype Through a Single-Leg Stance Test -- 3.4 Swing Support System Using Wireless Actuation of PGMs -- 3.4.1 Motivation -- 3.4.2 System Description -- 3.4.3 Evaluation of the Prototype Through Measurement of Various Lower Limb Parameters -- 4 Stealth Adaptive Exergame Design Framework -- 4.1 Fruit Slicing Exergame Design -- 4.2 Ski Squat Exergame Design -- 4.2.1 System Description of Ski Exergame -- 4.2.2 sEMG Measurement to Detect the Effect of PGM Based Muscle Loading -- 5 An IMU-Based Assessment of Brushed Body Area -- 5.1 Motivation -- 5.2 System Description -- 5.3 Calculation of the Contact Area Between Brush and Body Based on Distance Metrics.
5.4 Comparison of Predicted and Actual Contact Area -- 6 Conclusion -- References -- Haptic Mediators for Remote Interpersonal Communication -- 1 Introduction -- 2 Social Touch -- 2.1 Hugging -- 2.2 Handshaking -- 2.3 Patting, Tapping, and Stroking -- 2.4 Massaging -- 3 Non-verbal Communication -- 3.1 Facial Features and Emotions -- 3.2 Body Movements and Gestures -- 4 Verbal Communication -- 4.1 Emphasis, Attention and Turn Taking -- 4.2 Haptic Messaging -- 5 Conclusions and Future Directions -- References -- Part IV Multimodal Technologies for Accessible Human Computer Interfaces -- Human-Machine Interfaces for Socially Connected Devices: From Smart Households to Smart Cities -- 1 Introduction -- 1.1 Smart Community -- 1.2 Smart Home -- 1.3 Socially Connected Products -- 1.4 Gamification -- 1.4.1 Energy Adapted Octalysis Framework -- 2 Multisystem: Data Fusion -- 2.1 ANFIS: Adaptive Neuro-Fuzzy Inference Systems -- 2.2 Topology Proposed: Detection of Gamified Motivation at Home for Saving Energy -- 2.3 Input 1: Level of Energy Consumption -- 2.4 Input 2: Type of Environmental Home -- 2.5 Output: Gamified Motivation (Local Point of View) -- 2.5.1 Community Gamified motivation's Detection (Global Point of View) -- 3 Proposal -- 3.1 Input 1: Level of Energy Consumption -- 3.2 Input 2: Type of Environmental Home -- 3.3 Output: Gamified Motivation (Local Point of View) -- 4 Results -- 5 HMI to Improve the Quality of Life of Older People Using the Proposed Structure -- 6 From Citizen to Smart City: A Future Vision -- 6.1 Smart City Vision in a COVID-19 Context -- 7 Discussion -- 8 Conclusion -- References -- Enhancing Situational Awareness and Kinesthetic Assistance for Clinicians via Augmented-Reality and Haptic Shared-Control Technologies -- 1 Intraoperative Situational Awareness -- 1.1 Visual Guidance -- 1.2 Haptic Guidance.
1.3 Applications of Visual and Haptic Guidance in Surgery.
Record Nr. UNISA-996464513503316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
MultiMedia Modeling [[electronic resource] ] : 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part I / / edited by Qi Tian, Nicu Sebe, Guo-Jun Qi, Benoit Huet, Richang Hong, Xueliang Liu
MultiMedia Modeling [[electronic resource] ] : 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part I / / edited by Qi Tian, Nicu Sebe, Guo-Jun Qi, Benoit Huet, Richang Hong, Xueliang Liu
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XXIV, 927 p. 354 illus. in color.)
Disciplina 006.7
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Multimedia information systems
Information storage and retrieval
Pattern recognition
Data mining
Application software
Multimedia Information Systems
Information Storage and Retrieval
Pattern Recognition
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
ISBN 3-319-27671-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Regular Papers -- Video Event Detection Using Kernel Support Vector Machine with Isotropic Gaussian Sample Uncertainty (KSVM-iGSU) -- 1 Introduction -- 2 Related Work -- 3 Kernel SVM-iGSU -- 3.1 Overview of LSVM-iGSU -- 3.2 Kernelizing LSVM-iGSU (KSVM-iGSU) -- 3.3 Relevance Degree KSVM-iGSU -- 4 Experiments and Results -- 4.1 Dataset and Evaluation Measures -- 4.2 Video Representation and Uncertainty -- 4.3 Experimental Results and Discussion -- 5 Conclusions and Future Work -- References -- Video Content Representation Using Recurring Regions Detection -- 1 Introduction -- 2 Related Work -- 3 Recurring Region Detection -- 3.1 Region Detection and Representation -- 3.2 Tracking, Shot-Track Representation, and Merging -- 3.3 Shot-Track Matching and Video-Track Merging -- 4 Evaluation -- 4.1 Dataset -- 4.2 Quantitative Evaluation -- 4.3 Qualitative Evaluation -- 5 Conclusion -- References -- Group Feature Selection for Audio-Based Video Genre Classification -- 1 Introduction -- 2 Feature Selection -- 3 Evaluation Setup -- 3.1 Audio Features -- 3.2 Datasets -- 3.3 Data Preprocessing -- 3.4 Classification -- 3.5 Performance Metrics -- 4 Experimental Results -- 4.1 Classification Performance -- 4.2 Feature Analysis -- 5 Conclusion -- References -- Computational Cartoonist: A Comic-Style Video Summarization System for Anime Films -- 1 Introduction -- 2 Related Work -- 3 Comic-Style Video Summarization -- 3.1 Shot Transition Detection -- 3.2 Key Frame Detection -- 3.3 Comic Layout -- 4 Evaluation -- 5 Conclusions and Future Work -- References -- Exploring the Long Tail of Social Media Tags -- 1 Introduction -- 2 Related Work -- 3 What Tags Constitute the Long Tail? -- 4 Utilizing the Long Tail -- 4.1 Augmenting Rare Tags -- 4.2 Tag Relevance -- 4.3 Learning Detectors.
5 Conclusions -- References -- Visual Analyses of Music Download History: User Studies -- 1 Introduction -- 2 Related Work -- 3 Visualization Design -- 4 User Studies -- 4.1 Implementation -- 4.2 Participants -- 4.3 Tasks -- 4.4 Results -- 4.5 Discussion -- 5 Conclusions -- References -- Personalized Annotation for Mobile Photos Based on User's Social Circle -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 3.1 Label Generation -- 3.2 Label Propagation -- 4 Experiment -- 4.1 DataSet -- 4.2 Evaluation of Album -- 4.3 Evaluation of Tag Generation -- 4.4 Evaluation of Personalized Annotation -- 5 Conclusion -- References -- Utilizing Sensor-Social Cues to Localize Objects-of-Interest in Outdoor UGVs -- 1 Introduction -- 2 Related Work -- 3 Sensor-Social-Based OOI Recognition -- 3.1 OOI Acquisition from UGVs -- 3.2 Classified Object Set Recommendation -- 3.3 OOI Description and Recognition -- 4 Experimental Results and Analysis -- 4.1 Dataset and Experimental Setup -- 4.2 Experimental Results and Analysis -- 5 Conclusions -- References -- NEWSMAN: Uploading Videos over Adaptive Middleboxes to News Servers in Weak Network Infrastructures -- 1 Introduction -- 2 Related Work -- 3 System Overview -- 4 Scheduling Problem and Solution -- 5 Simulations and Results -- 6 Conclusions -- References -- Computational Face Reader -- 1 Introduction -- 2 Related Work -- 2.1 Face Reading -- 2.2 Deep Convolutional Neural Network -- 3 Overview of Our Framework -- 4 Dataset Preparation and Library Construction -- 5 Deep Networks with Facial Region Pooling -- 5.1 Architecture -- 5.2 Training the Network -- 6 Experiments -- 6.1 Evaluation of Facial Attribute Estimation -- 6.2 Evaluation of Face Reading -- 7 Conclusions and Future Work -- References -- Posed and Spontaneous Expression Recognition Through Restricted Boltzmann Machine -- 1 Introduction.
2 The Proposed Method -- 2.1 Feature and Facial Events Extraction -- 2.2 Posed and Spontaneous Expression Modeling Using RBM -- 3 Experiments and Analysis -- 3.1 Experimental Conditions -- 3.2 Experimental Results and Analysis -- 3.3 Comparison with Other Methods -- 4 Conclusion and Future Works -- References -- DFRS: A Large-Scale Distributed Fingerprint Recognition System Based on Redis -- 1 Introduction -- 2 Background -- 2.1 Redis -- 2.2 Fingerprint Feature -- 2.3 Fingerprint Recognition -- 3 DFRS -- 3.1 System Architecture -- 3.2 Encoding and Decoding -- 3.3 Process of Fingerprint Recognition -- 3.4 Match Strategy Based on Quick-Return -- 4 Evaluation -- 4.1 Experiment Environment -- 4.2 Performance of Encoding and Decoding -- 4.3 Analytical Evaluation for Matching Method -- 4.4 Evaluation for Quick-Return -- 5 Conclusion and Future Work -- References -- Logo Recognition via Improved Topological Constraint -- 1 Introduction -- 2 Improved Topological Constraint -- 3 Logo Recognition -- 3.1 Feature Selection -- 3.2 Recognition -- 4 Experiments -- 4.1 Impact of Parameters -- 4.2 FlickrLogos-32 Dataset -- 4.3 FlickrLogos-27 Dataset -- 5 Conclusion -- References -- Compound Figure Separation Combining Edge and Band Separator Detection -- 1 Introduction -- 2 Related Work and Context -- 3 Proposed Algorithm -- 3.1 Illustration Classifier -- 3.2 Recursive Algorithm -- 3.3 Edge-Based Separator Detection -- 3.4 Band-Based Separator Detection -- 4 Parameter Optimization -- 5 Evaluation -- 5.1 Evaluation on ImageCLEF Dataset -- 5.2 Evaluation on NLM Dataset -- 5.3 Illustration Classifier Accuracy -- 6 Conclusion and Further Work -- References -- Camera Network Based Person Re-identification by Leveraging Spatial-Temporal Constraint and Multiple Cameras Relations -- 1 Introduction -- 2 Observations -- 3 Our Approach -- 3.1 Problem Definition.
3.2 Probabilistic Model with Spatial-Temporal Constraint -- 3.3 Optimization with Multiple Camera Relations -- 4 Experiments -- 4.1 Baselines -- 4.2 TMin Data Set -- 4.3 CamNeT -- 4.4 Running Time -- 5 Conclusion -- References -- Global Contrast Based Salient Region Boundary Sampling for Action Recognition -- 1 Introduction -- 2 Methodology -- 2.1 Improved Dense Trajectories -- 2.2 Motion Boundary Based Sampling -- 3 Our Approach -- 3.1 Global Contrast Based Salient Region Sampling -- 3.2 Optimization with Salient Region Boundary -- 4 Experiments -- 4.1 Datasets -- 4.2 Experimental Setup -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Elastic Edge Boxes for Object Proposal on RGB-D Images -- 1 Introduction -- 2 Related Work -- 3 Elastic Edge Boxes -- 3.1 Initial Bounding Boxes Generation -- 3.2 Elastic Range Determination -- 3.3 Bounding Box Adjustment -- 4 Experiments -- 4.1 Dataset Construction -- 4.2 Performance Evaluation -- 5 Conclusions -- References -- Pairing Contour Fragments for Object Recognition -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Contour Fragment Pairs -- 3.1 Matching Energy -- 3.2 Pairing Algorithm -- 3.3 Learning Subspace for CFPs -- 4 Recognition Algorithm -- 4.1 Learning Weak Classifiers Based on CFPs -- 4.2 Voting Boundaries and Foregrounds -- 5 Experiments -- 5.1 Experiments on Weizmann Horses Dataset -- 5.2 Experiments on ETHZ Shape Dataset -- 6 Conclusion and Future Works -- References -- Instance Search with Weak Geometric Correlation Consistency -- 1 Introduction -- 2 Related Work -- 3 Weak Geometric Correlation Consistency -- 3.1 Motivation -- 3.2 Implementation -- 3.3 Computational Complexity -- 4 Experiments -- 4.1 Datasets -- 4.2 Evaluation Protocol -- 4.3 Experiment Settings -- 5 Results and Discussion -- 6 Conclusion -- References.
Videopedia: Lecture Video Recommendation for Educational Blogs Using Topic Modeling -- 1 Introduction -- 2 Related Work -- 3 System Model -- 3.1 Dataset Used for Recommendation -- 3.2 Extracting Video Content -- 3.3 Extracting Webpage Content -- 3.4 Processing the Extracted Text -- 3.5 Topic Modeling -- 3.6 Definition of Similarity Matching -- 3.7 Algorithm for Video Recommendation -- 4 Experimental Results -- 4.1 Baselines Used for Comparison -- 4.2 Evaluation of Recommendation -- 5 Conclusions -- References -- Towards Training-Free Refinement for Semantic Indexing of Visual Media -- 1 Introduction -- 2 Related Work -- 3 Motivation and Proposed Solution -- 4 Training-Free Refinement (TFR) -- 4.1 Factorizing Detection Results -- 4.2 Integration with Ontologies -- 4.3 Temporal Neighbourhood-Based Propagation -- 5 Experiments and Discussion -- 5.1 Evaluation on Wearable Camera Images (Dataset1) -- 5.2 Evaluation on TRECVid Video (Dataset2) -- 5.3 Efficiency Analysis of TFR -- 6 Conclusions -- References -- Deep Learning Generic Features for Cross-Media Retrieval -- 1 Introduction -- 2 Related Work -- 3 Deep Learning Generic Features -- 3.1 Layer-Wise Pre-training -- 3.2 Overall Fine-Tuning -- 3.3 Cross-Media Retrieval -- 4 Experiments and Results -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Conclusions -- References -- Cross-Media Retrieval via Semantic Entity Projection -- 1 Introduction -- 2 Related Works -- 3 Our Approach -- 3.1 Entity Level Construction -- 3.2 Entity Projection Learning -- 3.3 Semantic Abstraction Generation -- 4 Experimental Evaluation -- 4.1 Dataset Description -- 4.2 Evaluation Metrics -- 4.3 Experimental Results -- 5 Conclusions -- References -- Visual Re-ranking Through Greedy Selection and Rank Fusion -- 1 Introduction -- 2 Effective Visual Re-ranking -- 2.1 Informative Feature Extraction -- 2.2 Label De-noising.
2.3 Graph-Based Re-ranking.
Record Nr. UNISA-996466056403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
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MultiMedia Modeling [[electronic resource] ] : 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part II / / edited by Qi Tian, Nicu Sebe, Guo-Jun Qi, Benoit Huet, Richang Hong, Xueliang Liu
MultiMedia Modeling [[electronic resource] ] : 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part II / / edited by Qi Tian, Nicu Sebe, Guo-Jun Qi, Benoit Huet, Richang Hong, Xueliang Liu
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XXIII, 433 p. 185 illus. in color.)
Disciplina 006.7
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Multimedia information systems
Information storage and retrieval
Pattern recognition
Data mining
Application software
Multimedia Information Systems
Information Storage and Retrieval
Pattern Recognition
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
ISBN 3-319-27674-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Special Session Poster Papers (continued) -- Transfer Nonnegative Matrix Factorization for Image Representation -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Nonnegative Matrix Factorization -- 3.2 Hessian Regularization -- 4 Transfer Nonnegative Matrix Factorization -- 4.1 Problem Definition -- 4.2 Proposed Approach -- 4.3 Optimization -- 5 Experiments -- 5.1 Dataset Description -- 5.2 Performance on Cross-Domain Datasets -- 6 Conclusion -- References -- Sentiment Analysis on Multi-View Social Data -- 1 Introduction -- 2 Related Works -- 2.1 Sentiment Analysis Datasets -- 2.2 Sentiment Analysis Approaches -- 3 The MVSA Dataset -- 3.1 Data Collection and Annotation -- 3.2 Data Analysis -- 4 Predicting Sentiment in Multi-view Data -- 4.1 Text-Based Approaches -- 4.2 Visual-Based Approaches -- 4.3 Multi-view Sentiment Analysis -- 5 Experiments -- 5.1 Results on Textual Messages -- 5.2 Results on Images -- 5.3 Results on Multi-View Data -- 6 Conclusion and Future Work -- References -- Single Image Super-Resolution via Convolutional Neural Network and Total Variation Regularization -- Abstract -- 1 Introduction -- 2 Overview of the SR Algorithm -- 3 Convolutional Neural Network for SR -- 3.1 Training Set Generation -- 3.2 Convolutional Neural Network for SR -- 4 Regularization Constraints for SR -- 4.1 Non-Local Similarity Regularization Constraint -- 4.2 Local Similarity Regularization Constraint -- 4.3 Fundamental Formula -- 5 Experimental Results -- 5.1 Datasets -- 5.2 Results and Comparison -- 6 Conclusion -- References -- An Effective Face Verification Algorithm to Fuse Complete Features in Convolutional Neural Network -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Network Structure -- 3.2 Feature Extraction -- 3.3 Verification.
4 Experiments -- 5 Conclusion -- References -- Driver Fatigue Detection System Based on DSP Platform -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Face Detection -- 2.2 Eye Detection -- 2.3 Eye State Estimation -- 3 Experiment and Results -- 3.1 Experiment Setting -- 3.2 Experimental Results -- 4 Conclusion -- References -- Real-Time Grayscale-Thermal Tracking via Laplacian Sparse Representation -- 1 Introduction -- 2 Related Work -- 3 Bayesian Filtering for Object Tracking -- 4 Observation Model -- 4.1 Laplacian Sparse Representation -- 4.2 Candidate Likelihood -- 5 Experiments -- 5.1 Evaluation Settings -- 5.2 Evaluation Metrics -- 5.3 Comparison Results -- 5.4 Component Analysis -- 6 Conclusion -- References -- Efficient Perceptual Region Detector Based on Object Boundary -- 1 Introduction -- 2 Related Work -- 2.1 Superpixel -- 2.2 Local Detectors -- 2.3 General Object Proposal -- 3 CAR: The Method -- 3.1 Contour-Aware Superpixel (CAS) -- 3.2 Perceptual Regions Detection -- 4 Experiments -- 4.1 Under-Segmentation Error -- 4.2 Boundary Recall -- 4.3 CAR Detector Repeatability -- 5 Conclusions -- References -- 1D Barcode Region Detection Based on the Hough Transform and Support Vector Machine -- Abstract -- 1 Introduction -- 2 Proposed Method -- 2.1 Barcode Detection -- 2.2 Support Vector Machine -- 2.3 Hough Transform -- 2.4 Using the SVM Classifier to Judge Pieces of the Image -- 2.5 Post-processing -- 3 Experiments and Results Analysis -- 3.1 Datasets -- 3.2 Result -- 4 Conclusion -- Acknowledgment -- References -- Special Session Papers -- Client-Driven Strategy of Large-Scale Scene Streaming -- 1 Introduction -- 2 Related Works -- 3 Overview -- 4 Multiple-resolution 3D Space Adaptive Grid Creation -- 5 Scene Streaming Assemble Strategy -- 5.1 Dynamic Double Layer AOI (D-DLAOI) -- 5.2 Object Priority Determination and LOD Resolution.
6 Experimental Results -- 7 Conclusion and Future Work -- References -- SELSH: A Hashing Scheme for Approximate Similarity Search with Early Stop Condition -- 1 Introduction -- 2 Preliminaries -- 2.1 Problem Definition -- 2.2 Notations -- 3 Related Work -- 4 Our Method -- 4.1 LSH Function -- 4.2 Distance Measure, Linear Order and Early Stop Condition -- 4.3 Index Structure -- 4.4 Search Process -- 4.5 Complexity Analysis -- 5 Experimental Results -- 5.1 Set up -- 5.2 Selection of Appropriate Parameters -- 5.3 Comparison with SK-LSH and C2LSH -- 6 Conclusion -- References -- Learning Hough Transform with Latent Structures for Joint Object Detection and Pose Estimation -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Hough-Based Object Detection -- 3.2 Latent Deformable Feature Model -- 3.3 Multiple Instance Learning for M2HT -- 4 Experiment -- 4.1 Experiment Settings -- 4.2 Object Detection -- 4.3 Car Pose Estimation -- 5 Conclusion -- References -- Consensus Guided Multiple Match Removal for Geometry Verification in Image Retrieval -- 1 Introduction -- 2 Approximate Feature Matching -- 3 Geometric Verification by Hough Voting -- 4 Consensus Guided Multiple Match Removal -- 5 Experiments -- 5.1 Datasets and Evaluation -- 5.2 Experimental Setup -- 5.3 Experimental Results -- 6 Conclusion -- References -- Locality Constrained Sparse Representation for Cat Recognition -- 1 Introduction -- 2 The Methodology -- 2.1 Overview -- 2.2 Problem Formalism for Sparse Feature Representation -- 2.3 Supervised Dictionary Learning Approach -- 2.4 Recognition Task -- 3 Experimental Results -- 3.1 Dataset and Experimental Settings -- 3.2 Performance Evaluation -- 4 Conclusion and Future Work -- References -- User Profiling by Combining Topic Modeling and Pointwise Mutual Information (TM-PMI) -- Abstract -- 1 Introduction -- 2 The Proposed Approach.
2.1 Framework of the Proposed Approach -- 2.2 Data Preprocessing -- 2.3 LDA from Description of User Pins -- 2.4 Pointwise Mutual Information (PMI) -- 2.5 Personal Topic Words Extraction -- 2.6 Pins Recommended Based User Profile -- 3 Experiments -- 3.1 Dataset -- 3.2 Perplexity -- 3.3 User Study -- 3.4 Influence of the Number of Topic Words on the Result -- 4 Conclusion and Future Work -- References -- Image Retrieval Using Color-Aware Tag on Progressive Image Search and Recommendation System -- 1 Introduction -- 2 Related Works and Preliminaries -- 2.1 Related Works -- 2.2 PISAR System and WAS Algorithm -- 3 CAT Algorithm -- 3.1 Offline Phase -- 3.2 Online Phase -- 4 Experiment -- 4.1 Experimental Environment -- 4.2 Optimizing the Parameters in the CAT Algorithm -- 4.3 Example of Image Retrieval -- 4.4 Image Retrieval Result -- 5 Conclusions -- References -- Advancing Iterative Quantization Hashing Using Isotropic Prior -- 1 Introduction -- 2 Related Work -- 3 Isotropic Iterative Quantization -- 3.1 Preliminaries -- 3.2 Improving ITQ Using the Isotropic Prior -- 4 Experiments -- 5 Conclusion -- References -- An Improved RANSAC Image Stitching Algorithm Based Similarity Degree -- Abstract -- 1 Introduction -- 2 The Improved RANSAC Based Similarity Degree -- 2.1 Transformation Matrix of Image Registration -- 2.2 Calculation Method for RANSAC Sampled -- 2.3 Feature Points Matching in Coarse Matching Step -- 3 Pretreatment -- 4 Experimental Results and Analysis -- 5 Conclusions -- References -- A Novel Emotional Saliency Map to Model Emotional Attention Mechanism -- Abstract -- 1 Introduction -- 2 Emotional Saliency Map -- 2.1 Color Emotion Space -- 2.2 Emotional Saliency Map Computation -- 3 Experiments -- 3.1 Data Set and Error Measure -- 3.2 Experiments on Horror Image Set -- 3.3 Experiments on MS Image Set -- 4 Conclusion -- Acknowlegment.
References -- Automatic Endmember Extraction Using Pixel Purity Index for Hyperspectral Imagery -- Abstract -- 1 Introduction -- 2 Pixel Purity Index -- 3 Automatic Endmember Extraction Using Pixel Purity Index -- 3.1 Determining the Number of Endmembers Based on Noise Subspace Projection -- 3.2 Data Dimensionality Reduction by Improving Noise Covariance Matrix (NCM) Estimation for MNF Transformation -- 3.3 Experimental Results and Analysis -- 4 Conclusions -- Acknowledgment -- References -- A Fast 3D Indoor-Localization Approach Based on Video Queries -- 1 Introduction -- 2 Related Work -- 3 Fast 3D Indoor-Localization -- 3.1 Pipeline -- 3.2 Deblurring Query Images -- 3.3 Interactive Foreground Segmentation -- 3.4 Dynamic Scene Query for Localization -- 4 Graph Matching Verification -- 5 Experiments -- 6 Conclusion -- References -- Smart Ambient Sound Analysis via Structured Statistical Modeling -- 1 Introduction -- 2 Multilayer Based Ambient Sound Understanding -- 2.1 Audio Preprocessing -- 2.2 Structured Environmental Sound Modelling -- 2.3 Segment Based Adaptation -- 2.4 Audio Concept Estimation Using SVM -- 3 Experimental Configuration -- 3.1 Data Collections -- 3.2 Methodology and Evaluation Metrics -- 3.3 Competitors for Performance Comparison -- 4 Experiment Results -- 5 Conclusions -- References -- Discriminant Manifold Learning via Sparse Coding for Image Analysis -- 1 Introduction -- 2 Discriminant Manifold Learning via Sparse Coding (DML_SC) -- 2.1 Motivation -- 2.2 Dictionary Learning and Feature Regrouping -- 2.3 Graph Embedding -- 3 Experiment Results -- 3.1 Data Preparation and Representation -- 3.2 Face Recognition Results -- 3.3 Clustering Experiment on COIL20 Database -- 4 Conclusion -- References -- A Very Deep Sequences Learning Approach for Human Action Recognition -- Abstract -- 1 Introduction -- 2 Related Work.
2.1 Convolutional Neural Networks.
Record Nr. UNISA-996202815603316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
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MultiMedia Modeling : 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part I / / edited by Qi Tian, Nicu Sebe, Guo-Jun Qi, Benoit Huet, Richang Hong, Xueliang Liu
MultiMedia Modeling : 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part I / / edited by Qi Tian, Nicu Sebe, Guo-Jun Qi, Benoit Huet, Richang Hong, Xueliang Liu
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XXIV, 927 p. 354 illus. in color.)
Disciplina 006.7
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Multimedia systems
Information storage and retrieval
Pattern perception
Data mining
Application software
Multimedia Information Systems
Information Storage and Retrieval
Pattern Recognition
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
ISBN 3-319-27671-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Regular Papers -- Video Event Detection Using Kernel Support Vector Machine with Isotropic Gaussian Sample Uncertainty (KSVM-iGSU) -- 1 Introduction -- 2 Related Work -- 3 Kernel SVM-iGSU -- 3.1 Overview of LSVM-iGSU -- 3.2 Kernelizing LSVM-iGSU (KSVM-iGSU) -- 3.3 Relevance Degree KSVM-iGSU -- 4 Experiments and Results -- 4.1 Dataset and Evaluation Measures -- 4.2 Video Representation and Uncertainty -- 4.3 Experimental Results and Discussion -- 5 Conclusions and Future Work -- References -- Video Content Representation Using Recurring Regions Detection -- 1 Introduction -- 2 Related Work -- 3 Recurring Region Detection -- 3.1 Region Detection and Representation -- 3.2 Tracking, Shot-Track Representation, and Merging -- 3.3 Shot-Track Matching and Video-Track Merging -- 4 Evaluation -- 4.1 Dataset -- 4.2 Quantitative Evaluation -- 4.3 Qualitative Evaluation -- 5 Conclusion -- References -- Group Feature Selection for Audio-Based Video Genre Classification -- 1 Introduction -- 2 Feature Selection -- 3 Evaluation Setup -- 3.1 Audio Features -- 3.2 Datasets -- 3.3 Data Preprocessing -- 3.4 Classification -- 3.5 Performance Metrics -- 4 Experimental Results -- 4.1 Classification Performance -- 4.2 Feature Analysis -- 5 Conclusion -- References -- Computational Cartoonist: A Comic-Style Video Summarization System for Anime Films -- 1 Introduction -- 2 Related Work -- 3 Comic-Style Video Summarization -- 3.1 Shot Transition Detection -- 3.2 Key Frame Detection -- 3.3 Comic Layout -- 4 Evaluation -- 5 Conclusions and Future Work -- References -- Exploring the Long Tail of Social Media Tags -- 1 Introduction -- 2 Related Work -- 3 What Tags Constitute the Long Tail? -- 4 Utilizing the Long Tail -- 4.1 Augmenting Rare Tags -- 4.2 Tag Relevance -- 4.3 Learning Detectors.
5 Conclusions -- References -- Visual Analyses of Music Download History: User Studies -- 1 Introduction -- 2 Related Work -- 3 Visualization Design -- 4 User Studies -- 4.1 Implementation -- 4.2 Participants -- 4.3 Tasks -- 4.4 Results -- 4.5 Discussion -- 5 Conclusions -- References -- Personalized Annotation for Mobile Photos Based on User's Social Circle -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 3.1 Label Generation -- 3.2 Label Propagation -- 4 Experiment -- 4.1 DataSet -- 4.2 Evaluation of Album -- 4.3 Evaluation of Tag Generation -- 4.4 Evaluation of Personalized Annotation -- 5 Conclusion -- References -- Utilizing Sensor-Social Cues to Localize Objects-of-Interest in Outdoor UGVs -- 1 Introduction -- 2 Related Work -- 3 Sensor-Social-Based OOI Recognition -- 3.1 OOI Acquisition from UGVs -- 3.2 Classified Object Set Recommendation -- 3.3 OOI Description and Recognition -- 4 Experimental Results and Analysis -- 4.1 Dataset and Experimental Setup -- 4.2 Experimental Results and Analysis -- 5 Conclusions -- References -- NEWSMAN: Uploading Videos over Adaptive Middleboxes to News Servers in Weak Network Infrastructures -- 1 Introduction -- 2 Related Work -- 3 System Overview -- 4 Scheduling Problem and Solution -- 5 Simulations and Results -- 6 Conclusions -- References -- Computational Face Reader -- 1 Introduction -- 2 Related Work -- 2.1 Face Reading -- 2.2 Deep Convolutional Neural Network -- 3 Overview of Our Framework -- 4 Dataset Preparation and Library Construction -- 5 Deep Networks with Facial Region Pooling -- 5.1 Architecture -- 5.2 Training the Network -- 6 Experiments -- 6.1 Evaluation of Facial Attribute Estimation -- 6.2 Evaluation of Face Reading -- 7 Conclusions and Future Work -- References -- Posed and Spontaneous Expression Recognition Through Restricted Boltzmann Machine -- 1 Introduction.
2 The Proposed Method -- 2.1 Feature and Facial Events Extraction -- 2.2 Posed and Spontaneous Expression Modeling Using RBM -- 3 Experiments and Analysis -- 3.1 Experimental Conditions -- 3.2 Experimental Results and Analysis -- 3.3 Comparison with Other Methods -- 4 Conclusion and Future Works -- References -- DFRS: A Large-Scale Distributed Fingerprint Recognition System Based on Redis -- 1 Introduction -- 2 Background -- 2.1 Redis -- 2.2 Fingerprint Feature -- 2.3 Fingerprint Recognition -- 3 DFRS -- 3.1 System Architecture -- 3.2 Encoding and Decoding -- 3.3 Process of Fingerprint Recognition -- 3.4 Match Strategy Based on Quick-Return -- 4 Evaluation -- 4.1 Experiment Environment -- 4.2 Performance of Encoding and Decoding -- 4.3 Analytical Evaluation for Matching Method -- 4.4 Evaluation for Quick-Return -- 5 Conclusion and Future Work -- References -- Logo Recognition via Improved Topological Constraint -- 1 Introduction -- 2 Improved Topological Constraint -- 3 Logo Recognition -- 3.1 Feature Selection -- 3.2 Recognition -- 4 Experiments -- 4.1 Impact of Parameters -- 4.2 FlickrLogos-32 Dataset -- 4.3 FlickrLogos-27 Dataset -- 5 Conclusion -- References -- Compound Figure Separation Combining Edge and Band Separator Detection -- 1 Introduction -- 2 Related Work and Context -- 3 Proposed Algorithm -- 3.1 Illustration Classifier -- 3.2 Recursive Algorithm -- 3.3 Edge-Based Separator Detection -- 3.4 Band-Based Separator Detection -- 4 Parameter Optimization -- 5 Evaluation -- 5.1 Evaluation on ImageCLEF Dataset -- 5.2 Evaluation on NLM Dataset -- 5.3 Illustration Classifier Accuracy -- 6 Conclusion and Further Work -- References -- Camera Network Based Person Re-identification by Leveraging Spatial-Temporal Constraint and Multiple Cameras Relations -- 1 Introduction -- 2 Observations -- 3 Our Approach -- 3.1 Problem Definition.
3.2 Probabilistic Model with Spatial-Temporal Constraint -- 3.3 Optimization with Multiple Camera Relations -- 4 Experiments -- 4.1 Baselines -- 4.2 TMin Data Set -- 4.3 CamNeT -- 4.4 Running Time -- 5 Conclusion -- References -- Global Contrast Based Salient Region Boundary Sampling for Action Recognition -- 1 Introduction -- 2 Methodology -- 2.1 Improved Dense Trajectories -- 2.2 Motion Boundary Based Sampling -- 3 Our Approach -- 3.1 Global Contrast Based Salient Region Sampling -- 3.2 Optimization with Salient Region Boundary -- 4 Experiments -- 4.1 Datasets -- 4.2 Experimental Setup -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Elastic Edge Boxes for Object Proposal on RGB-D Images -- 1 Introduction -- 2 Related Work -- 3 Elastic Edge Boxes -- 3.1 Initial Bounding Boxes Generation -- 3.2 Elastic Range Determination -- 3.3 Bounding Box Adjustment -- 4 Experiments -- 4.1 Dataset Construction -- 4.2 Performance Evaluation -- 5 Conclusions -- References -- Pairing Contour Fragments for Object Recognition -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Contour Fragment Pairs -- 3.1 Matching Energy -- 3.2 Pairing Algorithm -- 3.3 Learning Subspace for CFPs -- 4 Recognition Algorithm -- 4.1 Learning Weak Classifiers Based on CFPs -- 4.2 Voting Boundaries and Foregrounds -- 5 Experiments -- 5.1 Experiments on Weizmann Horses Dataset -- 5.2 Experiments on ETHZ Shape Dataset -- 6 Conclusion and Future Works -- References -- Instance Search with Weak Geometric Correlation Consistency -- 1 Introduction -- 2 Related Work -- 3 Weak Geometric Correlation Consistency -- 3.1 Motivation -- 3.2 Implementation -- 3.3 Computational Complexity -- 4 Experiments -- 4.1 Datasets -- 4.2 Evaluation Protocol -- 4.3 Experiment Settings -- 5 Results and Discussion -- 6 Conclusion -- References.
Videopedia: Lecture Video Recommendation for Educational Blogs Using Topic Modeling -- 1 Introduction -- 2 Related Work -- 3 System Model -- 3.1 Dataset Used for Recommendation -- 3.2 Extracting Video Content -- 3.3 Extracting Webpage Content -- 3.4 Processing the Extracted Text -- 3.5 Topic Modeling -- 3.6 Definition of Similarity Matching -- 3.7 Algorithm for Video Recommendation -- 4 Experimental Results -- 4.1 Baselines Used for Comparison -- 4.2 Evaluation of Recommendation -- 5 Conclusions -- References -- Towards Training-Free Refinement for Semantic Indexing of Visual Media -- 1 Introduction -- 2 Related Work -- 3 Motivation and Proposed Solution -- 4 Training-Free Refinement (TFR) -- 4.1 Factorizing Detection Results -- 4.2 Integration with Ontologies -- 4.3 Temporal Neighbourhood-Based Propagation -- 5 Experiments and Discussion -- 5.1 Evaluation on Wearable Camera Images (Dataset1) -- 5.2 Evaluation on TRECVid Video (Dataset2) -- 5.3 Efficiency Analysis of TFR -- 6 Conclusions -- References -- Deep Learning Generic Features for Cross-Media Retrieval -- 1 Introduction -- 2 Related Work -- 3 Deep Learning Generic Features -- 3.1 Layer-Wise Pre-training -- 3.2 Overall Fine-Tuning -- 3.3 Cross-Media Retrieval -- 4 Experiments and Results -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Conclusions -- References -- Cross-Media Retrieval via Semantic Entity Projection -- 1 Introduction -- 2 Related Works -- 3 Our Approach -- 3.1 Entity Level Construction -- 3.2 Entity Projection Learning -- 3.3 Semantic Abstraction Generation -- 4 Experimental Evaluation -- 4.1 Dataset Description -- 4.2 Evaluation Metrics -- 4.3 Experimental Results -- 5 Conclusions -- References -- Visual Re-ranking Through Greedy Selection and Rank Fusion -- 1 Introduction -- 2 Effective Visual Re-ranking -- 2.1 Informative Feature Extraction -- 2.2 Label De-noising.
2.3 Graph-Based Re-ranking.
Record Nr. UNINA-9910481965403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
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MultiMedia Modeling : 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part II / / edited by Qi Tian, Nicu Sebe, Guo-Jun Qi, Benoit Huet, Richang Hong, Xueliang Liu
MultiMedia Modeling : 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part II / / edited by Qi Tian, Nicu Sebe, Guo-Jun Qi, Benoit Huet, Richang Hong, Xueliang Liu
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XXIII, 433 p. 185 illus. in color.)
Disciplina 006.7
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Multimedia systems
Information storage and retrieval
Pattern perception
Data mining
Application software
Multimedia Information Systems
Information Storage and Retrieval
Pattern Recognition
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
ISBN 3-319-27674-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Special Session Poster Papers (continued) -- Transfer Nonnegative Matrix Factorization for Image Representation -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Nonnegative Matrix Factorization -- 3.2 Hessian Regularization -- 4 Transfer Nonnegative Matrix Factorization -- 4.1 Problem Definition -- 4.2 Proposed Approach -- 4.3 Optimization -- 5 Experiments -- 5.1 Dataset Description -- 5.2 Performance on Cross-Domain Datasets -- 6 Conclusion -- References -- Sentiment Analysis on Multi-View Social Data -- 1 Introduction -- 2 Related Works -- 2.1 Sentiment Analysis Datasets -- 2.2 Sentiment Analysis Approaches -- 3 The MVSA Dataset -- 3.1 Data Collection and Annotation -- 3.2 Data Analysis -- 4 Predicting Sentiment in Multi-view Data -- 4.1 Text-Based Approaches -- 4.2 Visual-Based Approaches -- 4.3 Multi-view Sentiment Analysis -- 5 Experiments -- 5.1 Results on Textual Messages -- 5.2 Results on Images -- 5.3 Results on Multi-View Data -- 6 Conclusion and Future Work -- References -- Single Image Super-Resolution via Convolutional Neural Network and Total Variation Regularization -- Abstract -- 1 Introduction -- 2 Overview of the SR Algorithm -- 3 Convolutional Neural Network for SR -- 3.1 Training Set Generation -- 3.2 Convolutional Neural Network for SR -- 4 Regularization Constraints for SR -- 4.1 Non-Local Similarity Regularization Constraint -- 4.2 Local Similarity Regularization Constraint -- 4.3 Fundamental Formula -- 5 Experimental Results -- 5.1 Datasets -- 5.2 Results and Comparison -- 6 Conclusion -- References -- An Effective Face Verification Algorithm to Fuse Complete Features in Convolutional Neural Network -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Network Structure -- 3.2 Feature Extraction -- 3.3 Verification.
4 Experiments -- 5 Conclusion -- References -- Driver Fatigue Detection System Based on DSP Platform -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Face Detection -- 2.2 Eye Detection -- 2.3 Eye State Estimation -- 3 Experiment and Results -- 3.1 Experiment Setting -- 3.2 Experimental Results -- 4 Conclusion -- References -- Real-Time Grayscale-Thermal Tracking via Laplacian Sparse Representation -- 1 Introduction -- 2 Related Work -- 3 Bayesian Filtering for Object Tracking -- 4 Observation Model -- 4.1 Laplacian Sparse Representation -- 4.2 Candidate Likelihood -- 5 Experiments -- 5.1 Evaluation Settings -- 5.2 Evaluation Metrics -- 5.3 Comparison Results -- 5.4 Component Analysis -- 6 Conclusion -- References -- Efficient Perceptual Region Detector Based on Object Boundary -- 1 Introduction -- 2 Related Work -- 2.1 Superpixel -- 2.2 Local Detectors -- 2.3 General Object Proposal -- 3 CAR: The Method -- 3.1 Contour-Aware Superpixel (CAS) -- 3.2 Perceptual Regions Detection -- 4 Experiments -- 4.1 Under-Segmentation Error -- 4.2 Boundary Recall -- 4.3 CAR Detector Repeatability -- 5 Conclusions -- References -- 1D Barcode Region Detection Based on the Hough Transform and Support Vector Machine -- Abstract -- 1 Introduction -- 2 Proposed Method -- 2.1 Barcode Detection -- 2.2 Support Vector Machine -- 2.3 Hough Transform -- 2.4 Using the SVM Classifier to Judge Pieces of the Image -- 2.5 Post-processing -- 3 Experiments and Results Analysis -- 3.1 Datasets -- 3.2 Result -- 4 Conclusion -- Acknowledgment -- References -- Special Session Papers -- Client-Driven Strategy of Large-Scale Scene Streaming -- 1 Introduction -- 2 Related Works -- 3 Overview -- 4 Multiple-resolution 3D Space Adaptive Grid Creation -- 5 Scene Streaming Assemble Strategy -- 5.1 Dynamic Double Layer AOI (D-DLAOI) -- 5.2 Object Priority Determination and LOD Resolution.
6 Experimental Results -- 7 Conclusion and Future Work -- References -- SELSH: A Hashing Scheme for Approximate Similarity Search with Early Stop Condition -- 1 Introduction -- 2 Preliminaries -- 2.1 Problem Definition -- 2.2 Notations -- 3 Related Work -- 4 Our Method -- 4.1 LSH Function -- 4.2 Distance Measure, Linear Order and Early Stop Condition -- 4.3 Index Structure -- 4.4 Search Process -- 4.5 Complexity Analysis -- 5 Experimental Results -- 5.1 Set up -- 5.2 Selection of Appropriate Parameters -- 5.3 Comparison with SK-LSH and C2LSH -- 6 Conclusion -- References -- Learning Hough Transform with Latent Structures for Joint Object Detection and Pose Estimation -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Hough-Based Object Detection -- 3.2 Latent Deformable Feature Model -- 3.3 Multiple Instance Learning for M2HT -- 4 Experiment -- 4.1 Experiment Settings -- 4.2 Object Detection -- 4.3 Car Pose Estimation -- 5 Conclusion -- References -- Consensus Guided Multiple Match Removal for Geometry Verification in Image Retrieval -- 1 Introduction -- 2 Approximate Feature Matching -- 3 Geometric Verification by Hough Voting -- 4 Consensus Guided Multiple Match Removal -- 5 Experiments -- 5.1 Datasets and Evaluation -- 5.2 Experimental Setup -- 5.3 Experimental Results -- 6 Conclusion -- References -- Locality Constrained Sparse Representation for Cat Recognition -- 1 Introduction -- 2 The Methodology -- 2.1 Overview -- 2.2 Problem Formalism for Sparse Feature Representation -- 2.3 Supervised Dictionary Learning Approach -- 2.4 Recognition Task -- 3 Experimental Results -- 3.1 Dataset and Experimental Settings -- 3.2 Performance Evaluation -- 4 Conclusion and Future Work -- References -- User Profiling by Combining Topic Modeling and Pointwise Mutual Information (TM-PMI) -- Abstract -- 1 Introduction -- 2 The Proposed Approach.
2.1 Framework of the Proposed Approach -- 2.2 Data Preprocessing -- 2.3 LDA from Description of User Pins -- 2.4 Pointwise Mutual Information (PMI) -- 2.5 Personal Topic Words Extraction -- 2.6 Pins Recommended Based User Profile -- 3 Experiments -- 3.1 Dataset -- 3.2 Perplexity -- 3.3 User Study -- 3.4 Influence of the Number of Topic Words on the Result -- 4 Conclusion and Future Work -- References -- Image Retrieval Using Color-Aware Tag on Progressive Image Search and Recommendation System -- 1 Introduction -- 2 Related Works and Preliminaries -- 2.1 Related Works -- 2.2 PISAR System and WAS Algorithm -- 3 CAT Algorithm -- 3.1 Offline Phase -- 3.2 Online Phase -- 4 Experiment -- 4.1 Experimental Environment -- 4.2 Optimizing the Parameters in the CAT Algorithm -- 4.3 Example of Image Retrieval -- 4.4 Image Retrieval Result -- 5 Conclusions -- References -- Advancing Iterative Quantization Hashing Using Isotropic Prior -- 1 Introduction -- 2 Related Work -- 3 Isotropic Iterative Quantization -- 3.1 Preliminaries -- 3.2 Improving ITQ Using the Isotropic Prior -- 4 Experiments -- 5 Conclusion -- References -- An Improved RANSAC Image Stitching Algorithm Based Similarity Degree -- Abstract -- 1 Introduction -- 2 The Improved RANSAC Based Similarity Degree -- 2.1 Transformation Matrix of Image Registration -- 2.2 Calculation Method for RANSAC Sampled -- 2.3 Feature Points Matching in Coarse Matching Step -- 3 Pretreatment -- 4 Experimental Results and Analysis -- 5 Conclusions -- References -- A Novel Emotional Saliency Map to Model Emotional Attention Mechanism -- Abstract -- 1 Introduction -- 2 Emotional Saliency Map -- 2.1 Color Emotion Space -- 2.2 Emotional Saliency Map Computation -- 3 Experiments -- 3.1 Data Set and Error Measure -- 3.2 Experiments on Horror Image Set -- 3.3 Experiments on MS Image Set -- 4 Conclusion -- Acknowlegment.
References -- Automatic Endmember Extraction Using Pixel Purity Index for Hyperspectral Imagery -- Abstract -- 1 Introduction -- 2 Pixel Purity Index -- 3 Automatic Endmember Extraction Using Pixel Purity Index -- 3.1 Determining the Number of Endmembers Based on Noise Subspace Projection -- 3.2 Data Dimensionality Reduction by Improving Noise Covariance Matrix (NCM) Estimation for MNF Transformation -- 3.3 Experimental Results and Analysis -- 4 Conclusions -- Acknowledgment -- References -- A Fast 3D Indoor-Localization Approach Based on Video Queries -- 1 Introduction -- 2 Related Work -- 3 Fast 3D Indoor-Localization -- 3.1 Pipeline -- 3.2 Deblurring Query Images -- 3.3 Interactive Foreground Segmentation -- 3.4 Dynamic Scene Query for Localization -- 4 Graph Matching Verification -- 5 Experiments -- 6 Conclusion -- References -- Smart Ambient Sound Analysis via Structured Statistical Modeling -- 1 Introduction -- 2 Multilayer Based Ambient Sound Understanding -- 2.1 Audio Preprocessing -- 2.2 Structured Environmental Sound Modelling -- 2.3 Segment Based Adaptation -- 2.4 Audio Concept Estimation Using SVM -- 3 Experimental Configuration -- 3.1 Data Collections -- 3.2 Methodology and Evaluation Metrics -- 3.3 Competitors for Performance Comparison -- 4 Experiment Results -- 5 Conclusions -- References -- Discriminant Manifold Learning via Sparse Coding for Image Analysis -- 1 Introduction -- 2 Discriminant Manifold Learning via Sparse Coding (DML_SC) -- 2.1 Motivation -- 2.2 Dictionary Learning and Feature Regrouping -- 2.3 Graph Embedding -- 3 Experiment Results -- 3.1 Data Preparation and Representation -- 3.2 Face Recognition Results -- 3.3 Clustering Experiment on COIL20 Database -- 4 Conclusion -- References -- A Very Deep Sequences Learning Approach for Human Action Recognition -- Abstract -- 1 Introduction -- 2 Related Work.
2.1 Convolutional Neural Networks.
Record Nr. UNINA-9910481962203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
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Proceedings of the 2nd Workshop on Multimedia for Accessible Human Computer Interfaces / / Xueliang Liu, Rui Min, Troy McDaniel, editors
Proceedings of the 2nd Workshop on Multimedia for Accessible Human Computer Interfaces / / Xueliang Liu, Rui Min, Troy McDaniel, editors
Pubbl/distr/stampa New York, NY : , : Association for Computing Machinery, , 2019
Descrizione fisica 1 online resource (52 pages) : illustrations
Disciplina 004.019
Collana ACM international conference proceedings series
Soggetto topico Human-computer interaction
Interactive multimedia
Self-help devices for people with disabilities
User interfaces (Computer systems)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910412065503321
New York, NY : , : Association for Computing Machinery, , 2019
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