Image Analysis and Processing - ICIAP 2017 : 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part I / / edited by Sebastiano Battiato, Giovanni Gallo, Raimondo Schettini, Filippo Stanco

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
• Edizione: 1st ed. 2017.
• Descrizione fisica: 1 online resource (XXVII, 767 p. 298 illus.)
• Disciplina: 621.367
• Soggetto topico: Optical data processing; Artificial intelligence; Pattern recognition; User interfaces (Computer systems); Data mining; Computer communication systems; Image Processing and Computer Vision; Artificial Intelligence; Pattern Recognition; User Interfaces and Human Computer Interaction; Data Mining and Knowledge Discovery; Computer Communication Networks
• Persona (resp. second.): BattiatoSebastiano; GalloGiovanni; SchettiniRaimondo; StancoFilippo
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Video Analysis and Understanding -- A Rank Aggregation Framework for Video Interestingness Prediction -- 1 Introduction -- 2 Related Work -- 3 Feature Extraction -- 3.1 Histogram of Motion Patterns -- 3.2 Mel-Frequency Cepstral Coefficients -- 4 Ranking Models -- 5 Rank Aggregation Framework -- 5.1 Borda Method -- 5.2 Reciprocal Rank Fusion -- 5.3 Multiplicative Rank Aggregation -- 6 Experiments and Results -- 7 Conclusions -- References -- Graph-Based Hierarchical Video Cosegmentation -- 1 Introduction -- 2 Graph-Based Hierarchical Clustering -- 3 Proposed Method -- 4 Experiments -- 5 Conclusion -- References -- Interest Region Based Motion Magnification -- 1 Introduction -- 2 Related Work -- 3 Interest Region Based Motion Magnification -- 3.1 Object Segmentation -- 3.2 Scribble Drawing and Alpha Matting -- 3.3 Video Magnification -- 3.4 Pipeline -- 4 Experiments and Discussion -- 5 Conclusion -- References -- Investigating the Use of Space-Time Primitives to Understand Human Movements -- 1 Introduction -- 2 Shearlet Theory: An Overview -- 3 Building Dictionaries of Space-Time Primitives -- 4 Experimental Analysis -- 4.1 Dataset and Experimental Protocol -- 4.2 Preliminary Investigation -- 5 Discussion -- References -- Organizing Videos Streams for Clustering and Estimation of Popular Scenes -- 1 Introduction -- 2 Related Works -- 3 RECfusion System Overview -- 3.1 Intraflow Analysis -- 3.2 Interflow Analysis -- 3.3 Cluster Tracking -- 4 Datasets -- 5 Experimental Settings and Results -- 6 Conclusion and Future Works -- References -- 360° Tracking Using a Virtual PTZ Camera -- 1 Introduction -- 2 Related Works -- 2.1 360 Image Representation -- 2.2 PTZ Tracking -- 3 360 Camera Model -- 3.1 Equirectangular Projection. ; 3.2 Equirectangular to Virtual Camera Plane Projection -- 4 Tracking Model -- 4.1 Tracking Algorithm -- 5 Results -- 6 Conclusions -- References -- Benchmarking Two Algorithms for People Detection from Top-View Depth Cameras -- 1 Introduction -- 2 Methods Considered for the Benchmarking -- 2.1 WATERFILLING -- 2.2 HOG-SVM -- 3 The Adopted Dataset -- 4 Experimental Analysis -- 4.1 Performance Indices -- 4.2 Training Procedure -- 4.3 Analysis of the Experimental Results -- 5 Conclusions and Future Work -- References -- Gesture Modelling and Recognition by Integrating Declarative Models and Pattern Recognition Algorithms -- 1 Introduction -- 2 Related Work -- 2.1 Vision-Based Gesture Recognition Approaches -- 2.2 Gesture Recognition: The Declarative Modelling Approach -- 3 Combining the Two Approaches with DEICTIC -- 4 Experiments and Preliminary Results -- 5 Conclusions -- References -- How Far Can You Get by Combining Change Detection Algorithms? -- 1 Introduction -- 2 The Proposed Approach -- 3 Experimental Setup -- 4 Results -- 5 Computational Time -- 6 Conclusion -- References -- Robust Tracking of Walking Persons by Elite-Type Particle Filters and RGB-D Images -- 1 Introduction -- 2 Elite-Type Particle Filter -- 2.1 Overall Structure of Tracking Algorithm -- 2.2 Basic Structure of Elite-Type Particle Filter -- 2.3 Likelihoods -- 2.4 Resampling -- 3 Transitional Management of PF States -- 4 Parameter Adjustment -- 5 Experiment -- 5.1 Specifications -- 5.2 Results and Discussion -- 6 Conclusions -- References -- Video Saliency Detection Based on Boolean Map Theory -- 1 Introduction -- 2 Boolean-Map Video Saliency -- 2.1 Boolean Maps Generation -- 2.2 Saliency Computation -- 3 Experimental Results -- 3.1 Experiments -- 3.2 Results -- 4 Conclusion -- References -- A System for Autonomous Landing of a UAV on a Moving Vehicle -- 1 Introduction. ; 2 System Architecture -- 2.1 Hardware Architecture -- 2.2 Software Architecture -- 3 Dynamic Target Position Estimation -- 4 Target Detection and Tracking -- 4.1 Acquisition Hardware -- 4.2 Video Analysis -- 5 Basic Landing Strategy -- 6 Results -- 6.1 Simulations -- 6.2 On Field Trials -- 7 Conclusions -- References -- One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network -- 1 Introduction -- 1.1 Related Work -- 2 Time-Dependent Video Frame Prediction -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Dataset -- 3.3 Experimental Results -- 3.4 Ambiguities and Downsides -- 4 Conclusion -- References -- Joint Orientations from Skeleton Data for Human Activity Recognition -- 1 Introduction -- 2 State of the Art -- 3 Proposed Approach -- 4 Experiments -- 4.1 Office Activity Dataset (OAD) -- 4.2 Results -- 5 Conclusions -- References -- A Tensor Framework for Data Stream Clustering and Compression -- Abstract -- 1 Introduction -- 2 Architecture of Tensor Stream Clustering and Compression -- 3 Tensor Model Build and Update Scheme for Data Clustering -- 4 Stream Compression on Shot Boundaries -- 5 Experimental Results -- 6 Conclusions -- Acknowledgement -- References -- Convex Polytope Ensembles for Spatio-Temporal Anomaly Detection -- 1 Introduction and Related Work -- 2 Anomaly Detection with Convex Polytopes -- 2.1 Model Building -- 2.2 Anomaly Localization -- 3 Experimental Results -- 4 Conclusion -- References -- Human Action Classification Using an Extended BoW Formalism -- 1 Introduction -- 2 Related Work -- 3 Traditional Bag-of-Words -- 4 An Extended BoW Formalism -- 5 Experimental Analysis -- 5.1 Datasets and Protocols -- 5.2 Experimental Setup -- 5.3 Comparison with the State-of-the-art -- 6 Conclusions and Further Works -- References -- Virtual EMG via Facial Video Analysis -- 1 Introduction. ; 2 Method -- 3 Experimental Work -- 4 Discussion and Conclusions -- References -- Pattern Recognition and Machine Learning -- A Compact Kernel Approximation for 3D Action Recognition -- 1 Introduction -- 2 Related Work -- 3 The Proposed Approximated Feature Map -- 4 Results -- 5 Conclusions -- A Proofs of All Theoretical Results -- References -- A Machine Learning Approach for the Online Separation of Handwriting from Freehand Drawing -- 1 Introduction -- 2 Related Work -- 3 The Proposed Method -- 3.1 Pre-processing Stage -- 3.2 Feature Extraction Stage -- 3.3 Machine Learning Stage -- 3.4 Domain Separation Stage -- 4 Experimental Results and Discussion -- 4.1 Dataset -- 4.2 Results -- 5 Conclusions -- References -- Learning to Map Vehicles into Bird's Eye View -- 1 Introduction -- 2 Related Work -- 3 Proposed Dataset -- 4 Model -- 5 Experimental Results -- 6 Conclusions -- References -- Linear Regularized Compression of Deep Convolutional Neural Networks -- 1 Introduction -- 2 Related Works -- 3 Our Approach -- 4 Experimental Results -- 5 Conclusions and Future Works -- References -- Network Edge Entropy from Maxwell-Boltzmann Statistics -- 1 Introduction -- 2 Preliminaries -- 2.1 Von Neumann Entropy -- 3 Network Entropy in Maxwell-Boltzmann Statistics -- 3.1 Thermodynamic Representation -- 3.2 Maxwell-Boltzmann Statistics -- 3.3 Edge Entropy Analysis -- 4 Experiments and Evaluations -- 4.1 Data Sets -- 4.2 Experimental Results -- 5 Conclusion -- References -- Learning from Enhanced Contextual Similarity in Brain Imaging Data for Classification of Schizophrenia -- 1 Introduction -- 2 Learning from Enhanced Contextual Similarity -- 2.1 CS Enhancement Using DML -- 2.2 Learning from Enhanced CS of MR Images Using GT -- 3 Experiments -- 3.1 Dataset and Representation -- 3.2 Experimental Analysis -- 3.3 Experimental Results. ; 3.4 Discussion of the Experimental Results -- 4 Conclusion -- References -- 3D Object Detection Method Using LiDAR Information in Multiple Frames -- 1 Introduction -- 2 Proposed Method -- 2.1 2D-Object Detection and 3D-Environment Reconstruction Using LiDAR -- 2.2 Supplementing Information Through Object Matching in Multi Frame -- 3 Experimental Results -- 3.1 Implementation Details -- 3.2 KITTI Detection Accuracy -- 3.3 KITTI Orientation Accuracy -- 4 Conclusion -- References -- Colorizing Infrared Images Through a Triplet Conditional DCGAN Architecture -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Experimental Results -- 5 Conclusions -- References -- Complexity and Accuracy of Hand-Crafted Detection Methods Compared to Convolutional Neural Networks -- 1 Introduction -- 2 Object Detection -- 2.1 Traditional Approaches -- 2.2 Neural Networks -- 2.3 Optimized Aggregated Channel Feature Detection -- 2.4 Convolutional Neural Network Detection -- 3 Experimental Evaluation -- 3.1 Datasets -- 3.2 Metrics for Complexity and Accuracy -- 3.3 Accuracy Results -- 3.4 Complexity Results -- 4 Conclusion and Future Work -- References -- Emotion Recognition Based on Occluded Facial Expressions -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Preprocessing -- 3.2 Facial Expression Reconstruction -- 3.3 Facial Feature Extraction -- 3.4 Feature Reduction -- 3.5 Classification -- 4 Results -- 5 Conclusions and Future Work -- References -- Exploiting Context Information for Image Description -- 1 Introduction -- 2 Related Work -- 3 System Architecture -- 3.1 Probabilistic Ontology -- 3.2 Combination Models -- 4 Experimental Assessment -- 4.1 Results and Discussion -- 5 Conclusions and Future Work -- References -- Generating Knowledge-Enriched Image Annotations for Fine-Grained Visual Classification -- 1 Introduction -- 2 Related Work. ; 3 Generating Knowledge-Enriched Visual Annotations.
• Sommario/riassunto: The two-volume set LNCS 10484 and 10485 constitutes the refereed proceedings of the 19th International Conference on Image Analysis and Processing, ICIAP 2017, held in Catania, Italy, in September 2017. The 138 papers presented were carefully reviewed and selected from 229 submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical sections: video analysis and understanding; pattern recognition and machine learning; multiview geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; information forensics and security; imaging for cultural heritage and archaeology; and imaging solutions for improving the quality of life.
• Titolo autorizzato: Image Analysis and Processing - ICIAP 2017
• ISBN: 3-319-68560-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910485003803321
• Lo trovi qui: Univ. Federico II
• Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 10484