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[null,null,"Titolo",null,"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"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016"]
[null,null,"ISBN",null,"3-319-27671-9"]
[null,null,"Edizione",null,"[1st ed. 2016.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXIV, 927 p. 354 illus. in color.)"]
[null,null,"Collana",null,"Information Systems and Applications, incl. Internet/Web, and HCI ; ; 9516"]
[null,null,"Disciplina",null,"006.7"]
[null,null,"Soggetti",null,"Multimedia information systems"]
[{"$nulls":4},"Information storage and retrieval"]
[{"$nulls":4},"Pattern recognition"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Multimedia Information Systems"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Pattern Recognition"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Information Systems Applications (incl. Internet)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Regular Papers -- Video Event Detection Using Kernel Support Vector Machine with Isotropic Gaussian Sample Uncertainty (KSVM-iGSU) -- 1 Introduction -- 2 Related Work -- 3 Kernel SVM-iGSU -- 3.1 Overview of LSVM-iGSU -- 3.2 Kernelizing LSVM-iGSU (KSVM-iGSU) -- 3.3 Relevance Degree KSVM-iGSU -- 4 Experiments and Results -- 4.1 Dataset and Evaluation Measures -- 4.2 Video Representation and Uncertainty -- 4.3 Experimental Results and Discussion -- 5 Conclusions and Future Work -- References -- Video Content Representation Using Recurring Regions Detection -- 1 Introduction -- 2 Related Work -- 3 Recurring Region Detection -- 3.1 Region Detection and Representation -- 3.2 Tracking, Shot-Track Representation, and Merging -- 3.3 Shot-Track Matching and Video-"]
[{"$nulls":4},"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."]
[{"$nulls":4},"5 Conclusions -- References -- Visual Analyses of Music Download History: User Studies -- 1 Introduction -- 2 Related Work -- 3 Visualization Design -- 4 User Studies -- 4.1 Implementation -- 4.2 Participants -- 4.3 Tasks -- 4.4 Results -- 4.5 Discussion -- 5 Conclusions -- References -- Personalized Annotation for Mobile Photos Based on User's Social Circle -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 3.1 Label Generation -- 3.2 Label Propagation -- 4 Experiment -- 4.1 DataSet -- 4.2 Evaluation of Album -- 4.3 Evaluation of Tag Generation -- 4.4 Evaluation of Personalized Annotation -- 5 Conclusion -- References -- Utilizing Sensor-Social Cues to Localize Objects-of-Interest in Outdoor UGVs -- 1 Introduction -- 2 Related Work -- 3 Sensor-Social-Based OOI Recognition -- 3.1 OOI Acquisition from UGVs -- 3.2 Classified Object Set Recommendation -- 3.3 OOI Description and Recognition -- 4 Experimental Results and Analysis -- 4.1 Dataset and Experimental Setup -- 4.2 Experimental Results and Analysis -- 5 Conclusions -- References -- NEWSMAN: Uploading Videos over Adaptive Middleboxes to News Servers in Weak Network Infrastructures -- 1 Introduction -- 2 Related Work -- 3 System Overview -- 4 Scheduling Problem and Solution -- 5 Simulations and Results -- 6 Conclusions -- References -- Computational Face Reader -- 1 Introduction -- 2 Related Work -- 2.1 Face Reading -- 2.2 Deep Convolutional Neural Network -- 3 Overview of Our Framework -- 4 Dataset Preparation and Library Construction -- 5 Deep Networks with Facial Region Pooling -- 5.1 Architecture -- 5.2 Training the Network -- 6 Experiments -- 6.1 Evaluation of Facial Attribute Estimation -- 6.2 Evaluation of Face Reading -- 7 Conclusions and Future Work -- References -- Posed and Spontaneous Expression Recognition Through Restricted Boltzmann Machine -- 1 Introduction."]
[{"$nulls":4},"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 "]
[{"$nulls":4},"Work -- References -- Logo Recognition via Improved Topological Constraint -- 1 Introduction -- 2 Improved Topological Constraint -- 3 Logo Recognition -- 3.1 Feature Selection -- 3.2 Recognition -- 4 Experiments -- 4.1 Impact of Parameters -- 4.2 FlickrLogos-32 Dataset -- 4.3 FlickrLogos-27 Dataset -- 5 Conclusion -- References -- Compound Figure Separation Combining Edge and Band Separator Detection -- 1 Introduction -- 2 Related Work and Context -- 3 Proposed Algorithm -- 3.1 Illustration Classifier -- 3.2 Recursive Algorithm -- 3.3 Edge-Based Separator Detection -- 3.4 Band-Based Separator Detection -- 4 Parameter Optimization -- 5 Evaluation -- 5.1 Evaluation on ImageCLEF Dataset -- 5.2 Evaluation on NLM Dataset -- 5.3 Illustration Classifier Accuracy -- 6 Conclusion and Further Work -- References -- Camera Network Based Person Re-identification by Leveraging Spatial-Temporal Constraint and Multiple Cameras Relations -- 1 Introduction -- 2 Observations -- 3 Our Approach -- 3.1 Problem Definition."]
[{"$nulls":4},"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."]
[{"$nulls":4},"Videopedia: Lecture Video Recommendation for Educational Blogs Using Topic Modeling -- 1 Introduction -- 2 Related Work -- 3 System Model -- 3.1 Dataset Used for Recommendation -- 3.2 Extracting Video Content -- 3.3 Extracting Webpage Content -- 3.4 Processing the Extracted Text -- 3.5 Topic Modeling -- 3.6 Definition of Similarity Matching -- 3.7 Algorithm for Video Recommendation -- 4 Experimental Results -- 4.1 Baselines Used for Comparison -- 4.2 Evaluation of Recommendation -- 5 Conclusions -- References -- Towards Training-Free Refinement for Semantic Indexing of Visual Media -- 1 Introduction -- 2 Related Work -- 3 Motivation and Proposed Solution -- 4 Training-Free Refinement (TFR) -- 4.1 Factorizing Detection Results -- 4.2 Integration with Ontologies -- 4.3 Temporal Neighbourhood-Based Propagation -- 5 Experiments and Discussion -- 5.1 Evaluation on Wearable Camera Images (Dataset1) -- "]
[{"$nulls":4},"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."]
[{"$nulls":4},"2.3 Graph-Based Re-ranking."]
[null,null,null,"Sommario/riassunto","The two-volume set LNCS 9516 and LNCS 9517 constitutes the refereed proceedings of the 22nd International Conference on Multimedia Modeling, MMM 2016, held in Miami, FL, USA, in January 2016. The 32 revised full papers and 52 poster papers presented were carefully reviewed and selected from 117 submissions. In addition 20 papers were accepted for five special sessions out of 38 submissions as well as 7 demonstrations (from 11 submissions) and 9 video showcase papers. The papers are organized in topical sections on video content analysis, social media analysis, object recognition and system, multimedia retrieval and ranking, multimedia representation, machine learning in multimedia, and interaction and mobile. The special sessions are: good practices in multimedia modeling; semantics discovery from multimedia big data; perception, aesthetics, and emotion in multimedia quality modeling; multimodal learning and computing for human activity understanding; and perspectives on multimedia analytics."]