Image and Video Retrieval: 4th International Conference, CIVR 2005, Singapore, July 20-22, 2005, Proceedings: Lecture Notes in Computer Science, cartea 3568
Editat de Wee-Kheng Leow, Michael S. Lew, Tat-Seng Chua, Wei-Ying Ma, Lekha Chaisorn, Erwin M. Bakkeren Limba Engleză Paperback – 14 iul 2005
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Specificații
ISBN-13: 9783540278580
ISBN-10: 3540278583
Pagini: 688
Ilustrații: XVIII, 674 p.
Dimensiuni: 152 x 229 x 36 mm
Greutate: 0.96 kg
Ediția:2005
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540278583
Pagini: 688
Ilustrații: XVIII, 674 p.
Dimensiuni: 152 x 229 x 36 mm
Greutate: 0.96 kg
Ediția:2005
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Invited Presentations.- Lessons for the Future from a Decade of Informedia Video Analysis Research.- Large Scale Evaluations of Multimedia Information Retrieval: The TRECVid Experience.- Image and Video Retrieval from a User-Centered Mobile Multimedia Perspective.- Multimedia Research Challenges for Industry.- Industrial Presentations.- Practical Applications of Multimedia Search.- Video Story Segmentation and Its Application to Personal Video Recorders.- High-Speed Dialog Detection for Automatic Segmentation of Recorded TV Program.- Intellectual Property Management & Protection and Digital Right Management in MPEG.- Towards Media Semantics: An I2R Perspective.- Video Retrieval Techniques.- A Comparison of Score, Rank and Probability-Based Fusion Methods for Video Shot Retrieval.- EMD-Based Video Clip Retrieval by Many-to-Many Matching.- Video Story Segmentation and Event Detection.- Visual Cue Cluster Construction via Information Bottleneck Principle and Kernel Density Estimation.- Story Segmentation in News Videos Using Visual and Text Cues.- Boundary Error Analysis and Categorization in the TRECVID News Story Segmentation Task.- Semantic Event Detection in Structured Video Using Hybrid HMM/SVM.- Semantics in Video Retrieval.- What Can Expressive Semantics Tell: Retrieval Model for a Flash-Movie Search Engine.- The Use and Utility of High-Level Semantic Features in Video Retrieval.- Image Indexing and Retrieval.- Efficient Shape Indexing Using an Information Theoretic Representation.- Efficient Compressed Domain Target Image Search and Retrieval.- An Effective Multi-dimensional Index Strategy for Cluster Architectures.- Image/Video Annotation and Clustering.- Systematic Evaluation of Machine Translation Methods for Image and Video Annotation.- Automatic Image SemanticAnnotation Based on Image-Keyword Document Model.- Region-Based Image Clustering and Retrieval Using Multiple Instance Learning.- Interactive Video Retrieval and Others.- Interactive Video Search Using Multilevel Indexing.- Assessing Effectiveness in Video Retrieval.- Image/Video Retrieval Applications.- Person Spotting: Video Shot Retrieval for Face Sets.- Robust Methods and Representations for Soccer Player Tracking and Collision Resolution.- Modeling Multi-object Spatial Relationships for Satellite Image Database Indexing and Retrieval.- Video Processing, Retrieval and Multimedia Systems (Poster).- Hot Event Detection and Summarization by Graph Modeling and Matching.- Domain Knowledge Ontology Building for Semantic Video Event Description.- An Effective News Anchorperson Shot Detection Method Based on Adaptive Audio/Visual Model Generation.- Dialogue Sequence Detection in Movies.- Person Tracking and Multicamera Video Retrieval Using Floor Sensors in a Ubiquitous Environment.- Style Similarity Measure for Video Documents Comparison.- An Invariant Representation for Matching Trajectories Across Uncalibrated Video Streams.- Cyclic Sequence Comparison Using Dynamic Warping.- Design and Implementation of a Bandwidth Sensitive Distributed Continuous Media File System Using the Fibre Channel Network.- Advanced Documents Authoring Tool.- A Complete Keypics Experiment with Size Functions.- Using Projective Invariant Properties for Efficient 3D Reconstruction.- Web-Based Hybrid Visualization of Medical Images.- Similarity-Based Retrieval Method for Fractal Coded Images in the Compressed Data Domain.- A Robust Image Enhancement Technique for Improving Image Visual Quality in Shadowed Scenes.- Recycling Using Content-Based Image Retrieval on Mobile Device.- Trading Precision for Speed: Localised Similarity Functions.- Content-Based Object Movie Retrieval by Use of Relevance Feedback.- Towards Automatic Classification of 3-D Museum Artifacts Using Ontological Concepts.- Chi-Square Goodness-of-Fit Test of 3D Point Correspondence for Model Similarity Measure and Analysis.- Image Feature Extraction, Indexing and Retrieval (Poster).- Edge-Based Spatial Descriptor for Content-Based Image Retrieval.- Distributional Distances in Color Image Retrieval with GMVQ-Generated Histograms.- A Novel Texture Descriptor Using Over-Complete Wavelet Transform and Its Fractal Signature.- Region Filtering Using Color and Texture Features for Image Retrieval.- Automatic Annotation of Images from the Practitioner Perspective.- Automated Image Annotation Using Global Features and Robust Nonparametric Density Estimation.- Semantic Annotation of Image Groups with Self-organizing Maps.- A Conceptual Image Retrieval Architecture Combining Keyword-Based Querying with Transparent and Penetrable Query-by-Example.- On Image Retrieval Using Salient Regions with Vector-Spaces and Latent Semantics.- Natural / Man-Made Object Classification Based on Gabor Characteristics.- Image Object Recognition by SVMs and Evidence Theory.- Improvement on PCA and 2DPCA Algorithms for Face Recognition.- Person Search Made Easy.- Learning Shapes for Image Classification and Retrieval.- A Heuristic Search for Relevant Images on the Web.- Image Browsing: Semantic Analysis of NN k Networks.- Automated Liver Detection in Ultrasound Images.- A Weakly Supervised Approach for Semantic Image Indexing and Retrieval.- Aspect-Based Relevance Learning for Image Retrieval.- Content-Free Image Retrieval by Combinations of Keywords and User Feedbacks.- Improved AdaBoost-Based Image Retrieval with Relevance Feedback via Paired Feature Learning.