Image and Video Retrieval: Second International Conference, CIVR 2003, Urbana-Champaign, IL, USA, July 24-25, 2003, Proceedings [Paperback]

The State of the Art in Image and Video Retrieval.- The State of the Art in Image and Video Retrieval.- Invited Presentations.- Multimedia Content Analysis: The Next Wave.- TRECVID: Benchmarking the Effectiveness of Information Retrieval Tasks on Digital Video.- Image Retrieval (Oral).- Shape Feature Matching for Trademark Image Retrieval.- Central Object Extraction for Object-Based Image Retrieval.- Learning Optimal Representations for Image Retrieval Applications.- A Closer Look at Boosted Image Retrieval.- HPAT Indexing for Fast Object/Scene Recognition Based on Local Appearance.- Indexing Strategies & Structures (Poster).- Hierarchical Clustering-Merging for Multidimensional Index Structures.- Integrated Image Content and Metadata Search and Retrieval across Multiple Databases.- Multilevel Relevance Judgment, Loss Function, and Performance Measure in Image Retrieval.- Majority Based Ranking Approach in Web Image Retrieval.- Feature Based Retrieval (Poster).- Improving Fractal Codes Based Image Retrieval Using Histogram of Collage Errors.- Content-Based Retrieval of Historical Watermark Images: II - Electron Radiographs.- Selection of the Best Representative Feature and Membership Assignment for Content-Based Fuzzy Image Database.- A Compact Shape Descriptor Based on the Beam Angle Statistics.- Efficient Similar Trajectory-Based Retrieval for Moving Objects in Video Databases.- Semantics/Learning I (Poster).- Associating Cooking Video Segments with Preparation Steps.- Evaluation of Expression Recognition Techniques.- A Hybrid Framework for Detecting the Semantics of Concepts and Context.- Learning in Region-Based Image Retrieval.- Video Retrieval I (Oral).- Multiple Features in Temporal Models for the Representation of Visual Contents in Video.- Detection of Documentary Scene Changes by Audio-Visual Fusion.- Multimedia Search with Pseudo-relevance Feedback.- Modal Keywords, Ontologies, and Reasoning for Video Understanding.- Detecting Semantic Concepts from VlÓ&