Image and Video Retrieval

Image and Video Retrieval

Second International Conference, CIVR 2003, Urbana-Champaign, IL, USA, July 24-25, 2003, Proceedings

Zhou, Xiang S.; Huang, Thomas S.; Bakker, Erwin M.; Lew, Michael S.; Sebe, Nicu

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

07/2003

512

Mole

Inglês

9783540406341

15 a 20 dias

1640

Descrição não disponível.
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 Video Using Temporal Gradients and Audio Classification.- User Studies (Oral).- Text or Pictures? An Eyetracking Study of How People View Digital Video Surrogates.- A State Transition Analysis of Image Search Patterns on the Web.- Towards a Comprehensive Survey of the Semantic Gap in Visual Image Retrieval.- Applications (Oral).- Audio-Based Event Detection for Sports Video.- Spectral Structuring of Home Videos.- Home Photo Retrieval: Time Matters.- Automatic Annotation of Tennis Action for Content-Based Retrieval by Integrated Audio and Visual Information.- Indexing of Personal Video Captured by a Wearable Imaging System.- Semantics/Learning II (Poster).- Constructive Learning Algorithm-Based RBF Network for Relevance Feedback in Image Retrieval.- Spatial-Temporal Semantic Grouping of Instructional Video Content.- A Novel Scheme for Video Similarity Detection.- Concept-Based Retrieval of Art Documents.- Video Retrieval II (Poster).- Video Retrieval of Human Interactions Using Model-Based Motion Tracking and Multi-layer Finite State Automata.- Fast Video Retrieval under Sparse Training Data.- Robust Content-Based Video Copy Identification in a Large Reference Database.- Video Summarization & Analysis (Poster).- ANSES: Summarisation of News Video.- Spatio-Temporal Decomposition of Sport Events for Video Indexing.- Audio-Assisted Scene Segmentation for Story Browsing.- Performance (Poster).- Performance Comparison of Different Similarity Models for CBIR with Relevance Feedback.- EBS k-d Tree: An Entropy Balanced Statistical k-d Tree for Image Databases with Ground-Truth Labels.- Fast Search in Large-Scale Image Database Using Vector Quantization.- Speaker Localisation Using Audio-Visual Synchrony: An Empirical Study.- An Efficiency Comparison of Two Content-Based Image Retrieval Systems, GIFT and PicSOM.
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Digital Video;GIF;Multimedia;Performance;algorithms;content-based image retrieval;digital library retrieval;feature-based retrieval;image retrieval;indexing;multimedia retrieval;semantic visual retrieval;similarity search;video retrieval;video summarization