Image and Video Retrieval [[electronic resource] ] : International Conference, CIVR 2002, London, UK, July 18-19, 2002. Proceedings / / edited by Michael S. Lew, Nicu Sebe, John P. Eakins

• Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002
• Edizione: 1st ed. 2002.
• Descrizione fisica: 1 online resource (XII, 392 p.)
• Disciplina: 621.36/7
• Soggetto topico: Information storage and retrieval; Optical data processing; Lasers; Photonics; Database management; Application software; Multimedia information systems; Information Storage and Retrieval; Image Processing and Computer Vision; Optics, Lasers, Photonics, Optical Devices; Database Management; Information Systems Applications (incl. Internet); Multimedia Information Systems
• Persona (resp. second.): LewMichael S; SebeNicu; EakinsJohn P
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Evaluation of salient point techniques -- Challenges of Image and Video Retrieval -- Image Retrieval I (Oral) -- Visualization, Estimation and User-Modeling for Interactive Browsing of Image Libraries -- Robust Shape Matching -- Semantics-Based Image Retrieval by Region Saliency -- The Truth about Corel - Evaluation in Image Retrieval -- Non-retrieval: Blocking Pornographic Images -- Modelling I (Poster) -- A Linear Image-Pair Model and the Associated Hypothesis Test for Matching -- On the Coupled Forward and Backward Anisotropic Diffusion Scheme for Color Image Enhancement -- Multiple Regions and Their Spatial Relationship-Based Image Retrieval -- Feature Based Retrieval (Poster) -- Query by Fax for Content-Based Image Retrieval -- Spectrally Layered Color Indexing -- Using an Image Retrieval System for Vision-Based Mobile Robot Localization -- JPEG Image Retrieval Based on Features from DCT Domain -- Image Retrieval Methods for a Database of Funeral Monuments -- Semantics/Learning I (Poster) -- AtomsNet: Multimedia Peer2Peer File Sharing -- Visual Clustering of Trademarks Using the Self-Organizing Map -- FACERET: An Interactive Face Retrieval System Based on Self-Organizing Maps -- Object-Based Image Retrieval Using Hierarchical Shape Descriptor -- Video Retrieval (Oral) -- Multimodal Person Identification in Movies -- Automated Scene Matching in Movies -- Content Based Analysis for Video from Snooker Broadcasts -- Retrieval of Archival Moving Imagery - CBIR Outside the Frame? -- Challenges for Content-Based Navigation of Digital Video in the Físchlár Digital Library -- Image Retrieval II (Oral) -- Spin Images and Neural Networks for Efficient Content-Based Retrieval in 3D Object Databases -- Size Functions for Image Retrieval: A Demonstrator on Randomly Generated Curves -- An Efficient Coding of Three Dimensional Colour Distributions for Image Retrieval -- Content-Based Retrieval of Historical Watermark Images: I-tracings -- Semantics/Learning II (Poster) -- Object Recognition for Video Retrieval -- Semantic Video Retrieval Using Audio Analysis -- Extracting Semantic Information from Basketball Video Based on Audio-Visual Features -- Video Indexing and Retrieval for Archeological Digital Library, CLIOH -- Fast k-NN Image Search with Self-Organizing Maps -- Video Retrieval by Feature Learning in Key Frames -- Modelling II (Poster) -- Local Affine Frames for Image Retrieval -- A Ranking Algorithm Using Dynamic Clustering for Content-Based Image Retrieval -- Online Bayesian Video Summarization and Linking -- Face Detection for Video Summaries -- Evaluation/Benchmarking (Poster) -- A Method for Evaluating the Performance of Content-Based Image Retrieval Systems Based on Subjectively Determined Similarity between Images -- Evaluation of Salient Point Techniques -- Personal Construct Theory as a Research Tool for Analysing User Perceptions of Photographs.
• Titolo autorizzato: Image and Video Retrieval
• ISBN: 3-540-45479-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996465378303316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Computer Science, . 0302-9743 ; ; 2383