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Image and Video Retrieval: Third International Conference, CIVR 2004, Dublin, Ireland, July 21-23, 2004, Proceedings: Lecture Notes in Computer Science, cartea 3115

Editat de Peter Enser, Yiannis Kompatsiaris, Noel E. O'Connor, Alan Smeaton, Arnold W.M. Smeulders
en Limba Engleză Paperback – 8 iul 2004

Din seria Lecture Notes in Computer Science

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Specificații

ISBN-13: 9783540225393
ISBN-10: 3540225390
Pagini: 704
Ilustrații: XVIII, 686 p.
Dimensiuni: 155 x 235 x 37 mm
Greutate: 1.6 kg
Ediția:2004
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Keynote Speaker Abstracts.- Pattern Mining in Large-Scale Image and Video Sources.- Computer Vision in the Movies: From the Lab to the Big Screen.- Image and Video Retrieval Using New Capture and Display Devices.- Models of Interaction with Video Information.- Image Annotation and User Searching.- User Strategies in Video Retrieval: A Case Study.- Video Content Foraging.- Using Maximum Entropy for Automatic Image Annotation.- Everything Gets Better All the Time, Apart from the Amount of Data.- Image and Video Retrieval Algorithms (I).- An Inference Network Approach to Image Retrieval.- Small Sample Size Performance of Evolutionary Algorithms for Adaptive Image Retrieval.- Co-retrieval: A Boosted Reranking Approach for Video Retrieval.- Poster Session (I).- HMM Model Selection Issues for Soccer Video.- Tennis Video Analysis Based on Transformed Motion Vectors.- Semantic Event Detection in Sports Through Motion Understanding.- Structuring Soccer Video Based on Audio Classification and Segmentation Using Hidden Markov Model.- EDU: A Model of Video Summarization.- A News Video Mining Method Based on Statistical Analysis and Visualization.- Topic Threading for Structuring a Large-Scale News Video Archive.- What’s News, What’s Not? Associating News Videos with Words.- Visual Clustering of Trademarks Using a Component-Based Matching Framework.- Assessing Scene Structuring in Consumer Videos.- A Visual Model Approach for Parsing Colonoscopy Videos.- Video Summarization and Retrieval System Using Face Recognition and MPEG-7 Descriptors.- Automatic Generation of Personalized Digest Based on Context Flow and Distinctive Events.- Content-Based Image Retrieval and Characterization on Specific Web Collections.- Exploiting Problem Domain Knowledge for Accurate Building ImageClassification.- Natural Scene Retrieval Based on a Semantic Modeling Step.- Unsupervised Text Segmentation Using Color and Wavelet Features.- Universal and Personalized Access to Content via J2ME Terminals in the DYMAS System.- Task-Based User Evaluation of Content-Based Image Database Browsing Systems.- The CLEF Cross Language Image Retrieval Track (ImageCLEF) 2004.- An Empirical Investigation of the Scalability of a Multiple Viewpoint CBIR System.- Real-Time Video Indexing System for Live Digital Broadcast TV Programs.- Person and Event Identification for Retrieval.- Finding Person X: Correlating Names with Visual Appearances.- A Framework for Semantic Classification of Scenes Using Finite State Machines.- Automated Person Identification in Video.- Content-Based Image and Video Retrieval (I).- Content Based Image Synthesis.- Interactive Content-Based Retrieval Using Pre-computed Object-Object Similarities.- Content-Based Image and Video Retrieval (II).- Salient Regions for Query by Image Content.- Evaluation of Texture Features for Content-Based Image Retrieval.- An Effective Approach Towards Content-Based Image Retrieval.- Image and Video Retrieval Algorithms (II).- Multimedia Retrieval Using Multiple Examples.- A Discussion of Nonlinear Variants of Biased Discriminants for Interactive Image Retrieval.- Poster Session (II).- Salient Objects: Semantic Building Blocks for Image Concept Interpretation.- Multimodal Salient Objects: General Building Blocks of Semantic Video Concepts.- Video Content Representation as Salient Regions of Activity.- Image Classification into Object / Non-object Classes.- Video Segmentation Using Hidden Markov Model with Multimodal Features.- Feature Based Cut Detection with Automatic Threshold Selection.- A Geometrical Key-Frame Selection Method Exploiting Dominant Motion Estimation in Video.- Extraction of Salient Features for Image Retrieval Using Multi-scale Image Relevance Function.- Relevance Feedback for Keyword and Visual Feature-Based Image Retrieval.- Relevance Feedback Reinforced with Semantics Accumulation.- Faster Exact Histogram Intersection on Large Data Collections Using Inverted VA-Files.- A Graph Edit Distance Based on Node Merging.- STRICT: An Image Retrieval Platform for Queries Based on Regional Content.- Improved Video Content Indexing by Multiple Latent Semantic Analysis.- Three Interfaces for Content-Based Access to Image Collections.- Retrieving ClipArt Images by Content.- Use of Image Subset Features in Image Retrieval with Self-Organizing Maps.- An Indexing Model of Remote Sensing Images.- Ambient Intelligence Through Image Retrieval.- A Knowledge Management System for Intelligent Retrieval of Geo-Spatial Imagery.- An Adaptive Image Content Representation and Segmentation Approach to Automatic Image Annotation.- Knowledge Assisted Analysis and Categorization for Semantic Video Retrieval.- Content-Based Image and Video Retrieval (III).- Using Structure for Video Object Retrieval.- Object Segmentation and Ontologies for MPEG-2 Video Indexing and Retrieval.- Interoperability Support for Ontology-Based Video Retrieval Applications.- EU Project Session (I).- A Test-Bed for Region-Based Image Retrieval Using Multiple Segmentation Algorithms and the MPEG-7 eXperimentation Model: The Schema Reference System.- ICBR – Multimedia Management System for Intelligent Content Based Retrieval.- Contribution of NLP to the Content Indexing of Multimedia Documents.- The CIMWOS Multimedia Indexing System.- User Perspectives.- Image Retrieval Interfaces: A User Perspective.- EU Project Session(II).- SCULPTEUR: Multimedia Retrieval for Museums.- Disclosure of Non-scripted Video Content: InDiCo and M4/AMI.- A User-Centred System for End-to-End Secure Multimedia Content Delivery: From Content Annotation to Consumer Consumption.- Adding Semantics to Audiovisual Content: The FAETHON Project.- Towards a Large Scale Concept Ontology for Broadcast Video.

Caracteristici

Includes supplementary material: sn.pub/extras