Image and Video Retrieval
Peter Enser
Sold by buchversandmimpf2000, Emtmannsberg, BAYE, Germany
AbeBooks Seller since January 23, 2017
New - Soft cover
Condition: New
Ships from Germany to U.S.A.
Quantity: 1 available
Add to basketSold by buchversandmimpf2000, Emtmannsberg, BAYE, Germany
AbeBooks Seller since January 23, 2017
Condition: New
Quantity: 1 available
Add to basketThis item is printed on demand - Print on Demand Titel. Neuware -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.
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