Image and Video Retrieval

Third International Conference, CIVR 2004, Dublin, Ireland, July 21-23, 2004. Proceedings

ISBN: 978-3-540-22539-3 (Print) 978-3-540-27814-6 (Online)

Table of contents (78 chapters)

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  1. Front Matter

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  2. Keynote Speaker Abstracts

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      Pages 1-1

      Pattern Mining in Large-Scale Image and Video Sources

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      Pages 2-2

      Computer Vision in the Movies: From the Lab to the Big Screen

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      Pages 3-4

      Image and Video Retrieval Using New Capture and Display Devices

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      Pages 5-5

      Models of Interaction with Video Information

  3. Image Annotation and User Searching

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      Pages 6-14

      User Strategies in Video Retrieval: A Case Study

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      Pages 15-23

      Video Content Foraging

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      Pages 24-32

      Using Maximum Entropy for Automatic Image Annotation

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      Pages 33-41

      Everything Gets Better All the Time, Apart from the Amount of Data

  4. Image and Video Retrieval Algorithms (I)

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      Pages 42-50

      An Inference Network Approach to Image Retrieval

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      Pages 51-59

      Small Sample Size Performance of Evolutionary Algorithms for Adaptive Image Retrieval

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      Pages 60-69

      Co-retrieval: A Boosted Reranking Approach for Video Retrieval

  5. Poster Session (I)

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      Pages 70-78

      HMM Model Selection Issues for Soccer Video

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      Pages 79-87

      Tennis Video Analysis Based on Transformed Motion Vectors

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      Pages 88-97

      Semantic Event Detection in Sports Through Motion Understanding

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      Pages 98-105

      Structuring Soccer Video Based on Audio Classification and Segmentation Using Hidden Markov Model

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      Pages 106-114

      EDU: A Model of Video Summarization

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      Pages 115-122

      A News Video Mining Method Based on Statistical Analysis and Visualization

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      Pages 123-131

      Topic Threading for Structuring a Large-Scale News Video Archive

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      Pages 132-140

      What’s News, What’s Not? Associating News Videos with Words

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      Pages 141-149

      Visual Clustering of Trademarks Using a Component-Based Matching Framework

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