Titlebook: Image and Video Retrieval; Second International Erwin M. Bakker,Michael S. Lew,Xiang Sean Zhou Conference proceedings 2003 Springer-Verlag

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Multilevel Relevance Judgment, Loss Function, and Performance Measure in Image Retrievalvance is too coarse. To better identify the user needs and preference, a good retrieval system should be able to handle multilevel relevance judgement. In this paper, we focus on relevance feedback with multilevel relevance judgment. We consider relevance feedback as an ordinal regression problem, a

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Majority Based Ranking Approach in Web Image Retrievales has been expected. Conventional systems for web image retrieval are based on keyword- based retrieval. However, we often find undesirable retrieval results from the keyword based web image retrieval system since the system uses the limited and inaccurate text information of web images; a typical

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Content-Based Retrieval of Historical Watermark Images: II - Electron Radiographsaluation of SHREW, a shape-matching system for watermark images based on techniques developed for the ARTISAN trademark retrieval system. It also compares the effectiveness of different image preprocessing techniques required to enable the system to cope with electron radiographs of watermark images

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