Interactive Content-Based Image Retrieval Using Relevance Feedback
نویسندگان
چکیده
منابع مشابه
Document Image Retrieval Based on Keyword Spotting Using Relevance Feedback
Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...
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Database search engines are generally used in a one-shot fashion in which a user provides query information to the system and, in return, the system provides a number of database instances to the user. A relevance feedback system allows the user to indicate to the system which of these instances are desirable, or relevant, and which are not. Based on this feedback, the system modifies its retri...
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Content Based Image Retrieval CBIR has become one of the most active research areas in the past few years Many visual feature representations have been explored and many systems built While these research e orts establish the basis of CBIR the usefulness of the proposed approaches is limited Speci cally these e orts have relatively ignored two distinct characteristics of CBIR systems the gap be...
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Relevance feedback is a powerful technique for content-based image retrieval. Many parameter estimation approaches have been proposed for relevance feedback. However, most of them have only utilized information of the relevant retrieved images, and have given up, or have not made great use of information of the irrelevant retrieved images. This paper presents a novel approach to update the inte...
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Content-Based Image Retrieval (CBIR) systems are required to effectively harness information from ubiquitous image collections. Despite intense research efforts by the multidisciplinary CBIR community since early 1990s, apparently there is a mismatch between these advances and the one that is truly required to bring success to CBIR in the commercial market place. In this paper we provide an ove...
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ژورنال
عنوان ژورنال: Computer Vision and Image Understanding
سال: 2002
ISSN: 1077-3142
DOI: 10.1006/cviu.2002.0977