Title: REGION-BASED IMAGE RETRIEVAL WITH RELEVANCE FEEDBACK
Abstract:Region-based image retrieval (RBIR), a special type of content based image retrieval (CBIR), is an important research. This paper presents integration of RBIR with relevance feedback (RF) to enhance t...Region-based image retrieval (RBIR), a special type of content based image retrieval (CBIR), is an important research. This paper presents integration of RBIR with relevance feedback (RF) to enhance the performance of CBIR. Watershed algorithm is used to extract regions but not all regions are with the same importance. So, a region-weighting scheme reflecting the process of human visual perception is proposed. By using relevance feedback method, the matching process could improve retrieval performance interactively and allow progressive refinement of query results according to the user's feedback action.Read More
Publication Year: 2012
Publication Date: 2012-05-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 1
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Title: $REGION-BASED IMAGE RETRIEVAL WITH RELEVANCE FEEDBACK
Abstract: Region-based image retrieval (RBIR), a special type of content based image retrieval (CBIR), is an important research. This paper presents integration of RBIR with relevance feedback (RF) to enhance the performance of CBIR. Watershed algorithm is used to extract regions but not all regions are with the same importance. So, a region-weighting scheme reflecting the process of human visual perception is proposed. By using relevance feedback method, the matching process could improve retrieval performance interactively and allow progressive refinement of query results according to the user's feedback action.