EFFECTIVE BROWSING OF IMAGE SEARCH RESULTS VIA DIVERSIFIED VISUAL SUMMARIZATION BY CLUSTERING

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ALAMDAR FATEMEH SADAT; KEYVANPOUR MOHAMMADREZA

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Journal: SIGNAL AND DATA PROCESSING Year:2011 | Volume:- | Issue:2 (SERIAL 16) Page(s): 57-74

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Title

EFFECTIVE BROWSING OF IMAGE SEARCH RESULTS VIA DIVERSIFIED VISUAL SUMMARIZATION BY CLUSTERING

Author(s)

ALAMDAR FATEMEH SADAT | KEYVANPOUR MOHAMMADREZA | Issue Writer Certificate

Keywords

IMAGE CLUSTERINGQ3

FOLDING ALGORITHMQ3

FEATURE EXTRACTIONQ2

VISUAL DIVERSITYQ3

EFFECTIVE BROWSINGQ3

IMAGE SEARCH ENGINEQ3

Abstract

With unprecedented growth in production of digital images and use of multimedia references, requirement of image and subject search has been increased. Systematic processing of this information is a basic prerequisite for effective analysis, organization and management of it. Likewise, large collections of images have been made available on the Web and many search engines have provided the possibility of Web image searching based on keywords. For finding the image according to desire and requirement of user by IMAGE SEARCH ENGINE, there are some problems as inexpressiveness of queries in description of user requirement, large number of unrelated images to the intended search, lacking of summarization, time consuming review of overall images, lack of diversity. Clustering of image search results can be an efficient solution for solving of these problems.In this research, several algorithms have been proposed for clustering of image search results. The developed summarization allows user to browse images conveniently and to get the overall content of the all returned images in a short time and by a few simple clicks. Through clustering, a diversified set of images presented that reflecting multiple senses of the query and the formed clusters represent visually diverse as well as diverse of ambiguity. According to the experiences, this proposed method improves the acceptable precision of IMAGE CLUSTERING.

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APA: Copy

ALAMDAR, FATEMEH SADAT, & KEYVANPOUR, MOHAMMADREZA. (2011). EFFECTIVE BROWSING OF IMAGE SEARCH RESULTS VIA DIVERSIFIED VISUAL SUMMARIZATION BY CLUSTERING. SIGNAL AND DATA PROCESSING, -(2 (SERIAL 16)), 57-74. SID. https://sid.ir/paper/160685/en

Vancouver: Copy

ALAMDAR FATEMEH SADAT, KEYVANPOUR MOHAMMADREZA. EFFECTIVE BROWSING OF IMAGE SEARCH RESULTS VIA DIVERSIFIED VISUAL SUMMARIZATION BY CLUSTERING. SIGNAL AND DATA PROCESSING[Internet]. 2011;-(2 (SERIAL 16)):57-74. Available from: https://sid.ir/paper/160685/en

IEEE: Copy

FATEMEH SADAT ALAMDAR, and MOHAMMADREZA KEYVANPOUR, “EFFECTIVE BROWSING OF IMAGE SEARCH RESULTS VIA DIVERSIFIED VISUAL SUMMARIZATION BY CLUSTERING,” SIGNAL AND DATA PROCESSING, vol. -, no. 2 (SERIAL 16), pp. 57–74, 2011, [Online]. Available: https://sid.ir/paper/160685/en

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