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International Journal of Scientific Development and Research - IJSDR
(An International Open Access Journal)
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2455-2631


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Paper Title: ATTRIBUTE BASED WEB IMAGE SEARCH RERANKING MODEL
Authors Name: P. Manikanta , A. Divya
Unique Id: IJSDR1612007
Published In: Volume 1 Issue 12, December-2016
Abstract: Image searching on web is very popular now days for getting intended images. People generally use available and popular search engines like Google search engines, Bing search, and Yahoo search engine. This popular search engines have common method i.e. Text based Retrieval. The noisy or irrelevant images may be present in the retrieved results. Image search re ranking is an effective approach to refine the text-based image search result. Exploit semantic attributes for image search Re ranking. Based on the classifiers for all the predefined attributes, each image is represented by an attribute feature consisting of the responses from these classifiers. A hypergraph is then used to model the relationship between images by integrating low-level visual features and attribute features. Hypergraph ranking is then performed to order the images. . Its basic principle is that visually similar images should have similar ranking scores. This modeling connection among more close samples will be able to Domain the robust semantic similarity and thus accelerate the great ranking performance.
Keywords: Search, hypergraph, attribute-assiisted
Cite Article: "ATTRIBUTE BASED WEB IMAGE SEARCH RERANKING MODEL", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 12, page no.30 - 34, December-2016, Available :http://www.ijsdr.org/papers/IJSDR1612007.pdf
Downloads: 00016028
Publication Details: Published Paper ID: IJSDR1612007
Registration ID:160965
Published In: Volume 1 Issue 12, December-2016
DOI (Digital Object Identifier):
Page No: 30 - 34
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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