文章基本信息

标题：Survey on Web Image Re-Ranking Using Query Specific Semantic Signatures
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作者：Prashanthi Mummadi ; D. Baswaraj ; Dr. M Janga Reddy 等
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2015
卷号：24
期号：3
页码：98-101
DOI：10.14445/22312803/IJCTT-V24P122
出版社：Seventh Sense Research Group
摘要：Image reranking, as an effective way to improve the results of webscale image search, has been adopted by current search engines such as Bing and Google. These engines mostly based on text features, attributes and limited to user search by keywords which leads to ambiguity among images. The retrieved images are yield noisy results. Web Image ReRanking is an evolving concept which helps users to get hold of the large amount of online visual information. Numerous researches have been carried on this Semantic based Web Images. In this paper, we presents a survey on various Web Image ReRanking techniques and contributions in the current decade related to the Web Image Re Ranking. In addition to survey on various techniques, it gives a path to future research enhancement in SemanticBased Image Ranking of Images.
关键词：Re-Ranking; Semantic signatures.