Survey on Web Image Re-Ranking Using Query Specific Semantic Signatures

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-24 Number-3
Year of Publication : 2015
Authors : Prashanthi Mummadi, D. Baswaraj, Dr. M Janga Reddy
  10.14445/22312803/IJCTT-V24P122

MLA

Prashanthi Mummadi, D. Baswaraj, Dr. M Janga Reddy "Survey on Web Image Re-Ranking Using Query Specific Semantic Signatures". International Journal of Computer Trends and Technology (IJCTT) V24(3):98-101, June 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Image re-ranking, as an effective way to improve the results of web-scale 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 Re-Ranking 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 Re-Ranking 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 Semantic-Based Image Ranking of Images.

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Keywords
Re-Ranking, Semantic signatures.