Intent Search: Survey on Various Methods of Image Re-ranking
Payal P. Thakur , Prof. M. A. Kalyankar
Image re-ranking is an effective way for improving the result of web-based image search. To refine the text-based image search result image search re-ranking is the best approach. In this Paper, we give the different methods of image re-ranking such as Query Specific Semantic Signature, Graph Based Learning, One Click Internet Image Search and Multimodal Sparse Coding For Click Prediction. And then we propose the One Click Internet Image Search, it requires the user to give only one click on a query image and images from a pool retrieved by text based search are re-ranked based on their visual and textual similarities to the query image. Adaptive similarity, Keyword Expansion, Image pool Image, Visual query expansion by using these four steps we have srearch and re-ranked the images.
 Xiaoou Tang, Ke Liu, Jingyu Cui, Fang Wen, and Xiaogang Wang,” Intent Search: Capturing User Intention for One-Click Internet Image Search”, VOL. 34, NO. 7, JULY 2012
 Xiaogang Wang, Shi Qiu, Ke Liu, and Xiaoou Tang, “Web Image Re-Ranking Using Query-Specific Semantic Signatures”, VOL. 36, NO. 4, APRIL 2014
 O. Chum, J. Philbin, J. Sivic, M. Isard, and A. Zisserman, “Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval,” Proc. IEEE Int’l Conf. Computer Vision, 2007.
 Y. Zhang, Z. Jia, and T. Chen, “Image Retrieval with GeometryPreserving Visual Phrases,” Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition, 2011.
 J. Krapac, M. Allan, J. Verbeek, and F. Jurie, “Improving Web Image Search Results Using Query-Relative Classifiers,” Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition, 2010.
 J. Deng, A.C. Berg, and L. Fei-Fei, “Hierarchical Semantic Indexing for Large Scale Image Retrieval,” Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition, 2011.
 B. Luo, X. Wang, and X. Tang, “A World Wide Web Based Image Search Engine Using Text and Image Content Features,” Proc. IS&T/SPIE Electronic Imaging, Internet Imaging IV, 2003.
 Jun Yu, Yong Rui, and Dacheng Tao, “Click Prediction for Web Image Re-ranking Using Multimodal Sparse Coding”, VOL. 23, NO. 5, MAY 2014
[ Payal P. Thakur, Prof. M. A. Kalyankar (2015), Intent Search: Survey on Various Methods of Image Re-ranking, International Journal of Innovative Research in Computer Science & Technology (IJIRCST), Vol-3, Issue-2, Page No-60-63], (ISSN 2347 - 5552). www.ijircst.org
Payal P. Thakur
Department of Comp Sci & Engg, Dr. Sau K.G.I.E.T. Amravati University, Maharashtra, India,