DocumentCode :
1471820
Title :
Integrating Visual Saliency and Consistency for Re-Ranking Image Search Results
Author :
Huang, Jun ; Yang, Xiaokang ; Fang, Xiangzhong ; Lin, Weiyao ; Zhang, Rui
Author_Institution :
Shanghai Key Lab. of Digital Media Process. & Transm., Shanghai Jiao Tong Univ., Shanghai, China
Volume :
13
Issue :
4
fYear :
2011
Firstpage :
653
Lastpage :
661
Abstract :
In this paper, we propose a new algorithm for image re-ranking in web image search applications. The proposed method focuses on investigating the following two mechanisms: 1) Visual consistency. In most web image search cases, the images that closely related to the search query are visually similar. These visually consistent images which occur most frequently in the first few web pages will be given higher ranks. 2) Visual saliency. From visual aspect, it is obvious that salient images would be easier to catch users´ eyes, and it is observed that these visually salient images in the front pages are often relevant to the user´s query. By integrating the above two mechanisms, our method can efficiently re-rank the images from search engines and obtain a more satisfactory search result. Experimental results on a real-world web image dataset demonstrate that our approach can effectively improve the performance of image retrieval.
Keywords :
Internet; image retrieval; query processing; search engines; Web image search; image retrieval; image search result re-ranking; real-world Web image dataset; search engines; visual consistency; visual saliency; Equations; Feature extraction; Image color analysis; Image edge detection; Mathematical model; Search engines; Visualization; Random walk; re-ranking; visual consistency; visual saliency;
fLanguage :
English
Journal_Title :
Multimedia, IEEE Transactions on
Publisher :
ieee
ISSN :
1520-9210
Type :
jour
DOI :
10.1109/TMM.2011.2127463
Filename :
5730497
Link To Document :
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