A Study on Web Image Re-Ranking

Mohammadi Aiman, Ruksar Fatima


 Image re-ranking, as an effective way to improve the results of web based image search. This have been adopted by current commercial search engines. The query-specific semantic signature is also striking in this application, where it is crucial to reduce the semantic gap when computing the similarities of images. Due to the ambiguity of query keywords, there may be multiple semantic categories under one keyword query. These approaches cannot absolutely capture user’s search intention without query images selected by users. The visual features of images are projected into their related visual semantic spaces to get their semantic signatures.

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