Augmenting Image Re-Ranking Using Semantic Signatures
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Abstract
Nowadays, Image re-ranking, as an effective way to improve the results of web-based image search. In this paper, a new technique is proposed for web-scale image re-ranking. The mentioned technique is very useful in giving specific results to users in just one click. In this, different semantic spaces for different query keywords can be found offline independently and automatically. Semantic signatures of the images are acquired by projecting their visual features into their related semantic spaces and these semantic signatures are compacted using Hashing techniques At the online stage, images are reranked by comparing their semantic signatures obtained from the visual semantic space specified by the query keyword.
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