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- articleJuly 2012
IntentSearch: Capturing User Intention for One-Click Internet Image Search
IEEE Transactions on Pattern Analysis and Machine Intelligence (ITPM), Volume 34, Issue 7Pages 1342–1353https://doi.org/10.1109/TPAMI.2011.242Web-scale image search engines (e.g., Google image search, Bing image search) mostly rely on surrounding text features. It is difficult for them to interpret users' search intention only by query keywords and this leads to ambiguous and noisy search ...
- short-paperOctober 2008
Real time google and live image search re-ranking
MM '08: Proceedings of the 16th ACM international conference on MultimediaPages 729–732https://doi.org/10.1145/1459359.1459471Nowadays, web-scale image search engines (e.g. Google, Live Image Search) rely almost purely on surrounding text features. This leads to ambiguous and noisy results. We propose to use adaptive visual similarity to re-rank the text-based search results. ...
