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Boosting image retrieval through aggregating search results based on visual annotations
Proceeding of the 16th ACM international conference on Multimedia - MM '08
Online photo sharing systems, such as Flickr and Picasa, provide a valuable source of human-annotated photos. Textual annotations are used not only to describe the visual content of an image, but also subjective, spatial, temporal and social dimensions, complicating the task of keywordbased search. In this paper we investigate a method that exploits visual annotations, e.g. notes in Flickr, to enhance keyword-based systems retrieval performance. For this purpose we adopt the bag-of-visual-wordsdoi:10.1145/1459359.1459386 dblp:conf/mm/OlivaresCZ08 fatcat:5ehhsdbdlbfwvaq4bn6z3ruzqm