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Bridging the Semantic Gap Between Image Contents and Tags
2010
IEEE transactions on multimedia
With the exponential growth of Web 2.0 applications, tags have been used extensively to describe the image contents on the Web. Due to the noisy and sparse nature in the human generated tags, how to understand and utilize these tags for image retrieval tasks has become an emerging research direction. As the low-level visual features can provide fruitful information, they are employed to improve the image retrieval results. However, it is challenging to bridge the semantic gap between image
doi:10.1109/tmm.2010.2051360
fatcat:zipoonbsibbd7pcmd7pvbz3mze