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2010 IEEE International Conference on Acoustics, Speech and Signal Processing
Exponentially growing photo collections motivate the needs for automatic image annotation for effective manipulations (e.g., search, browsing). Most of the prior works rely on supervised learning approaches and are not practical due to poor performance, out-ofvocabulary problem, and being time-consuming in acquiring training data and learning. In this work, we argue automatic image annotation by search over user-contributed photo sites (e.g., Flickr), which have accumulated rich human knowledgedoi:10.1109/icassp.2010.5496215 fatcat:6ysc67uoejgx3i4bdosuuoztlu