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Annotating personal albums via web mining
2008
Proceeding of the 16th ACM international conference on Multimedia - MM '08
Nowadays personal albums are becoming more and more popular due to the explosive growth of digital image capturing devices. An effective automatic annotation system for personal albums is desired for both efficient browsing and search. Existing research on image annotation evolves through two stages: learning-based methods and web-based methods. Learning-based methods attempt to learn classifiers or joint probabilities between images and concepts, which are difficult to handle large-scale
doi:10.1145/1459359.1459421
dblp:conf/mm/JiaYH08
fatcat:rbmqunfgrjbevdgfvypkt3fclm