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Flickr-tag prediction using multi-modal fusion and meta information
Proceedings of the 21st ACM international conference on Multimedia - MM '13
We present our evaluation and analysis on Yahoo! Largescale Flickr-tag Image Classification dataset. Our evaluations show that combining multi-features and different classification models, the MAP of tag prediction can be significantly improve over ordinary linear classification. Further analysis shows that some tags are given not because of the visual content but the meta information of images. Our experiments show that we can make more accurate prediction on certain tags using metadoi:10.1145/2502081.2508117 dblp:conf/mm/SuCWYWH13 fatcat:5lsngzlwnjeknnv5ujkao3vtdy