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Semantic context learning with large-scale weakly-labeled image set
2012
Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12
There are a large number of images available on the web; meanwhile, only a subset of web images can be labeled by professionals because manual annotation is time-consuming and labor-intensive. Although we can now use the collaborative image tagging system, e.g., Flickr, to get a lot of tagged images provided by Internet users, these labels may be incorrect or incomplete. Furthermore, semantics richness requires more than one label to describe one image in real applications, and multiple labels
doi:10.1145/2396761.2398532
dblp:conf/cikm/LuZZX12
fatcat:vivhicveuvccrdjruj5y3mkrau