Sorted label classifier chains for learning images with multi-label
Proceedings of the international conference on Multimedia
Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search
International Journal of Computer Vision
Efficient image annotation for automatic sentence generation
Proceedings of the 20th ACM international conference on Multimedia
Efficient optimization for low-rank integrated bilinear classifiers
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
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What constitutes a scene? Defining a meaningful vocabulary for scene discovery is a challenging problem that has important consequences for object recognition. We consider scenes to depict correlated objects and present visual similarity. We introduce a max-margin factorization model that finds a low dimensional subspace with high discriminative power for correlated annotations. We postulate this space should allow us to discover a large number of scenes in unsupervised data; we show scene discrimination results on par with supervised approaches. This model also produces state of the art word prediction results including good annotation completion.