To construct optimal training set for video annotation

Abstract

This paper exploits the criteria to optimize the training set construction for video annotation. Most existing learning-based semantic annotation approaches require a large training set to achieve good generalization capacity, in which a considerable amount of labor-intensively manual labeling is desirable. However, it is observed that the generalization… (More)
DOI: 10.1145/1180639.1180667

Topics

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