Discovering Visual Concept Structure with Sparse and Incomplete Tags

30 May 2017 Jingya Wang Xiatian Zhu Shaogang Gong

Discovering automatically the semantic structure of tagged visual data (e.g. web videos and images) is important for visual data analysis and interpretation, enabling the machine intelligence for effectively processing the fast-growing amount of multi-media data. However, this is non-trivial due to the need for jointly learning underlying correlations between heterogeneous visual and tag data... (read more)

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