Heterogeneous Visual Features Fusion via Sparse Multimodal Machine

CVPR 2013 Hua WangFeiping NieHeng HuangChris Ding

To better understand, search, and classify image and video information, many visual feature descriptors have been proposed to describe elementary visual characteristics, such as the shape, the color, the texture, etc. How to integrate these heterogeneous visual features and identify the important ones from them for specific vision tasks has become an increasingly critical problem... (read more)

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