Hong Kong Applied Science and Technology Research Institute Company, Limited

Sung Ho Cheung

Yi Ping Tse

Zheng Long Li

Chun Ming Chan

A visual content search and retrieval platform comprising an object detection model, a coarse-grained image classification model, and a selection of fine-grained image classification models. During inference, the object detection model locates and extracts a query object in a query image; the coarse-grained image classification model classifies the query object's meta-category; the fine-grained image classification model trained and optimized for the meta-category of the query object is selected; and the selected fine-grained image classification model searches and retrieves from an image database images of objects most similar to the query object. The fine-grained image classification model is implemented by a multi-focus fine-grained image search and retrieval apparatus comprising a class learning module learned to generate the query object's overall appearance query features; a local description module learned to generate the query object's local details query features; an outline description module learned to generate the query object's outline query features.

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Hong Kong, China

Sung Ho Cheung