Chun Ming Chan

Title: Innovations of Chun Ming Chan in Visual Content Search Technology

Introduction

Chun Ming Chan is a notable inventor based in Hong Kong, CN. He has made significant contributions to the field of visual content search technology. His innovative approach has led to the development of a unique platform that enhances the way visual content is searched and retrieved.

Latest Patents

Chun Ming Chan holds a patent for a fine-grained visual content search platform. This platform comprises 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, which is trained and optimized for the meta-category of the query object, is then selected. This selected 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. This apparatus comprises a class learning module, a local description module, and an outline description module, each designed to generate specific query features of the object.

Career Highlights

Chun Ming Chan is currently employed at the Hong Kong Applied Science and Technology Research Institute Company Limited. His work at this esteemed institution has allowed him to further his research and development in visual content search technologies. His innovative contributions have positioned him as a key figure in this field.

Collaborations

Chun Ming Chan has collaborated with notable colleagues such as Zheng Long Li and Yi Ping Tse. These collaborations have fostered a productive environment for innovation and have led to advancements in their shared research interests.

Conclusion

Chun Ming Chan's work in developing a fine-grained visual content search platform showcases his expertise and innovative spirit. His contributions to the field are significant and continue to influence advancements in visual content retrieval technologies.