Automatic Image Content Annotation


This project is to attach meaningful labels to images by investigating novel machine learning techniques to facilitate visual information management.


Professor David Feng, Dr Zhiyong Wang

Research Location

Computer Science

Program Type



Digital imagery has significantly expanded its horizon in many domains such as in personal/scientific domains, which demands effective and efficient management of digital images in terms of their true contents. It is difficult to obtain the description of image content manually as a picture is worth a thousand words. It is even more difficult for large scale repositories. Automatic image content annotation is to generate objective and consistent description of image content while achieving significant time and cost efficiencies. Such a technique will facilitate visual data management such as next generation database in various domains including personal digital assets, entertainment, and scientific research as well as with search engines.

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Computer Applications, Life and medical sciences, Image processing, Image annotation, Image understanding, Image retrieval, Machine learning

Opportunity ID

The opportunity ID for this research opportunity is: 317

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