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Semantic Multimedia Information Retrieval


This project is to devise novel approaches for multimedia information retrieval to further advance the capabilities of visual information search.


Professor David Feng, Dr Zhiyong Wang.

Research location

Computer Science

Program type



Most content-based multimedia information retrieval systems rely on similarity measurements (e.g. Euclidean distance) based on low level features (e.g., color and tecture). Recently, in multimedia information research area, focus has significantly shifted towards extracting multimedia semantics. Therefore, new approaches to multimedia information retrieval are required to meet these new developments.This project is to develop multimedia information retrieval approaches by accounting for the semantic representation of multimedia data as well as visualization techniques for better interface design of multimedia information retrieval systems.

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Opportunity ID

The opportunity ID for this research opportunity is 325

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