Semantic Multimedia Information Retrieval

Summary

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

Supervisor(s)

Professor David Feng, Dr Zhiyong Wang

Research Location

Information Technologies

Program Type

N/A

Synopsis

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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Keywords

Computer Applications, Life and medical sciences, Information retrieval, Machine learning, Visualization, Image annotation, Video annotation, Knowledge discovery

Opportunity ID

The opportunity ID for this research opportunity is: 325

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