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Research Project

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Machine Learning and
Intelligent Agents

Content-Based Information Retrieval and Multimedia Database

Members:

Dr. John Gan

Project Description:

Multimedia information are now widely available in various areas. It becomes cheaper and cheaper to acquire and store multimedia information. However, multimedia retrieval is still a bottleneck. Almost all the multimedia information available from the Internet is still retrieved by matching manually generated annotations. The key issues in this topic include how to automatically extract effective content indexes (feature vectors) from multimedia information and how to match a content query with a huge amount of stored content indexes. We are investigating efficient multimedia indexing structures and effective criteria for content-based similarity search. We are also interested in multimedia database systems.

 

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