Intelligent Access to Digital TV Content

Summary

This project is to bring intelligent and convenient tools to enable the maximum content utilization of Digital TV.

Supervisor(s)

Professor David Feng, Dr Zhiyong Wang

Research Location

Information Technologies

Program Type

N/A

Synopsis

It is anticipated that Digital TV will be the ultimate gateway of information consumption in the near future due to the convergence of TV, computer, and the Internet. In order to avoid being overloaded by rich media contents, users demand novel techniques to efficiently meet their information needs. Rich media enables us to better analyze the digital contents by accounting for its multi-modal information.This project aims to investigate and develop techniques for Digital TV content analysis including classification (e.g. TV commercials), retrieval, story segmentation, scene discovery, event tracking, and trend detection.

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Keywords

Computer Applications, Life and medical sciences, Digital TV, TV news, Multimedia content analysis, Story segmentation, Event detection, TV search, Object detection

Opportunity ID

The opportunity ID for this research opportunity is: 324

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