Knowledge Assisted Data Management and Retrieval in Multimedia Database Systems

Document Type

Presentation Abstract

Presentation Date

1-31-2008

Abstract

The proliferation of multimedia data (e.g., graphics, images, animation, video, audio, text, etc.) and ever-increasing demand for multimedia applications signify the pertinent need for efficient and effective multimedia data indexing, storage and retrieval mechanisms. Due to the special characteristics of multimedia data, the Multimedia Database Management Systems (MMDBMSs) have emerged and attracted immense research attention in recent years.

Though many research efforts have been devoted to this area, it is still far from maturity and numerous open issues need to be addressed. In this talk, a systematic and integrated framework is presented, with the focus on two essential challenges in developing the MMDBMS, i.e., semantic gap and data organization. The techniques and methodologies developed for this framework can be applied to many practical application domains. In this talk, video event/concept mining is used as an example to demonstrate the potential of this framework.

Additional Details

Thursday, 31 January 2008
4:10 p.m. in Math 103
3:30 p.m. Refreshments in Math Lounge 109

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