Conference proceeding
Event-based modeling and processing of digital media
Proceedings of the 1st international workshop on computer vision meets databases, Vol.66, pp.19-26
CVDB '04
06/13/2004
DOI: 10.1145/1039470.1039478
Abstract
Capture, processing, and assimilation of digital media-based information such as video, images, or audio requires a unified framework within which signal processing techniques and data modeling and retrieval approaches can act and interact. In this paper we present the rudiments of such a framework based on the notion of "events". This framework serves the dual roles of a conceptual data model as well as a prescriptive model that defines the requirements for appropriate signal processing. Amongst the key advantages of this framework, lies the fact that it fundamentally brings together the traditionally diverse disciplines of databases and (various areas of) digital signal processing. In addition to the conceptual event-based framework, we present a physical implementation of the event model. Our implementation specifically targets the problem of processing, storage, and querying of multimedia information related to indoor group- oriented activities such as meetings. Such multimedia information may comprise of video, image, audio, and text-based data. We use this application context to illustrate many of the practical challenges that are encountered in this area, our solutions to them, and the open problems that require research across databases, computer vision, audio processing, and multimedia.
Details
- Title: Subtitle
- Event-based modeling and processing of digital media
- Creators
- Rahul Singh - Georgia Institute of TechnologyZhao LiPilho Kim - Georgia Institute of TechnologyDerik Pack - Georgia Institute of TechnologyRamesh Jain - Georgia Institute of Technology
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the 1st international workshop on computer vision meets databases, Vol.66, pp.19-26
- Publisher
- ACM
- Series
- CVDB '04
- DOI
- 10.1145/1039470.1039478
- Language
- English
- Date published
- 06/13/2004
- Academic Unit
- Computer Science
- Record Identifier
- 9984446520002771
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