Semantic Content-Based Retrieval for Video Documents

Semantic Content-Based Retrieval for Video Documents

Lilac Al-Safadi (King Saud University, Saudi Arabia) and Janusz Getta (University of Wollongong, Australia)
Copyright: © 2002 |Pages: 47
DOI: 10.4018/978-1-931777-07-0.ch004
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Abstract

The advancement of multimedia technologies has enabled electronic processing of information to be recorded in formats that are different from the standard text format. These include image, audio and video formats. The video format is a rich and expressive form of media used in many areas of our everyday life, such as in education, medicine and engineering. The expressiveness of video documents is the main reason for their domination in future information systems. Therefore, effective and efficient access to video information that supports video-based applications has become a critical research area. This has led to the development of, for example, new digitizing and compression tools and technology, video data models and query languages, video data management systems and video analyzers. With applications of a vast amount of stored video data, such as news archives and digital television, video retrieval became, and still is, an active area of research.

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