Developing power tools for video indexing and retrieval

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Abstract
Computer-assisted content-based indexing is a critical enabling technology and currently a bottleneck in productive use of video resources. This paper presents the Video Classification Project, an effort toward automating content-based video indexing and retrieval, at the Institute of Systems Science of the National University of Singapore. We discuss in detail three goals of the project: image processing tools for video parsing, feature extraction and retrieval; a knowledge-based approach to representing video content; and stratified tools which allow greater flexibility in browsing a video resource, either before or after performing specific retrieval operations.

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