Feature Based Digital Video Indexing

Indexing video data is essential for providing content based access. Indexing has typically been viewed either from a manual annotation perspective or from an image sequence processing perspective. This work proposes a methodology for designing video indexing schemes which use low level machine derivable indices to map into the set of application specific desired video indices. The indexing procedure uses image sequence processing and application requirements analysis to arrive at the low level and desired indices. The mapping is created based on the domain constraints. A mapping efficacy measure is presented. Experimental results of indexing video using image motion features are presented.

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