Abstract
The objective of this paper is to highlight our attempt in to search video content based on transcript text, metadata, SVG objects, etc.. Scalable Vector Graphics (SVG) components extracted from video frames can be used for multiple purposes, in addition to shape-based search of video frames. It is also proposed to integrate text and SVG data along with video data as a searchable component.
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IDLVideoSearch Program developed in Java environment: For details visit URL: http://www.ncbi.org.in/cili/video.htm
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© 2002 Springer-Verlag Berlin Heidelberg
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Karthikeyan, M., Uzagare, D., Krishnan, S., Yang, M., Marchionini, G. (2002). Searching Video Segments through Transcript, Metadata, and SVG Objects. In: Lim, E.P., et al. Digital Libraries: People, Knowledge, and Technology. ICADL 2002. Lecture Notes in Computer Science, vol 2555. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36227-4_72
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DOI: https://doi.org/10.1007/3-540-36227-4_72
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