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Proceedings Paper

Automated video summarization using speech transcripts
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Paper Abstract

Compact representations of video data can enable efficient video browsing. Such representations provide the user with information about the content of the particular sequence being examined while preserving the essential message. We propose a method to automatically generate video summaries for long videos. Our video summarization approach involves mainly two tasks: first, segmenting the video into small, coherent segments and second, ranking the resulting segments. Our proposed algorithm scores segments based on word frequency analysis of speech transcripts. Then a summary is generated by selecting the segments with the highest score to duration ratios and these are concatenating them. We have designed and performed a user study to evaluate the quality of summaries generated. Comparisons are made using our proposed algorithm and a random segment selection scheme based on statistical analysis of the user study results. Finally we discuss various issues that arise in evaluation of automatically generated video summaries.

Paper Details

Date Published: 19 December 2001
PDF: 12 pages
Proc. SPIE 4676, Storage and Retrieval for Media Databases 2002, (19 December 2001); doi: 10.1117/12.451107
Show Author Affiliations
Cuneyt M. Taskiran, Purdue Univ. (United States)
Arnon Amir, IBM Almaden Research Ctr. (United States)
Dulce B. Ponceleon, IBM Almaden Research Ctr. (United States)
Edward J. Delp, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 4676:
Storage and Retrieval for Media Databases 2002
Minerva M. Yeung; Chung-Sheng Li; Rainer W. Lienhart, Editor(s)

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