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Temporal semantic compression for video browsing

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Authors
Adams, Brett
Greenhill, Stewart
Venkatesh, Svetha
Date
2008
Type
Conference Paper

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Citation
Adams, B. and Greenhill, S. and Venkatesh, S. 2008. Temporal semantic compression for video browsing, in Bradshaw, J. and Lieberman, H. and Staab, S. (ed), International conference on intelligent user interfaces, Jan 13-16 2008, pp. 293-296. Canary Islands, Spain: ACM Press.
Source Title
IUI 2008 Proceedings
Source Conference
International conference on intelligent user interfaces
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Department of Computing
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Abstract

We present a video browsing approach, termed Temporal Semantic Compression (TSC) that uses automated measures of interest to support today's foraging behaviours. Conventional browsers 'compress' a video stream using simple 2x or 8x fast-forward. TSC browsers dynamically filter video based on a single user gesture to leave out more or less of the boring bits. We demonstrate a browser with an example interest measure, derived from an automated estimate of movie tempo, to forage in terms of narrative structures such as crises, climaxes, and action sequence book-ends. Media understanding algorithms facilitate browsing, and interactivity enables the human-in-the-loop to cope when those algorithms fail to cross the semantic gap.