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Temporal semantic compression for video browsing
conference contribution
posted on 2008-01-01, 00:00 authored by B Adams, Stewart GreenhillStewart Greenhill, Svetha VenkateshSvetha VenkateshWe 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.
History
Event
International Conference on Intelligent User Interfaces (13th : 2008 : Maspalomas, Gran Canaria)Pagination
293 - 296Publisher
ACMLocation
Maspalomas, Gran CanariaPlace of publication
New York, N. Y.Start date
2008-01-13End date
2008-01-16ISBN-13
9781595939876Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2008, ACMTitle of proceedings
IUI'08 : Proceedings of the 13th International Conference on Intelligent User InterfacesUsage metrics
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