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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 Venkatesh
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.

History

Event

International Conference on Intelligent User Interfaces (13th : 2008 : Maspalomas, Gran Canaria)

Pagination

293 - 296

Publisher

ACM

Location

Maspalomas, Gran Canaria

Place of publication

New York, N. Y.

Start date

2008-01-13

End date

2008-01-16

ISBN-13

9781595939876

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2008, ACM

Title of proceedings

IUI'08 : Proceedings of the 13th International Conference on Intelligent User Interfaces

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