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- W2079723190 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." @default.
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- W2079723190 date "2008-01-13" @default.
- W2079723190 modified "2023-09-26" @default.
- W2079723190 title "Temporal semantic compression for video browsing" @default.
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- W2079723190 doi "https://doi.org/10.1145/1378773.1378813" @default.
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