Enabling on-the-fly Video Shot Detection on YouTube

Presented at: 21st International World Wide Web Conference (WWW2012)

by Thomas Steiner, Ruben Verborgh, Joaquim Gabarro, Michael Hausenblas, Raphael Troncy, Rik Van De Walle

Video shot detection is the processor-intensive task of splitting a video into continuous shots, with hard or soft cuts as the boundaries. In this paper, we present a client-side on-the-fly approach to this challenge based on modern HTML5-enabled Web APIs. We show how video shot detection can be seamlessly embedded into video platforms like YouTube using browser extensions. Once a video has been split into shots, shot-based video navigation gets enabled and more fine-grained playing statistics can be created.

Keywords: shot boundary detection, shot detection, video processing

Resource URI on the dog food server: http://data.semanticweb.org/conference/www/2012/dev/28

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