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.
Enabling on-the-fly video shot detection on YouTube
WWW 2012, 21st International World Wide Web Conference Developer's Track, April 16-20, 2012, Lyon, France
© ACM, 2012. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in WWW 2012, 21st International World Wide Web Conference Developer's Track, April 16-20, 2012, Lyon, France
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