Video segmentation using combined cues

Mark Steven Toller; Paul H. Lewis; Mark S. Nixon

doi:10.1117/12.298450

23 December 1997 Video segmentation using combined cues

Mark Steven Toller, Paul H. Lewis, Mark S. Nixon

Proceedings Volume 3312, Storage and Retrieval for Image and Video Databases VI; (1997) https://doi.org/10.1117/12.298450
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

The use of video data in the multimedia environment is increasing rapidly, and so tools to handle large volumes of video data are required. One of the first steps towards creating more versatile video tools is to segment the video data, i.e. partition it into its component shots. This paper presents a novel combination of algorithms for video segmentation, utilizing histogram comparison, motion vector information (focus of expansion), and edge information to detect transitions between shots. Our method can reliably detect transitions such as camera breaks, fades, dissolves and wipes, in video compressed to the MPEG-I standard.

Citation Download Citation

Mark Steven Toller, Paul H. Lewis, and Mark S. Nixon "Video segmentation using combined cues", Proc. SPIE 3312, Storage and Retrieval for Image and Video Databases VI, (23 December 1997); https://doi.org/10.1117/12.298450

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