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Proceedings Paper

Browsing news and talk video on a consumer electronics platform using face detection
Author(s): Kadir A. Peker; Ajay Divakaran; Tom Lanning
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Paper Abstract

We present a consumer video browsing system that enables use of multiple alternative summaries in a simple and effective user interface suitable for consumer electronics platforms. We present a news and talk video segmentation and summary generation technique for this platform. We use face detection on consumer video, and use simple face features such as face count, size, and x-location to classify video segments. More specifically, we cluster 1-face segments using face sizes and x-locations. We observe that different scenes such as anchorperson, outdoor correspondent, weather report, etc. form separate clusters. We then apply temporal morphological filtering on the label streams to obtain alternative summary streams for smooth summaries and effective browsing through stories. We also apply our technique to talk show video to generate separate summaries of monologue segments and guest interviews.

Paper Details

Date Published: 24 October 2005
PDF: 6 pages
Proc. SPIE 6015, Multimedia Systems and Applications VIII, 601519 (24 October 2005); doi: 10.1117/12.630953
Show Author Affiliations
Kadir A. Peker, Mitsubishi Electric Research Labs. (United States)
Ajay Divakaran, Mitsubishi Electric Research Labs. (United States)
Tom Lanning, Mitsubishi Electric Research Labs. (United States)

Published in SPIE Proceedings Vol. 6015:
Multimedia Systems and Applications VIII
Anthony Vetro; Chang Wen Chen; C.-C. J. Kuo; Tong Zhang; Qi Tian; John R. Smith, Editor(s)

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