Browsing news and talk video on a consumer electronics platform using face detection

Kadir A. Peker; Ajay Divakaran; Tom Lanning

doi:10.1117/12.630953

24 October 2005 Browsing news and talk video on a consumer electronics platform using face detection

Kadir A. Peker, Ajay Divakaran, Tom Lanning

Proceedings Volume 6015, Multimedia Systems and Applications VIII; 601519 (2005) https://doi.org/10.1117/12.630953
Event: Optics East 2005, 2005, Boston, MA, United States

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.

Citation Download Citation

Kadir A. Peker, Ajay Divakaran, and Tom Lanning "Browsing news and talk video on a consumer electronics platform using face detection", Proc. SPIE 6015, Multimedia Systems and Applications VIII, 601519 (24 October 2005); https://doi.org/10.1117/12.630953

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