1998
@inproceedings{ZSV1998,
vgclass = {refpap},
author = {Wensheng Zhou and Ye Shen and Asha Vellaikal and C.-C. Jay
Kuo},
title = {On-line Scene Change Detection of Multicast ({MBone})
Video},
editor = {C.-C. Jay Kuo and Shih-Fu Chang and Sethuraman
Panchanathan},
booktitle = {Multimedia Storage and Archiving Systems III (VV02)},
address = {Boston, Massachusetts, USA},
volume = {3527},
series = {SPIE Proceedings},
pages = {271--282},
month = {November},
year = {1998},
note = {(SPIE Symposium on Voice, Video and Data Communications)},
abstract = {Many multimedia applications, such as multimedia data
management systems and communication systems, require efficient
representation of multimedia content. Thus semantic interpretation of
video content has been a popular research area. Currently, most
content-based video representation involves the segmentation of video
based on key frames which are generated using scene change detection
techniques as well as camera/object motion. Then, video features can be
extracted from key frames. However most of such research performs
off-line video processing in which the whole video scope is known as
\emph{a priori} which allows multiple scans of the stored video files
during video processing. In comparison, relatively not much research
has been done in the area of on-line video processing, which is crucial
in video communication applications such as on-line collaboration, news
broadcasts and so on. Our research investigates on-line real-time scene
change detection of multicast video over the Internet. Our on-line
processing system are designed to meet the requirements of real-time
video multicasting over the Internet and to utilize the successful
video parsing techniques available today. The proposed algorithms
extract key frames from video bitstreams sent through the MBone network
and the extracted key frames are multicasted as annotations or metadata
over a separate channel to assist in content filtering such as those
anticipated to be in use by on-line filtering proxies in the Internet.
The performance of the proposed algorithms are demonstrated and
discussed in this paper.},
}