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22nd International Conference on Distributed Computing Systems Workshops (ICDCSW '02)
Scene Context Dependent Key Frame Selection In Streaming
Vienna, Austria
July 02-July 05
ISBN: 0-7695-1588-6
Anthony G. Nguyen, The Boeing Company
Jenq-Neng Hwang, University of Washington
In this paper, we will describe the development of our Scene Context Dependent Key Frame Selection method to reduce the amount of recording video data. We propose the use of motion analysis (MA) to adapt to scene content in our Key Frame Selection Process. Based on the information generated by the motion analysis stage, frames in the video sequence which contain significant motion information will be selected to retain for recording. We also show that our proposed method performs better than traditional time-lapse recording method.
Citation:
Anthony G. Nguyen, Jenq-Neng Hwang, "Scene Context Dependent Key Frame Selection In Streaming," icdcsw, pp.208, 22nd International Conference on Distributed Computing Systems Workshops (ICDCSW '02), 2002
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