2006 IEEE International Conference on Multimedia and Expo
Rate-Distortion Optimized Video Streaming for Scalable H.264
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
Sangho Yoon, Information Systems Lab., Department of Electrical Engineering, Stanford University. holyoon@stanford.edu
Mark Mao, Information Systems Lab., Department of Electrical Engineering, Stanford University. markmao@stanford.edu
Mark Kalman, Information Systems Lab., Department of Electrical Engineering, Stanford University. mkalman@stanford.edu
We propose a new real-time packet scheduling algorithm for streaming scalable H. 264. Our algorithm makes use of a packet importance measure, which we define, that takes into consideration transmission history, channel conditions, and the unique decoding dependencies due to the temporal wavelet encoding. Our algorithm utilizes this importance measure to minimize the expected reconstruction distortion at the decoder under a certain rate constraint. In our experimental results we show gains of more than 3 dB in decoded video quality when transmissions are controlled with our algorithm as compared to existing schedulers.
Citation:
Sangho Yoon, Mark Mao, Mark Kalman, "Rate-Distortion Optimized Video Streaming for Scalable H.264," icme, pp.2157-2160, 2006 IEEE International Conference on Multimedia and Expo, 2006
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