Video streaming over the internet with optimal bandwidth resource allocation

  • Authors:

  • Hongli Luo;Mei-Ling Shyu;Shu-Ching Chen

  • Affiliations:

  • Department of Electrical and Computer Engineering Technology, Indiana University - Purdue University Fort Wayne, Fort Wayne, USA 46805;Department of Electrical and Computer Engineering, University of Miami, Coral Gables, USA 33124;Distributed Multimedia Information System Laboratory, School of Computing and Information Sciences, Florida International University, Miami, USA 33199

  • Venue:
  • Multimedia Tools and Applications
  • Year:
  • 2008

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Abstract

In this paper, an adaptive framework for video streaming over the Internet is presented. The framework is a joint design of packet scheduling and rate control with optimal bandwidth resource allocation. The transmission rate is dynamically adjusted to obtain maximal utilization of the client buffer and minimal allocation of the bandwidth. Under the constraint of the transmission rate, a prioritized packet scheduling is designed to provide a better visual quality of video frames. The packet scheduling is a refined bandwidth allocation which takes into account of varying importance of the different packets in a compressed video stream. Moreover, the proposed approach is scalable with increasing multimedia flows in the distributed Internet environment. Comparisons are made with the most current streaming approaches to evaluate the performance of the framework using the H.264 video codec. The extensive simulation results show that the average Peak Signal to Noise Ratio (PSNR) increases in our proposed approach. It provides a better quality of the decoded frames, and the quality of the decoded frames changes more smoothly. The achieved video quality among different users also has a lower fluctuation, which indicates a fair sharing of network resources.