In packet networks including the Internet and commercial 3G wireless bearers, network conditions that a streaming application experiences are not known a priori and exhibit time-varying characteristics. For such environments, network-adaptive techniques are important to efficiently stream video. In this paper, we propose an adaptive packet scheduling algorithm for streaming video over error-prone networks. A MAP (Maximum A Posteriori) framework is incorporated for adapting to time-varying network loss rate. By MAP-based dynamic network estimation, the proposed scheduler adaptively performs video packet transmissions over time-varying networks. Also, packet transmission schedules are optimally determined in a distortion-optimized way. For low computational complexity, the proposed packet scheduling algorithm is based on a new and simple distortion measure which is referred to the EFS (Expected Frame-rate Reduction). Simulation results for standard video sequence show that the proposed scheduling outperforms conventional ARQ-based schemes from a view point of frame loss rate and reconstructed video quality. In particular, the proposed scheduling algorithm shows significant improvement over highly lossy channel.
|Number of pages||6|
|Journal||Proceedings - International Conference on Computer Communications and Networks, ICCCN|
|Publication status||Published - 2004|
|Event||Proceedings - 13th International Conference on Computer Communications and Networks, ICCCN 2004 - Chicago, IL, United States|
Duration: 2004 Oct 11 → 2004 Oct 13
ASJC Scopus subject areas
- Computer Science(all)