SMART: an efficient, scalable, and robust streaming video system

  • Authors:

  • Feng Wu;Honghui Sun;Guobin Shen;Shipeng Li;Ya-Qin Zhang;Bruce Lin;Ming-Chieh Lee

  • Affiliations:

  • Microsoft Research Asia, 3F Sigma Center, Haidian, Beijing, China;Microsoft Research Asia, 3F Sigma Center, Haidian, Beijing, China;Microsoft Research Asia, 3F Sigma Center, Haidian, Beijing, China;Microsoft Research Asia, 3F Sigma Center, Haidian, Beijing, China;Microsoft Research Asia, 3F Sigma Center, Haidian, Beijing, China;Microsoft Corporation, Redmond, WA;Microsoft Corporation, Redmond, WA

  • Venue:
  • EURASIP Journal on Applied Signal Processing
  • Year:
  • 2004

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Abstract

SMART, the acronym of scalable media adaptation and robust transport, is a suite of compression and transmission technologies for efficient, scalable, adaptive, and robust video streaming over the best-effort Internet. It consists of two indispensable parts: SMART video coding and SMART video streaming. The SMART video coding part is an efficient DCT-based universal fine granularity scalable coding scheme. Since the SMART video coding scheme adopts multiple-loop prediction and drifting reduction techniques at the macroblock level, it can achieve high coding efficiency at a wide range of bit rates. More importantly, it provides all sorts of scalabilities, that is, quality, temporal, spatial, and complexity scalabilities, in order to accommodate heterogeneous time-variant networks and different devices. The SMART video streaming part is a transport scheme that fully takes advantages of the special features of the scalable bitstreams. An accurate bandwidth estimation method is first discussed as the prerequisite of network adaptation. Then, flexible error resilience technique and unequal error protection strategy are investigated to enhance the robustness of streaming SMART bitstream. The SMART system shows excellent performances with regard to high coding efficiency, flexible channel bandwidth adaptation, smooth playback, and superior error robustness in static and dynamic experiments.