Title :
Complexity Scalable Hybrid End-to-End Distortion Estimation for Conversational Video Streaming
Author :
Yang, Hua ; Wei, Xiaohui ; Boyce, Jill M.
Author_Institution :
Thomson Inc., Princeton
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
In conversational video streaming applications, periodic I-frame coding is not allowed due to strict low delay requirement. For this scenario, we propose a novel hybrid paradigm, which takes advantage of both accurate pixel-level estimation and efficient block-level estimation. Specifically, error propagated (EP) distortion from the last N coded frames are exactly calculated per pixel for high accuracy, while EP effect beyond the frame limit N are estimated per macroblock for low complexity. By varying the frame limit, flexible tradeoffs between complexity and performance can be achieved, rendering our scheme especially suitable for wireless video streaming, where stringent power resource is always a challenge. Simulation results justify the effectiveness of the proposed hybrid ED estimation scheme.
Keywords :
rendering (computer graphics); video streaming; block-level estimation; complexity scalable hybrid end-to-end distortion estimation; conversational video streaming; error propagation distortion; pixel-level estimation; rendering; Batteries; Delay; Encoding; Rate-distortion; Resilience; Scalability; Streaming media; System performance; Video coding; Videoconference; complexity scalability; conversational video streaming; end-to-end distortion; error resilience;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379327