Title :
A Unified Estimation-Theoretic Framework for Error-Resilient Scalable Video Coding
Author :
Han, Jingning ; Melkote, Vinay ; Rose, Kenneth
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, Santa Barbara, CA, USA
Abstract :
A novel scalable video coding (SVC) scheme is proposed for video transmission over loss networks, which builds on an estimation-theoretic (ET) framework for optimal prediction and error concealment, given all available information from both the current base layer and prior enhancement layer frames. It incorporates a recursive end-to-end distortion estimation technique, namely, the spectral coefficient-wise optimal recursive estimate (SCORE), which accounts for all ET operations and tracks the first and second moments of decoder reconstructed transform coefficients. The overall framework enables optimization of ET-SVC systems for transmission over lossy networks, while accounting for all relevant conditions including the effects of quantization, channel loss, concealment, and error propagation. It thus resolves longstanding difficulties in combining truly optimal prediction and concealment with optimal end-to-end distortion and error-resilient SVC coding decisions. Experiments demonstrate that the proposed scheme offers substantial performance gains over existing error-resilient SVC systems, under a wide range of packet loss and bit rates.
Keywords :
image enhancement; image reconstruction; quantisation (signal); recursive estimation; video coding; ET framework; ET-SVC systems; SCORE; SVC scheme; channel loss; current base layer; decoder reconstructed transform coefficients; error concealment; error propagation; error-resilient SVC coding decisions; error-resilient scalable video coding; loss networks; packet loss; prior enhancement layer frames; quantization effect; recursive end-to-end distortion estimation technique; spectral coefficient-wise optimal recursive estimate; unified estimation-theoretic framework; video transmission; Decoding; Encoding; Quantization; Static VAr compensators; Transforms; Scalable video coding; end-to-end distortion; error concealment; error resilience;
Conference_Titel :
Multimedia and Expo (ICME), 2012 IEEE International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-1659-0
DOI :
10.1109/ICME.2012.76