DocumentCode :
3275730
Title :
Single-loop SNR scalability using binary residual refinement coding
Author :
Feldmann, Christian ; Jager, Fabian ; Hsu, John ; Wien, Mathias
Author_Institution :
Inst. fur Nachrichtentechnik, RWTH Aachen Univ., Aachen, Germany
fYear :
2013
fDate :
15-18 Sept. 2013
Firstpage :
1583
Lastpage :
1587
Abstract :
In scalable video coding, a stream contains multiple layers of different temporal resolution, spatial resolution, or quality. Each enhancement layer can utilize the information from the lower layers in order to improve the overall coding efficiency. In the draft scalable extension of HEVC the enhancement layer uses the lower layer reconstructed pixel values for prediction. While this dual-loop approach is efficient in terms of rate-distortion performance, it doubles the decoder complexity. In this paper a method is presented that allows for single-loop decoding using a new coefficient refinement scheme for the enhancement layer. The scheme conceptually allows for binary mapping between arbitrary quantizer step sizes in base and enhancement layer. Simulation results reveal a promising rate-distortion performance, especially for small quantizer deltas.
Keywords :
decoding; image enhancement; image reconstruction; image resolution; rate distortion theory; video coding; video streaming; HEVC; arbitrary quantizer step sizes; binary mapping; binary residual refinement coding; coding efficiency; coefficient refinement scheme; decoder complexity; dual-loop approach; image enhancement layer; lower layer reconstructed pixel values; rate-distortion performance; scalable video coding; single-loop SNR scalability; single-loop decoding; small quantizer deltas; spatial resolution; temporal resolution; video streaming; Quantization Mapping; Residual Refinement; SNR Scalability; Scalable Video Coding; Single-loop Decoding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/ICIP.2013.6738326
Filename :
6738326
Link To Document :
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