Paper Info
Title
A complexity scalable entropy coding scheme for video compression
Abstract
In hybrid video coding, an entropy coding scheme transmits the quantized transform coefficients, resulting from block-based transformation and quantization of the difference between the prediction signal and the original signal, and additional side information. The state-of-the-art hybrid video coding standard H.264/AVC defines two different entropy coding schemes with different complexity-performance tradeoff. As a result, the support for two different entropy coding schemes has to be maintained and introduces several problems. To overcome these issues, a unified solution is proposed, which is based on the PIPE/V2V coding concept. It achieves the same complexity-performance trade-offs as the existing entropy coding schemes by scalability. The advantage of the proposed scheme over the existing concept is the usage of the same set of tools for all configurations. Simulation results and complexity analysis on hardware show the efficiency of the proposed scheme.
Year
DOI
Venue
2012
10.1109/PCS.2012.6213377
PCS
Keywords
Field
DocType
h.264/avc,block-based transformation,side information,complexity scalable entropy coding,pipe/v2v coding,video compression,quantisation (signal),data compression,hybrid video coding,video coding,quantized transform,prediction signal,entropy codes,decoding,throughput,entropy coding,context modeling
Tunstall coding,Entropy encoding,Coding tree unit,Computer science,Context-adaptive variable-length coding,Theoretical computer science,Sub-band coding,Arithmetic coding,Context-adaptive binary arithmetic coding,Variable-length code
Conference
ISBN
Citations 
PageRank 
978-1-4577-2048-2
0
0.34
References 
Authors
3
9
Name
Order
Citations
PageRank
Tung Nguyen112725.11
Detlev Marpe2869143.26
Benjamin Bross344141.02
Valeri George4154.57
Heiner Kirchhoffer59017.80
Matthias Preiss600.34
Mischa Siekmann79715.49
Jan Stegemann8192.16
Thomas Wiegand93348279.51