Title
Adaptive Truncation Algorithm for Hadamard-Transformed H.264/AVC Lossless Video Coding
Abstract
An efficient lossless video codec based on H.264/AVC that uses the Hadamard transform and adaptive truncation (HTAT) method is proposed. Most lossless video coding algorithms avoid transforms in their coding procedures. However, without this transformation, those lossless video coding algorithms cannot take advantage of data compaction. The HTAT method adopts the Hadamard transform to compact data, where the transformed coefficients are adaptively separated into the quotient parts and remainder parts. The quotient parts can be better encoded by entropy coders due to the energy compaction provided by the Hadamard transform. To ensure lossless coding, the remainders are encoded into compact form after exploring the redundancies caused by the Hadamard transform. Simulation results show that the proposed HTAT method has better coding performance than that of the original H.264/AVC lossless coding, with 6.2% and 3.7% reductions in bit rate for all I frame sequences and IPPP sequences, respectively.
Year
DOI
Venue
2011
10.1109/TCSVT.2011.2129030
IEEE Trans. Circuits Syst. Video Techn.
Keywords
Field
DocType
h.264/avc,video codec,quotient part,lossless coding,htat method,adaptive truncation algorithm,energy compaction,coding performance,coding procedure,transform coefficients,h.264/avc lossless video coding,ippp sequences,frame sequences,data compression,proposed htat method,data compaction,efficient lossless,hadamard transform,hadamard transforms,avc lossless video coding,video coding,avc lossless coding,efficient lossless video codec,entropy coders,lossless video,hadamard-transformed h.264,entropy codes,entropy coding,quantization,error correction code,indexing terms,error correction
Tunstall coding,Entropy encoding,Computer science,Context-adaptive variable-length coding,Transform coding,Algorithm,Data compression,Hadamard transform,Context-adaptive binary arithmetic coding,Lossless compression
Journal
Volume
Issue
ISSN
21
5
1051-8215
Citations 
PageRank 
References 
6
0.82
9
Authors
4
Name
Order
Citations
PageRank
Shih-tse Wei1213.13
Chia-Wei Tien281.61
Bin-da Liu356366.56
Jar-Ferr Yang41115142.85