An Advanced Total_Zeros Decoding Method Based on New Memory Architecture in H.264/AVC CAVLC

A new total[_]zeros decoding method based on efficient memory architecture for variable-length code tables (VLCTs) is proposed in this paper. In general, a large amount of memory accesses are required for context-based adaptive variable-length coding (CAVLC) decoding in the H.264/AVC standard. It is...

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Vydáno v:IEEE transactions on circuits and systems for video technology Ročník 18; číslo 9; s. 1312 - 1317
Hlavní autor: Moon, Yong Ho
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY Institute of Electrical and Electronics Engineers 01.09.2008
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Applied sciences
Architecture
Circuits
Coding, codes
Decoding
Electronics
Error analysis
Exact sciences and technology
Information, signal and communications theory
Integrated circuits
Integrated circuits by function (including memories and processors)
Power consumption
Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices
Signal and communications theory
Simulation
Syntax
Tables
Telecommunications and information theory
Decoding
Context-based adaptive variable-length coding (CAVLC) decoding
Memory function
H.264/AVC
variable-length code table (VLCT)
Storage access
Implementation
Adaptive coding
memory architecture
Power consumption
Simulation
Storage management
Low-power electronics
Exp-Golomb code
total-zeros
Variable length code
ISSN:1051-8215, 1558-2205
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Shrnutí:A new total[_]zeros decoding method based on efficient memory architecture for variable-length code tables (VLCTs) is proposed in this paper. In general, a large amount of memory accesses are required for context-based adaptive variable-length coding (CAVLC) decoding in the H.264/AVC standard. It is an important issue for low-power implementation of mobile video applications because the memory access function results in considerable power consumption. Some distinctive features in the VLCTs of the total[_] zeros have been found through a careful analysis of the codewords. Efficient memory architecture and an advanced decoding are developed in order to remove redundant memory access. The simulation results show that the proposed method achieves an approximately 80%-90% memory access saving, compared with conventional decoding.
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ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2008.926999