Architecture Design of High Definition SNR Scalable Video Encoder with CABAC
Date Issued
2007
Date
2007
Author(s)
Chen, Yu-Jen
DOI
en-US
Abstract
An efficient architecture design of high definition SNR scalable video encoder with ultra high throughput CABAC is presented in this thesis. In the recent development of video coding standards, the targets are not only compression efficiency, but also the functionality to meet various requirements of heterogeneous network environments, different display sizes and processing capability of user devices. Therefore, the concept of scalavle video coding (SVC) arises. The scalable extension of H.264/MPEG-4 AVC can provide good compression efficiency and several dimensions of functionalities.
Nowadays, wireless communication is mature and exists everywhere. Fine grain SNR (quality) scalability (FGS) is very important to give arbitrary quality levels according to the available bandwidth. The quality of service (QoS) can be greatly enhanced with FGS, but it introduces large internal memory size or external memory bandwidth in hardware implementation due to multiple frame-level operations. Several novel algorithms are proposed to achieve 99% reduction in internal memory size or 92% reduction in external memory bandwidth. Moreover, layer-wise hardware reuse for FGS layered coding reduces the silicon costs significantly. Our high-performance FGS design can real-time encode HDTV 1920$ imes$1080 sequences with 30 frames per second.
Entropy coding is to compress data based on their probability distribution. Context-based Adaptive Binary Arithmetic Coding (CABAC) is the mainstream of entropy coding in video coding standards. CABAC is usually the bottleneck in high-end video encoder because of its bit-serial processing and high data dependency. Two novel ultra high throughput architectures are proposed: the multi-symbol and ML-decomposed architecture. They are flexible and easily configurable for different requirements. The throughput of 840 Msymbols/sec can be attained. The proposed CABAC design achieves the highest throughput compared to all other works.
In this thesis, the first SNR scalable video encoder of H.264/MPEG-4 AVC scalable extension is implemented. It includes the highest throughput entropy coder up to now, and 92% of off-chip memory bandwidth or 99% of on-chip memory size can be reduced. Therefore, our design is not only for current HDTV applications, but also for much higher specifications in the near future.
Subjects
可調視訊編碼
視訊畫質可調編碼器
熵編碼
算術編碼
Scalable video coding
H.264/MPEG-4 AVC
SNR scalability
fine gain scalability
entropy coding
CABAC
arithemtic coding
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-96-R94943008-1.pdf
Size
23.31 KB
Format
Adobe PDF
Checksum
(MD5):be8133ce0affbfc4a2ab1b15d31aab45