Title
High Performance Vlsi Architecture Of H.265/Hevc Intra Prediction For 8k Uhdtv Video Decoder
Abstract
8 K Ultra High Definition Television (UHDTV) requires extremely high throughput for video decoding based on H.265. In H.265, intra coding could significantly enhance video compression efficiency, at the expense of an increased computational complexity compared with H.264. For intra prediction of 8 K UHDTV real-time H. 265 decoding, the joint complexity and throughput issue is more difficult to solve. Therefore, based on the divide-and-conquer strategy, we propose a new VLSI architecture in this paper, including two techniques, in order to achieve 8 K UHDTV H. 265 intra prediction decoding. The first technique is the LUT based Reference Sample Fetching Scheme (LUT-RSFS), reducing the number of reference samples in the worst case from 99 to 13. It further reduces the circuit area and enhances the performance. The second one is the Hybrid Block Reordering and Data Forwarding (HBRDF), minimizing the idle time and eliminating the dependency between TUs by creating 3 Data Forwarding paths. It achieves the hardware utilization of 94%. Our design is synthesized using Synopsys Design Compiler in 40 nm process technology. It achieves an operation frequency of 260 MHz, with a gate count of 217.8K for 8-bit design, and 251.1K for 10-bit design. The proposed VLSI architecture can support 4320p@ 120 fps H. 265 intra decoding (8-bit or 10-bit), with all 35 intra prediction modes and prediction unit sizes ranging from 4 x 4 to 64 x 64.
Year
DOI
Venue
2015
10.1587/transfun.E98.A.2519
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
Keywords
Field
DocType
HEVC/H.265 decoder, intra prediction, VLSI architecture, 8 K UHDTV
Computer architecture,Theoretical computer science,Video decoder,Mathematics,Vlsi architecture
Journal
Volume
Issue
ISSN
E98A
12
0916-8508
Citations 
PageRank 
References 
4
0.49
3
Authors
5
Name
Order
Citations
PageRank
Jian-Bin Zhou1234.66
Dajiang Zhou235550.25
Shihao Wang36213.33
Takeshi Yoshimura44313.56
Satoshi Goto51006142.14