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Cong Liu 0014

dblp:95/6404-14 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Hardware accelerators and domain-specific architectures · 100%
Computer graphics and multimedia
1 paper
Image and video coding · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Hardware accelerators and domain-specific architectures
video coding accelerator
0.212016
A Combined Deblocking Filter and SAO Hardware Architecture for HEVC · IEEE Trans. Multim. 2016
Image and video coding › video compression › video codec
HEVC
0.112016
A Combined Deblocking Filter and SAO Hardware Architecture for HEVC · IEEE Trans. Multim. 2016
Image and video coding › video compression
in-loop filtering
0.112016
A Combined Deblocking Filter and SAO Hardware Architecture for HEVC · IEEE Trans. Multim. 2016

Methods — techniques the papers use, named apart from their topics

interlacing memory organization · 0.5bitrate estimation · 0.5
YearPublicationVenuePosition
2016 A Combined Deblocking Filter and SAO Hardware Architecture for HEVC
abstract
The latest video coding standard high-efficiency video coding (HEVC) provides 50% improvement in coding efficiency compared to H.264/AVC to meet the rising demands for video streaming, better video quality, and higher resolution. The deblocking filter (DF) and sample adaptive offset (SAO) play an important role in the HEVC encoder, and the SAO is newly adopted in HEVC. Due to the high throughput requirement in the video encoder, design challenges such as data dependence, external memory traffic, and on-chip memory area become even more critical. To solve these problems, we first propose an interlacing memory organization on the basis of quarter-LCU to resolve the data dependence between vertical and horizontal filtering of DF. The on-chip SRAM area is also reduced to about 25% on the basis of quarter-LCU scheme without throughput loss. We also propose a simplified bitrate estimation method of rate-distortion cost calculation to reduce the computational complexity in the mode decision of SAO. Our proposed hardware architecture of combined DF and SAO is designed for the HEVC intraencoder, and the proposed simplified bitrate estimation method of SAO can be applied to both intra- and intercoding. As a result, our design can support ultrahigh definition 7680 × 4320 at 40 f/s applications at merely 182 MHz working frequency. Total logic gate count is 103.3 K in 65 nm CMOS process.
Weiwei Shen, Yibo Fan, Yufeng Bai, Leilei Huang, Qing Shang, Cong Liu 0014, Xiaoyang Zeng
IEEE Trans. Multim.6