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Landan Hu

dblp:166/2857 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

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 graphics and multimedia
1 paper
Image and video coding · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Integrated circuit design · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding
rate-distortion optimization
0.312017
Fast Algorithm and VLSI Architecture of Rate Distortion Optimization in H.265/HEVC · IEEE Trans. Multim. 2017
Integrated circuit design › digital circuit design
VLSI architecture
0.312017
Fast Algorithm and VLSI Architecture of Rate Distortion Optimization in H.265/HEVC · IEEE Trans. Multim. 2017

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

quantization-free framework · 0.6
YearPublicationVenuePosition
2017 Fast Algorithm and VLSI Architecture of Rate Distortion Optimization in H.265/HEVC
abstract
In H.265/high efficiency video coding (HEVC) encoding, rate distortion optimization (RDO) is an important cost function for mode decision and coding structure decision. Despite being near-optimum in terms of coding efficiency, RDO suffers from a high complexity. To address this problem, this paper presents a fast RDO algorithm and its very large scale implementation (VLSI) for both intra- and inter-frame coding. The proposed algorithm employs a quantization-free framework that significantly reduces the complexity for rate and distortion optimization. Meanwhile, it maintains a low degradation of coding efficiency by taking the syntax element organization and probability model of HEVC into consideration. The algorithm is also designed with hardware architecture in mind to support an efficient VLSI implementation. When implemented in the HEVC test model, the proposed algorithm achieves 62% RDO time reduction with 1.85% coding efficiency loss for the “all-intra” configuration. The hardware implementation achieves 1.6 × higher normalized throughput relative to previous works, and it can support a throughput of 8k@30fps (for four fine-processed modes per prediction unit) with 256 k logic gates when working at 200 MHz.
Heming Sun, Dajiang Zhou, Landan Hu, Shinji Kimura, Satoshi Goto
IEEE Trans. Multim.3