| Item type |
文献 / Documents(1) |
| 公開日 |
2023-02-01 |
| アクセス権 |
|
|
アクセス権 |
open access |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 出版社版DOI |
|
|
|
関連識別子 |
https://doi.org/10.3390/info13080394 |
|
|
関連名称 |
10.3390/info13080394 |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| タイトル |
|
|
タイトル |
Saliency-Enabled Coding Unit Partitioning and Quantization Control for Versatile Video Coding |
| 著者 |
Li, Wei
Jiang, Xiantao
Jin, Jiayuan
宋, 天
Yu, Fei Richard
|
| 抄録 |
|
|
内容記述 |
The latest video coding standard, versatile video coding (VVC), has greatly improved coding efficiency over its predecessor standard high efficiency video coding (HEVC), but at the expense of sharply increased complexity. In the context of perceptual video coding (PVC), the visual saliency model that utilizes the characteristics of the human visual system to improve coding efficiency has become a reliable method due to advances in computer performance and visual algorithms. In this paper, a novel VVC optimization scheme compliant PVC framework is proposed, which consists of fast coding unit (CU) partition algorithm and quantization control algorithm. Firstly, based on the visual saliency model, we proposed a fast CU division scheme, including the redetermination of the CU division depth by calculating Scharr operator and variance, as well as the executive decision for intra sub-partitions (ISP), to reduce the coding complexity. Secondly, a quantization control algorithm is proposed by adjusting the quantization parameter based on multi-level classification of saliency values at the CU level to reduce the bitrate. In comparison with the reference model, experimental results indicate that the proposed method can reduce about 47.19% computational complexity and achieve a bitrate saving of 3.68% on average. Meanwhile, the proposed algorithm has reasonable peak signal-to-noise ratio losses and nearly the same subjective perceptual quality. |
| キーワード |
|
|
主題 |
VVC |
| キーワード |
|
|
主題 |
saliency map |
| キーワード |
|
|
主題 |
full convolutional network |
| キーワード |
|
|
主題 |
coding unit partitioning |
| キーワード |
|
|
主題 |
bitrate reduction |
| 書誌情報 |
en : Information
巻 13,
号 8,
p. 394,
発行日 2022-08-19
|
| 収録物ID |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
20782489 |
| 出版者 |
|
|
出版者 |
MDPI |
| 権利情報 |
|
|
権利情報 |
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
| EID |
|
|
識別子 |
390590 |
| 言語 |
|
|
言語 |
eng |
info_13_8_394.pdf (3.2 MB)
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