| Item type |
文献 / Documents(1) |
| 公開日 |
2020-12-18 |
| 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/e21020165 |
|
|
関連名称 |
10.3390/e21020165 |
| 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 |
Quality-Oriented Perceptual HEVC Based on the Spatiotemporal Saliency Detection Model |
| 著者 |
Jiang, Xiantao
宋, 天
Zhu, Daqi
片山, 貴文
Wang, Lu
|
| 抄録 |
|
|
内容記述 |
Perceptual video coding (PVC) can provide a lower bitrate with the same visual quality compared with traditional H.265/high efficiency video coding (HEVC). In this work, a novel H.265/HEVC-compliant PVC framework is proposed based on the video saliency model. Firstly, both an effective and efficient spatiotemporal saliency model is used to generate a video saliency map. Secondly, a perceptual coding scheme is developed based on the saliency map. A saliency-based quantization control algorithm is proposed to reduce the bitrate. Finally, the simulation results demonstrate that the proposed perceptual coding scheme shows its superiority in objective and subjective tests, achieving up to a 9.46% bitrate reduction with negligible subjective and objective quality loss. The advantage of the proposed method is the high quality adapted for a high-definition video application. |
| キーワード |
|
|
主題 |
H.265/HEVC |
| キーワード |
|
|
主題 |
perceptual video coding |
| キーワード |
|
|
主題 |
video saliency model |
| キーワード |
|
|
主題 |
bitrate reduction |
| 書誌情報 |
en : Entropy
巻 21,
号 2,
p. 165,
発行日 2019-02-11
|
| 収録物ID |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
10994300 |
| 出版者 |
|
|
出版者 |
MDPI |
| 権利情報 |
|
|
権利情報 |
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
| EID |
|
|
識別子 |
349467 |
| 言語 |
|
|
言語 |
eng |
entropy_21_2_165.pdf (1.16 MB)
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