HEVC屏幕内容编码的快速算法

H. Tang, Y. Duan, L. Sun, Yi ran Li
{"title":"HEVC屏幕内容编码的快速算法","authors":"H. Tang, Y. Duan, L. Sun, Yi ran Li","doi":"10.1109/SSCI44817.2019.9002825","DOIUrl":null,"url":null,"abstract":"As a high efficiency video coding (HEVC) extension, screen content coding (SCC) has a significant effect in the compressed screen content, but causes a problem encoder calculates a higher complexity. This paper proposes a fast decision method based on HEVC screen content coding. The image content is divided into a natural coding unit (NCU) and a screen coding unit (SCU). The image gradients of different properties are different, and the gini impurity classification gradient value is used to speed up the encoding speed. The experimental results show that under the frame configuration of HM-15.0 SCM-2.0, the method can save about 41.4% of the encoder time.","PeriodicalId":6729,"journal":{"name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","volume":"4 1","pages":"2921-2925"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Fast Algorithm for HEVC Screen Content Coding\",\"authors\":\"H. Tang, Y. Duan, L. Sun, Yi ran Li\",\"doi\":\"10.1109/SSCI44817.2019.9002825\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As a high efficiency video coding (HEVC) extension, screen content coding (SCC) has a significant effect in the compressed screen content, but causes a problem encoder calculates a higher complexity. This paper proposes a fast decision method based on HEVC screen content coding. The image content is divided into a natural coding unit (NCU) and a screen coding unit (SCU). The image gradients of different properties are different, and the gini impurity classification gradient value is used to speed up the encoding speed. The experimental results show that under the frame configuration of HM-15.0 SCM-2.0, the method can save about 41.4% of the encoder time.\",\"PeriodicalId\":6729,\"journal\":{\"name\":\"2019 IEEE Symposium Series on Computational Intelligence (SSCI)\",\"volume\":\"4 1\",\"pages\":\"2921-2925\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Symposium Series on Computational Intelligence (SSCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSCI44817.2019.9002825\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSCI44817.2019.9002825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

屏幕内容编码(SCC)作为一种高效的视频编码(HEVC)扩展,在压缩屏幕内容方面效果显著,但造成编码器计算复杂度较高的问题。提出了一种基于HEVC屏幕内容编码的快速决策方法。图像内容分为自然编码单元(NCU)和屏幕编码单元(SCU)。不同属性的图像梯度不同,采用基尼杂质分类梯度值来加快编码速度。实验结果表明,在HM-15.0 SCM-2.0帧配置下,该方法可节省约41.4%的编码器时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Fast Algorithm for HEVC Screen Content Coding
As a high efficiency video coding (HEVC) extension, screen content coding (SCC) has a significant effect in the compressed screen content, but causes a problem encoder calculates a higher complexity. This paper proposes a fast decision method based on HEVC screen content coding. The image content is divided into a natural coding unit (NCU) and a screen coding unit (SCU). The image gradients of different properties are different, and the gini impurity classification gradient value is used to speed up the encoding speed. The experimental results show that under the frame configuration of HM-15.0 SCM-2.0, the method can save about 41.4% of the encoder time.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Planning for millions of NPCs in Real-Time Improving Diversity in Concept Drift Ensembles Self-Organizing Transformations for Automatic Feature Engineering Corrosion-like Defect Severity Estimation in Pipelines Using Convolutional Neural Networks Heuristic Hybridization for CaRSP, a multilevel decision problem
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1