VLSI架构非常高的分辨率可扩展的视频编码使用虚拟零树

L. Ang, H. Cheung, K. Eshraghian
{"title":"VLSI架构非常高的分辨率可扩展的视频编码使用虚拟零树","authors":"L. Ang, H. Cheung, K. Eshraghian","doi":"10.1109/SIPS.1999.822318","DOIUrl":null,"url":null,"abstract":"In this paper, we present a hardware architecture for very high resolution (VHR) scalable video coding using the virtual zerotree (VZT) algorithm, a variant of the embedded zerotree wavelet (EZW) algorithm. The VZT architecture is regular and modular and is suitable for VLSI implementation. The output of the architecture is a data stream containing the virtual map, significance map and successive-approximation quantization symbols of the VZT algorithm. The approach is based on an efficient scheme to determine ancestor-descendant relationships in the wavelet coefficient data stream by rearrangement of the data stream for simpler VLSI implementation. The approach uses the sign-magnitude binary representation of the rearranged wavelet coefficients to form a single bit data stream as the input into the architecture. The coding and quantization for the VZT algorithm are formulated in view of the single bit data stream input and the corresponding VLSI architecture to implement the formulated requirements is presented.","PeriodicalId":275030,"journal":{"name":"1999 IEEE Workshop on Signal Processing Systems. SiPS 99. Design and Implementation (Cat. No.99TH8461)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"VLSI architecture for very high resolution scalable video coding using the virtual zerotree\",\"authors\":\"L. Ang, H. Cheung, K. Eshraghian\",\"doi\":\"10.1109/SIPS.1999.822318\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a hardware architecture for very high resolution (VHR) scalable video coding using the virtual zerotree (VZT) algorithm, a variant of the embedded zerotree wavelet (EZW) algorithm. The VZT architecture is regular and modular and is suitable for VLSI implementation. The output of the architecture is a data stream containing the virtual map, significance map and successive-approximation quantization symbols of the VZT algorithm. The approach is based on an efficient scheme to determine ancestor-descendant relationships in the wavelet coefficient data stream by rearrangement of the data stream for simpler VLSI implementation. The approach uses the sign-magnitude binary representation of the rearranged wavelet coefficients to form a single bit data stream as the input into the architecture. The coding and quantization for the VZT algorithm are formulated in view of the single bit data stream input and the corresponding VLSI architecture to implement the formulated requirements is presented.\",\"PeriodicalId\":275030,\"journal\":{\"name\":\"1999 IEEE Workshop on Signal Processing Systems. SiPS 99. Design and Implementation (Cat. No.99TH8461)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 IEEE Workshop on Signal Processing Systems. SiPS 99. Design and Implementation (Cat. No.99TH8461)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIPS.1999.822318\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 IEEE Workshop on Signal Processing Systems. SiPS 99. Design and Implementation (Cat. No.99TH8461)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPS.1999.822318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

在本文中,我们提出了一种使用虚拟零树(VZT)算法(嵌入式零树小波(EZW)算法的一种变体)进行高分辨率(VHR)可扩展视频编码的硬件架构。VZT架构具有规范化、模块化的特点,适合大规模集成电路的实现。该体系结构的输出是包含VZT算法的虚拟图、显著图和逐次逼近量化符号的数据流。该方法基于一种有效的方案,通过重新排列数据流来确定小波系数数据流中的祖先-后代关系,以简化VLSI实现。该方法使用重新排列的小波系数的符号幅度二进制表示来形成一个单比特数据流作为结构的输入。针对单比特数据流输入,制定了VZT算法的编码和量化,并给出了相应的VLSI体系结构来实现这些要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VLSI architecture for very high resolution scalable video coding using the virtual zerotree
In this paper, we present a hardware architecture for very high resolution (VHR) scalable video coding using the virtual zerotree (VZT) algorithm, a variant of the embedded zerotree wavelet (EZW) algorithm. The VZT architecture is regular and modular and is suitable for VLSI implementation. The output of the architecture is a data stream containing the virtual map, significance map and successive-approximation quantization symbols of the VZT algorithm. The approach is based on an efficient scheme to determine ancestor-descendant relationships in the wavelet coefficient data stream by rearrangement of the data stream for simpler VLSI implementation. The approach uses the sign-magnitude binary representation of the rearranged wavelet coefficients to form a single bit data stream as the input into the architecture. The coding and quantization for the VZT algorithm are formulated in view of the single bit data stream input and the corresponding VLSI architecture to implement the formulated requirements is presented.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信