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A memory access number constraint-based string prediction technique for high throughput SCC implemented in AVS3  ( SCI-EXPANDED收录 EI收录)   被引量:1

文献类型:期刊文献

英文题名:A memory access number constraint-based string prediction technique for high throughput SCC implemented in AVS3

作者:Zhao, Liping[1,3,4];Yan, Zuge[1];Hu, Keli[1,3,4,5];Feng, Sheng[1,4];Wang, Jiangda[1,4];Cao, Xueyan[2];Lin, Tao[2]

机构:[1]Shaoxing Univ, Dept Comp Sci & Engn, Shaoxing, Peoples R China;[2]Tongji Univ, Coll Elect & Informat Engn, Shanghai, Peoples R China;[3]Peking Univ, Informat Technol R&D Innovat Ctr, Beijing, Peoples R China;[4]Shaoxing Univ, Inst Artificial Intelligence, Shaoxing, Peoples R China;[5]Zhejiang Prov Peoples Hosp, Canc Ctr, Dept Gastroenterol, Hangzhou, Peoples R China

年份:2024

卷号:105

外文期刊名:JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

收录:SCI-EXPANDED(收录号:WOS:001356126300001)、、EI(收录号:20244617355122)、Scopus(收录号:2-s2.0-85208562279)、WOS

基金:This work is partially supported by the National Natural Science Foundation of China (No. 62271321) and the Zhejiang Provincial Natural Science Foundation of China under Grant (No. LZ24F010003, LZ24F020006, LR23F020001, LTGG24F020005, No. LTY22F020003, No. TY22F025548), the Science and Technology Plan Project in Basic Public Welfare Class of Shaoxing City (No.2022A11002, No.2023A11006), the China Postdoctoral Science Foundation under Grant 2023M733161, and Zhejiang Provincial Postdoctoral Science Foundation under Grant ZJ2022066), and the Ministry of Education Theme Case Project in 2023 under Grant No. ZT-231034902 and the Higher Education Research Project of the Zhejiang Higher Education Association in 2023 under Grant No. KT2023098.

语种:英文

外文关键词:Video coding; Screen content coding; Audio video standard; String prediction; High throughput

外文摘要:String prediction (SP) is a highly efficient screen content coding (SCC) tool that has been adopted in international and Chinese video coding standards. SP exhibits a highly flexible and efficient ability to predict repetitive matching patterns. However, SP also suffers from low throughput of decoded display output pixels per memory access, which is synchronized with the decoder clock, due to the high number of memory accesses required to decode an SP coding unit for display. Even in state-of-the-art (SOTA) SP, the worst-case scenario involves two memory accesses for decoding each 4-pixel basic string unit across two memory access units, resulting in a throughput as low as two pixels per memory access (PPMA). To solve this problem, we are the first to propose a technique called memory access number constraint-based string prediction (MANC-SP) to achieve high throughput in SCC. First, a novel MANC-SP framework is proposed, a well-designed memory access number constraint rule is established on the basis of statistical data, and a constrained RDO-based string searching method is presented. Compared with the existing SOTA SP, the experimental results demonstrate that MANC-SP can improve the throughput from 2 to 2.67 PPMA, achieving a throughput improvement of 33.33% while maintaining a negligible impact on coding efficiency and complexity.

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