文献类型：期刊文献

英文题名：An Ultralow Complexity String Matching Approach to Screen Content Coding in AVS3

作者：Yang, Yufen[1];Zhou, Kailun[1];Zhao, Liping[2];Lin, Tao[1]

机构：[1]Tongji Univ, Coll Elect & Informat Engn, VLSI Lab, Shanghai 200092, Peoples R China;[2]Shaoxing Univ, Dept Comp Sci & Engn, Shaoxing 312000, Peoples R China

年份：2021

卷号：31

期号：9

起止页码：3714

外文期刊名：IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

收录：SCI-EXPANDED(收录号：WOS:000693647500034)、、EI(收录号：20213710886164)、Scopus(收录号：2-s2.0-85114594411)、WOS

基金：This work was supported in part by the Natural Science Foundation of Zhejiang Province under Grant LY19F020015, in part by the National Science Foundation of China under Grant 61871289, in part by the Public Service Technology Application Research Project of Shaoxing City under Grant 2018C10015, and in part by the Natural Science Foundation of Shanghai under Grant 18ZR1440600 and Grant 19ZR1461100. This article was recommended by Associate Editor M. R. Hashemi.

语种：英文

外文关键词：Encoding; Complexity theory; Standards; Tools; Hardware; Mobile handsets; Software; Audio-video coding standard; screen content coding; string matching; dual unity offset string

外文摘要：Screen content coding (SCC) is increasingly used in mobile devices, and ultralow coding complexity is required for low power consumption. This article proposes an ultralow complexity string matching approach to SCC. The proposed approach has two essential features: 1) allowing only two types of most effective reference strings that have two most frequently occurring values of offset (i.e., displacement vector) named dual unity offset and 2) fully optimized coding of string matching parameters for maximum coding efficiency. Since at most only two offset values and corresponding reference string positions are allowed for any current string being coded, the optimal reference string searching process is extremely simple and only needs to select the best string from at most two candidates. Moreover, in the proposed approach, the value ranges of string matching parameters, i.e., the string offset vector and string length are very limited, resulting in few bits to code the two parameters and high coding efficiency. Compared with the AVS3 reference software HPM7.0 with IBC disabled, using AVS3 SCC common test condition and YUV test sequences in text and graphics with motion category, the proposed technique achieves Y average BD-rate reduction of 10.8% and 5.8% for all intra (AI) and low-delay B (LDB) configurations, respectively, at ultralow encoding and decoding complexity.