2019 Data Compression Conference (DCC)最新文献_第9页

Adaptive Wavelet Domain Filter for Versatile Video Coding (VVC) 多用途视频编码(VVC)的自适应小波域滤波

2019 Data Compression Conference (DCC) Pub Date : 2019-03-01 DOI: 10.1109/DCC.2019.00015

Suhong Wang, Xianguo Zhang, Shanshe Wang, Siwei Ma, Wen Gao

引用次数: 3

Efficient and Fast Coefficient Sign Inference for Video Coding 高效快速的视频编码系数符号推断

2019 Data Compression Conference (DCC) Pub Date : 2019-03-01 DOI: 10.1109/DCC.2019.00121

Daoyuan Xu, Peiyin Xing, Yaowei Wang, Yonghong Tian

{"title":"Efficient and Fast Coefficient Sign Inference for Video Coding","authors":"Daoyuan Xu, Peiyin Xing, Yaowei Wang, Yonghong Tian","doi":"10.1109/DCC.2019.00121","DOIUrl":"https://doi.org/10.1109/DCC.2019.00121","url":null,"abstract":"In the modern video coding standards, transform coefficient coding takes large portion of output bit-stream. The absolute value of coefficients are usually represented with high-efficiency variable-length code, while the signs are binarized with 1-bit fixed-length code, which ignores the apriority constraints on sign combinations beyond signs. In this paper, we present a fast and efficient sign inference algorithm for improving the coding efficiency of coefficients signs. By considering the correlation of pixels across the transform block boundary, we define a criterion of continuity to constrain the combination space of signs in the block, and shorten the bits will be used. A given number of signs are hidden during bypass coding, and inferred with the high-precision criterion. Then the infer-error is coded with arithmetic coding. Meanwhile a sign bit redefining strategy is introduced, which is based on the invariants of the linear orthogonal separable transform. The strategy ensures that the codec is able to choose up to 4 bits for inferring each block, and avoids the complex decision mechanism introduced by rate distortion optimization. Experiment results show that about 0.6% in average and up to 1.1% BD-rate saving is archived and only less than 1% encoding time complexity increased compared with HEVC baseline.","PeriodicalId":167723,"journal":{"name":"2019 Data Compression Conference (DCC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130720277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On the Randomness of Compressed Data 关于压缩数据的随机性

2019 Data Compression Conference (DCC) Pub Date : 2019-03-01 DOI: 10.1109/DCC.2019.00093

S. T. Klein, Dana Shapira

引用次数: 6

Enhanced Context Sensitive Flash Codes 增强的上下文敏感Flash代码

2019 Data Compression Conference (DCC) Pub Date : 2019-03-01 DOI: 10.1109/DCC.2019.00067

Gilad Baruch, S. T. Klein, Dana Shapira

引用次数: 2

A Hardware-Friendly Extension of Line-Based Intra Prediction for Video Coding 基于行内预测的视频编码硬件友好扩展

2019 Data Compression Conference (DCC) Pub Date : 2019-03-01 DOI: 10.1109/DCC.2019.00078

Santiago De-Luxán-Hernández, A. Wieckowski, H. Schwarz, D. Marpe, T. Wiegand

引用次数: 4

Multidimensional Compression with Pattern Matching 基于模式匹配的多维压缩

2019 Data Compression Conference (DCC) Pub Date : 2019-03-01 DOI: 10.1109/DCC.2019.00079

Olivia Del Guercio, Rafael Orozco, A. Sim, John Wu

引用次数: 0

Improved Video Coding Techniques for Next Generation Video Coding Standard 面向下一代视频编码标准的改进视频编码技术

2019 Data Compression Conference (DCC) Pub Date : 2019-03-01 DOI: 10.1109/DCC.2019.00037

Xiaoyu Xiu, Yuwen He, Yan Ye, R. Vanam, Philippe Hanhart, Taoran Lu, Fangjun Pu, P. Yin, Walt Husak, Tao Chen

{"title":"Improved Video Coding Techniques for Next Generation Video Coding Standard","authors":"Xiaoyu Xiu, Yuwen He, Yan Ye, R. Vanam, Philippe Hanhart, Taoran Lu, Fangjun Pu, P. Yin, Walt Husak, Tao Chen","doi":"10.1109/DCC.2019.00037","DOIUrl":"https://doi.org/10.1109/DCC.2019.00037","url":null,"abstract":"This paper describes a video coding scheme submitted in response to the joint call for proposals (CfP) on video compression for capability beyond HEVC issued by ITU-T SG16 Q.6 (VCEG) and ISO/IEC JTC1/SC29/WG11(MPEG) in October 2017. It includes video coding techniques for the standard dynamic range (SDR) and high dynamic range (HDR) categories. Design of the core SDR codec in the response is based on the joint exploration model (JEM) reference software developed by the joint video exploration team (JVET). Some of key coding tools in the JEM are significantly simplified to reduce both average and worst-case complexity for hardware design with negligible coding performance loss. Furthermore, two additional coding technologies, namely multi-type tree (MTT) and decoder-side intra mode derivation (DIMD), are used to further improve coding efficiency. For the HDR category, besides the tools used in SDR category, two additional coding tools: an in-loop reshaper and a luma-based QP prediction method are used to further improve HDR coding efficiency. Simulation results demonstrate the high coding efficiency achieved by the proposed video codec at the expense of moderate coding complexity over HEVC. For random access configuration, it achieves average bit rate savings of 35.7% and 4.00% over the HM and JEM anchors with decoding time of 263% and 33%, respectively, for the SDR sequences. For the HDR sequences, the proposed in-loop reshaper is configured to maximize HDR objective metrics, it achieves average bit rate savings of 31.3% and 4.6% over the HM and JEM for wPSNRY metrics for the HDR PQ content.","PeriodicalId":167723,"journal":{"name":"2019 Data Compression Conference (DCC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129762026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Enhanced Compression beyond HEVC for Next Generation Content 增强压缩超越HEVC下一代内容

2019 Data Compression Conference (DCC) Pub Date : 2019-03-01 DOI: 10.1109/DCC.2019.00033

K. Misra, A. Segall, Weijia Zhu, Byeongdoo Choi, F. Bossen, Phil Cowan

引用次数: 0

Quantized and Regularized Optimization for Coding Images Using Steered Mixtures-of-Experts 使用导向混合专家的图像编码的量化和正则化优化

2019 Data Compression Conference (DCC) Pub Date : 2019-03-01 DOI: 10.1109/DCC.2019.00044

Rolf Jongebloed, Erik Bochinski, Lieven Lange, T. Sikora

引用次数: 5

Graph-Based Spatio-Angular Prediction for Quasi-Lossless Compression of Light Fields 基于图的准无损压缩光场空间角预测

2019 Data Compression Conference (DCC) Pub Date : 2019-03-01 DOI: 10.1109/DCC.2019.00046

Mira Rizkallah, Thomas Maugey, C. Guillemot

{"title":"Graph-Based Spatio-Angular Prediction for Quasi-Lossless Compression of Light Fields","authors":"Mira Rizkallah, Thomas Maugey, C. Guillemot","doi":"10.1109/DCC.2019.00046","DOIUrl":"https://doi.org/10.1109/DCC.2019.00046","url":null,"abstract":"Graph-based transforms have been shown to be powerful tools for image compression. However, the computation of the basis functions becomes rapidly untractable when the support increases, i.e. when the dimension of the data is high as in the case of light fields. Local transforms with limited supports have been investigated to cope with this difficulty. Nevertheless, the locality of the support may not allow us to fully exploit long term dependencies in the signal. In this paper, we describe a graph based prediction solution that allows taking advantage of intra prediction mechanisms as well as of the good energy compaction properties of the graph transform. The approach relies on a separable spatio-angular transform and derives low frequency spatio-angular coefficients from one single compressed reference view and from the high angular frequency coefficients. In the tests, we used HEVC-Intra, with QP=0, to encode the reference frame with high quality. The high angular frequency coefficients containing very little energy are coded using a simple entropy coder. The approach is shown to be very efficient in a context of high quality quasi-lossless compression of light fields.","PeriodicalId":167723,"journal":{"name":"2019 Data Compression Conference (DCC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132157683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4