2013 Visual Communications and Image Processing (VCIP)最新文献_第2页

Measuring orderliness based on social force model in collective motions 集体运动中基于社会力量模型的有序度度量

2013 Visual Communications and Image Processing (VCIP) Pub Date : 2013-11-01 DOI: 10.1109/VCIP.2013.6706431

Yu Bai, Yi Xu, Xiaokang Yang, Qing Yan

引用次数: 3

Efficient key picture and single loop decoding scheme for SHVC 高效的SHVC密钥图像和单循环解码方案

2013 Visual Communications and Image Processing (VCIP) Pub Date : 2013-11-01 DOI: 10.1109/VCIP.2013.6706453

K. Rapaka, Jianle Chen, M. Karczewicz

{"title":"Efficient key picture and single loop decoding scheme for SHVC","authors":"K. Rapaka, Jianle Chen, M. Karczewicz","doi":"10.1109/VCIP.2013.6706453","DOIUrl":"https://doi.org/10.1109/VCIP.2013.6706453","url":null,"abstract":"Scalable video coding has been a popular research topic for many years. As one of its key objectives, it aims to support different receiving devices connected through a network structure using a single bitstream. Scalable video coding extension of HEVC, also called as SHVC, is being developed by Joint Collaborative Team on Video Coding (JCT-VC) of ISO/IEC MPEG and ITU-T VCEG. Compared to previous standardized scalable video coding technologies, SHVC employs multi-loop decoding design with no low-level changes within any given layer compared to HEVC. With such a simplified extension it aims at solving some of the problems of previous scalable extensions that haven't been successful, and at the same time, aims at supporting all design features that are of vital importance for the success of SHVC. Supporting lightweight and finely tunable bandwidth adaptation is one such vital design feature important for the success of SHVC. This paper proposes novel high level syntax mechanism for SHVC quality scalability to support: (a) using the decoded pictures from higher quality layer as reference for lower layer pictures and key pictures concept to reduce drift; (b) single loop decoding design with encoder only constraints without introducing any normative low-level changes to the normal multi-loop decoding process. Experimental results based on SHVC reference software (SHM 2.0) show that the proposed key picture method achieves an average of 2.9% luma BD-rate reduction in multi-loop framework and an average of 4.4% luma BD-rate loss to attain the capability of single loop decoding.","PeriodicalId":407080,"journal":{"name":"2013 Visual Communications and Image Processing (VCIP)","volume":"84 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131791237","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: 1

On secondary transforms for scalable video coding 关于可扩展视频编码的二次变换

2013 Visual Communications and Image Processing (VCIP) Pub Date : 2013-11-01 DOI: 10.1109/VCIP.2013.6706392

A. Saxena, Felix C. A. Fernandes

{"title":"On secondary transforms for scalable video coding","authors":"A. Saxena, Felix C. A. Fernandes","doi":"10.1109/VCIP.2013.6706392","DOIUrl":"https://doi.org/10.1109/VCIP.2013.6706392","url":null,"abstract":"In this paper, we present a secondary transform scheme for inter-layer prediction residue in scalable video coding (SVC). Efficient prediction of the co-located blocks from the base layer (BL) can significantly improve the enhancement layer (EL) coding in SVC, especially when the temporal information from previous EL frames is less correlated than the co-located BL information. However, Guo et al. showed that because of the peculiar frequency characteristics of EL residuals, the conventional DCT Type-2 transform is suboptimal and is often outperformed by either the DCT Type-3, or DST Type-3 when these transforms are applied to the EL residuals. However, their proposed technique requires upto 8 additional transform cores, two of which are of size 32×32. Here, in this work, we propose a secondary transform scheme, where the proposed transform is applied only to the lower 8x8 frequency coefficients after DCT, for block sizes 8×8 to 32×32. Our proposed transform scheme requires at most only 2 additional cores. We also propose a low-complexity 8x8 Rotational Transform as a special case of secondary transforms in this paper. Simulation results show that the proposed transform scheme provides significant BD-Rate improvement over the conventional DCT-based coding scheme for video sequences in the ongoing scalable extensions of HEVC standardization.","PeriodicalId":407080,"journal":{"name":"2013 Visual Communications and Image Processing (VCIP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129406104","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

Scene-aware perceptual video coding 场景感知感知视频编码

2013 Visual Communications and Image Processing (VCIP) Pub Date : 2013-11-01 DOI: 10.1109/VCIP.2013.6706427

Fei Liang, Xiulian Peng, Jizheng Xu

引用次数: 2

Neighboring block based disparity vector derivation for 3D-AVC 基于邻块的3D-AVC视差矢量推导

2013 Visual Communications and Image Processing (VCIP) Pub Date : 2013-11-01 DOI: 10.1109/VCIP.2013.6706401

Li Zhang, Jewon Kang, Xin Zhao, Ying Chen, R. Joshi

引用次数: 6

Transform coefficient coding design for AVS2 video coding standard AVS2视频编码标准的变换系数编码设计

2013 Visual Communications and Image Processing (VCIP) Pub Date : 2013-11-01 DOI: 10.1109/VCIP.2013.6706447

Jing Wang, Xiaofeng Wang, Tianying Ji, Dake He

引用次数: 4

Effective stereo matching using reliable points based graph cut 有效的立体匹配使用可靠的点为基础的图切

2013 Visual Communications and Image Processing (VCIP) Pub Date : 2013-11-01 DOI: 10.1109/VCIP.2013.6706415

Haoqian Wang, M. Wu, Yongbing Zhang, Lei Zhang

引用次数: 14

A coding unit classification based AVC-to-HEVC transcoding with background modeling for surveillance videos 基于avc - hevc转码的监控视频背景建模编码单元分类

2013 Visual Communications and Image Processing (VCIP) Pub Date : 2013-11-01 DOI: 10.1109/VCIP.2013.6706393

Peiyin Xing, Yonghong Tian, Xianguo Zhang, Yaowei Wang, Tiejun Huang

{"title":"A coding unit classification based AVC-to-HEVC transcoding with background modeling for surveillance videos","authors":"Peiyin Xing, Yonghong Tian, Xianguo Zhang, Yaowei Wang, Tiejun Huang","doi":"10.1109/VCIP.2013.6706393","DOIUrl":"https://doi.org/10.1109/VCIP.2013.6706393","url":null,"abstract":"To save the storage and transmission cost, it is applicable now to develop fast and efficient methods to transcode the perennial surveillance videos to HEVC ones, since HEVC has doubled the compression ratio. Considering the long-time static background characteristic of surveillance videos, this paper presents a coding unit (CU) classification based AVC-to-HEVC transcoding method with background modeling. In our method, the background frame modeled from originally decoded frames is firstly transcoded into HEVC stream as long-term reference to enhance the prediction efficiency. Afterwards, a CU classification algorithm which employs decoded motion vectors and the modeled background frame as input is proposed to divide the decoded data into background, foreground and hybrid CUs. Following this, different transcoding strategies of CU partition termination, prediction unit candidate selection and motion estimation simplification are adopted for different CU categories to reduce the complexity. Experimental results show our method can achieve 45% bit saving and 50% complexity reduction against traditional AVC-to-HEVC transcoding.","PeriodicalId":407080,"journal":{"name":"2013 Visual Communications and Image Processing (VCIP)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115364796","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: 23

Progressive motion vector resolution for HEVC HEVC的渐进运动矢量分辨率

2013 Visual Communications and Image Processing (VCIP) Pub Date : 2013-11-01 DOI: 10.1109/VCIP.2013.6706363

Juncheng Ma, Jicheng An, Kai Zhang, Siwei Ma, S. Lei

引用次数: 9

Wavelet based smoke detection method with RGB Contrast-image and shape constrain 基于RGB对比图像和形状约束的小波烟雾检测方法

2013 Visual Communications and Image Processing (VCIP) Pub Date : 2013-11-01 DOI: 10.1109/VCIP.2013.6706406

Jia Chen, Yaowei Wang, Yonghong Tian, Tiejun Huang

引用次数: 28