Scalable video coding algorithm based on 3D hybrid tree and visual characteristics
The distribution characteristic of three-dimensional wavelet coefficients of video data was ana ed,and a scalable video coding algorithm was subsequently addressed based on hybrid three-dimensional tree and human visual system (HVS) characteristics.First,the hybrid tree structure was adaptively dete...
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Editorial Department of Journal on Communications
2012-11-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.11.013/ |
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author | Ming-zhe FU Xiang-hai WANG Chuan-ming SONG |
author_facet | Ming-zhe FU Xiang-hai WANG Chuan-ming SONG |
author_sort | Ming-zhe FU |
collection | DOAJ |
description | The distribution characteristic of three-dimensional wavelet coefficients of video data was ana ed,and a scalable video coding algorithm was subsequently addressed based on hybrid three-dimensional tree and human visual system (HVS) characteristics.First,the hybrid tree structure was adaptively determined according to the auto-correlation of low-pass and high-pass coefficients.It reduced obviously the number of ion bits locating significant wavelet coefficients when scanning and processing low-pass and high-pass coefficients in temporal dimension.Second,each wavelet coefficient was weighted in terms of HVS sensitivity to its corresponding subband.Significant coefficients thus tended to be coded with high priority and arranged at the front of bitstream,and the reconstructed video quality was improved at low and medium bitrates to a great extent.Experimental results in terms of peak signal-to-noise ratio (PSNR) verified the effectiveness of the proposed algorithm on several test videos with varying characteristics.0.65dB,1.75dB,and 1.77dB higher PSNR are gained than asymmetric 3-D orientation tree for Y,U,and V components,respectively.Moreover,0.23dB,2.11dB,and 1.72dB higher PSNR are reached than single temporal-spatial orientation tree separately for Y,U,and V components.Besides,better subjective quality is obtained through effectively attenuating ringing artifact. |
format | Article |
id | doaj-art-3fef6ac19e76443a8713e0cce44746f8 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2012-11-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-3fef6ac19e76443a8713e0cce44746f82025-01-14T06:33:31ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-11-013310010759666716Scalable video coding algorithm based on 3D hybrid tree and visual characteristicsMing-zhe FUXiang-hai WANGChuan-ming SONGThe distribution characteristic of three-dimensional wavelet coefficients of video data was ana ed,and a scalable video coding algorithm was subsequently addressed based on hybrid three-dimensional tree and human visual system (HVS) characteristics.First,the hybrid tree structure was adaptively determined according to the auto-correlation of low-pass and high-pass coefficients.It reduced obviously the number of ion bits locating significant wavelet coefficients when scanning and processing low-pass and high-pass coefficients in temporal dimension.Second,each wavelet coefficient was weighted in terms of HVS sensitivity to its corresponding subband.Significant coefficients thus tended to be coded with high priority and arranged at the front of bitstream,and the reconstructed video quality was improved at low and medium bitrates to a great extent.Experimental results in terms of peak signal-to-noise ratio (PSNR) verified the effectiveness of the proposed algorithm on several test videos with varying characteristics.0.65dB,1.75dB,and 1.77dB higher PSNR are gained than asymmetric 3-D orientation tree for Y,U,and V components,respectively.Moreover,0.23dB,2.11dB,and 1.72dB higher PSNR are reached than single temporal-spatial orientation tree separately for Y,U,and V components.Besides,better subjective quality is obtained through effectively attenuating ringing artifact.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.11.013/video codinghybrid tree structure3D wavelet transformzerotreehuman visual system |
spellingShingle | Ming-zhe FU Xiang-hai WANG Chuan-ming SONG Scalable video coding algorithm based on 3D hybrid tree and visual characteristics Tongxin xuebao video coding hybrid tree structure 3D wavelet transform zerotree human visual system |
title | Scalable video coding algorithm based on 3D hybrid tree and visual characteristics |
title_full | Scalable video coding algorithm based on 3D hybrid tree and visual characteristics |
title_fullStr | Scalable video coding algorithm based on 3D hybrid tree and visual characteristics |
title_full_unstemmed | Scalable video coding algorithm based on 3D hybrid tree and visual characteristics |
title_short | Scalable video coding algorithm based on 3D hybrid tree and visual characteristics |
title_sort | scalable video coding algorithm based on 3d hybrid tree and visual characteristics |
topic | video coding hybrid tree structure 3D wavelet transform zerotree human visual system |
url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.11.013/ |
work_keys_str_mv | AT mingzhefu scalablevideocodingalgorithmbasedon3dhybridtreeandvisualcharacteristics AT xianghaiwang scalablevideocodingalgorithmbasedon3dhybridtreeandvisualcharacteristics AT chuanmingsong scalablevideocodingalgorithmbasedon3dhybridtreeandvisualcharacteristics |