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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Main Authors: Ming-zhe FU, Xiang-hai WANG, Chuan-ming SONG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2012-11-01
Series:Tongxin xuebao
Subjects:
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.
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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