Rate Control Algorithm for Multi-view Video Coding Using Visual Perception Based Stereo Video Analysis
碩士 === 國立暨南國際大學 === 電機工程學系 === 99 === Currently, thanks for the development of video technology, the major topic of TV change from 2D to 3D. Compare to the traditional 2D video contents and 3D video contents, that need view content for 2D video and at least two or more than views for 3D video, respe...
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ndltd-TW-099NCNU04421112015-10-13T20:09:14Z http://ndltd.ncl.edu.tw/handle/52680594819813671884 Rate Control Algorithm for Multi-view Video Coding Using Visual Perception Based Stereo Video Analysis 基於視覺感知的影像分析原理應用於立體視訊編碼之位元率控制 Yu-Cheng Lai 賴宥成 碩士 國立暨南國際大學 電機工程學系 99 Currently, thanks for the development of video technology, the major topic of TV change from 2D to 3D. Compare to the traditional 2D video contents and 3D video contents, that need view content for 2D video and at least two or more than views for 3D video, respectively. Huge information of 3D video contents causes the awkward situation during data compression and data transmission. To solve the problem, Joint Video Team (JVT) proposes a coding method that utilizes the content-similar relationship between neighboring views to increase the efficiency of multi-view video coding (MVC). Therefore, rate control (RC) algorithm is the key technique to tradeoff data compression ratio and video quality of 3D video. To control the bit-rate efficiently, considering video quality and compression ratio, the proposed algorithm utilizes the characteristic of visual perception theory from the analysis of 3D video that the region with high motion and individual object feature are interesting to viewer. Based on the concept, the proposed rate control algorithm gives the high bit-rate at the interesting region for preserve the image quality, decreases the image quality at the region of non-interesting for saving the bit-rate. The proposed algorithm determines interesting region with high motion feature by using the relationship between luminance difference and Just Noticeable Distortion (JND) function at the current and reference macro-block (MB). To enhance the ability of describing motion feature, the proposed algorithm uses luminance histogram bin variation of the two MBs to describe low motion feature, edge strength (ES) describes the object with individual shape and obvious texture. By the interesting region determination, the rate-control algorithm is used by quantization parameter (QP) defining to control bit-rate at different levels of interesting region. Simulation result of “PSNR of similar bit-rate” shows the proposed algorithm has better image quality than JMVC at the interesting region with high motion feature that increase 0.86dB of PSNR and save 2.5(bit/MB) at the non-interesting region. Pei-Jun Lee 李佩君 2011 學位論文 ; thesis 73 zh-TW |
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碩士 === 國立暨南國際大學 === 電機工程學系 === 99 === Currently, thanks for the development of video technology, the major topic of TV change from 2D to 3D. Compare to the traditional 2D video contents and 3D video contents, that need view content for 2D video and at least two or more than views for 3D video, respectively. Huge information of 3D video contents causes the awkward situation during data compression and data transmission. To solve the problem, Joint Video Team (JVT) proposes a coding method that utilizes the content-similar relationship between neighboring views to increase the efficiency of multi-view video coding (MVC). Therefore, rate control (RC) algorithm is the key technique to tradeoff data compression ratio and video quality of 3D video.
To control the bit-rate efficiently, considering video quality and compression ratio, the proposed algorithm utilizes the characteristic of visual perception theory from the analysis of 3D video that the region with high motion and individual object feature are interesting to viewer. Based on the concept, the proposed rate control algorithm gives the high bit-rate at the interesting region for preserve the image quality, decreases the image quality at the region of non-interesting for saving the bit-rate.
The proposed algorithm determines interesting region with high motion feature by using the relationship between luminance difference and Just Noticeable Distortion (JND) function at the current and reference macro-block (MB). To enhance the ability of describing motion feature, the proposed algorithm uses luminance histogram bin variation of the two MBs to describe low motion feature, edge strength (ES) describes the object with individual shape and obvious texture. By the interesting region determination, the rate-control algorithm is used by quantization parameter (QP) defining to control bit-rate at different levels of interesting region.
Simulation result of “PSNR of similar bit-rate” shows the proposed algorithm has better image quality than JMVC at the interesting region with high motion feature that increase 0.86dB of PSNR and save 2.5(bit/MB) at the non-interesting region.
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author2 |
Pei-Jun Lee |
author_facet |
Pei-Jun Lee Yu-Cheng Lai 賴宥成 |
author |
Yu-Cheng Lai 賴宥成 |
spellingShingle |
Yu-Cheng Lai 賴宥成 Rate Control Algorithm for Multi-view Video Coding Using Visual Perception Based Stereo Video Analysis |
author_sort |
Yu-Cheng Lai |
title |
Rate Control Algorithm for Multi-view Video Coding Using Visual Perception Based Stereo Video Analysis |
title_short |
Rate Control Algorithm for Multi-view Video Coding Using Visual Perception Based Stereo Video Analysis |
title_full |
Rate Control Algorithm for Multi-view Video Coding Using Visual Perception Based Stereo Video Analysis |
title_fullStr |
Rate Control Algorithm for Multi-view Video Coding Using Visual Perception Based Stereo Video Analysis |
title_full_unstemmed |
Rate Control Algorithm for Multi-view Video Coding Using Visual Perception Based Stereo Video Analysis |
title_sort |
rate control algorithm for multi-view video coding using visual perception based stereo video analysis |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/52680594819813671884 |
work_keys_str_mv |
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