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博碩士論文 etd-0831104-083913 詳細資訊
Title page for etd-0831104-083913
論文名稱
Title
應用光流於立體視訊壓縮
Applying Optical Flow to Stereo Video Compression
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
61
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2004-07-29
繳交日期
Date of Submission
2004-08-31
關鍵字
Keywords
光流、立體視訊、嵌入式零樹小波
embedded zerotree wavelets, tereo video, optical flow
統計
Statistics
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中文摘要
由於立體影片有著高品質的視覺效果,近幾年來,關於這方面的研究課題已受到許多的重視。然而,如何處理與儲存龐大的資料容量,為立體視訊應用的問題之一,本論文探討研究如何利用小波壓縮的技術來處理此問題。
立體視訊的視差之間會存在著許多相似的資料,本文利用動態補償技術的光流方法來計算找出這相似的資料。此光流方法是Horn and Schunck 所提出,最早在電腦視覺領域中,做為偵測物件移動的應用。在本文我們想利用光流方法來壓縮立體影片視差之間的相似資料,另外,在許多的研究可知,利用小波轉換的技術可以成功得到多尺度的模型。因此,我們應用小波轉換和零樹技術來壓縮光流。最後實驗結果證明在不同的狀況下,會得到不同的壓縮效果。
Abstract
The topic of stereo video is getting more attention among these days due to its high quality of visual effect. However, the large volume of data is the problem of its application. The topic of this thesis is to investigate a compression technique by Wavelet compression on the stereo video data.
There is much similarity between the parallax videos. This similarity is obtained by a motion compensation technique: the optical flow computing. Optical flow proposed by Horn and Schunck was originally developed in the field of computer vision for the application of moving detection. In this thesis we apply the optical flow to compress the similarity information between the parallax stereo video. On the other hand, the Wavelet transformation has been proved to be a successful technique for multiscale modeling. We therefore applying the Wavelet transform combined with the zerotree compression to compress the fields of optical flow. Experimental results in this thesis have demonstrated different effects in different situations.
目次 Table of Contents
目 錄
第 ㄧ 章 引言...............................1
第 二 章 MPEG動態影像壓縮的原理............4
2-1 MPEG簡介......................4
2-2 MPEG的視訊壓縮原理............6
第 三 章 光流之基本原理....................12
3-1 簡介.....................,....12
3-2 光流之基本定理................12
3-2-1 光流的定義..................12
3-2-2 理論基礎....................15
3-2-3 計算法則...................18
3-2-4 光流的梯度求法.............22
第 四 章 嵌入式零樹小波影像壓縮法..........24
4-1 簡介..........................24
4-2 小波轉換之基本定理............24
4-3 Zerotree之基本定理..........29
第 五 章 立體成像原理介紹..................39
5-1 簡介..........................39
5-2 透視轉換立體成像原理..........39
第 六 章 系統實作..........................44
6-1 簡介..........................44
6-2 製作右眼序列預測圖............45
6-3 右序列影像編碼...............47
6-4 右序列影像解碼...............48
6-5 製作立體影像.................49
第 七 章 實驗結果與分析....................50
7-1 簡介..........................50
7-2 製作立體影像編解碼過程........51
7-3 實驗結果與討論................55
第 八 章 結論..............................59
參考文獻 References
[1].Pierre Moulin ,Ravi Krishnamurthy, and John W. Woods, ”Multiscale modeling and estimation of motion field for video coding”, IEEE transaction on image process, VOL. 6, NO 12
[2].T.M.Shpiro,〝Embedded image coding using zerotrees of wavelet coefficients,〞IEEE Trans. on Signl Processing,41(12),1933,pp.3445-3462.
[3].Sabine Randriamasy-Andre Gagalowicz”Direct cooperation between region-based stereo matching and top-down segmentation”
[4].Luo Yan, Zhang Zhaoyang, and An Ping “Stereo Video Coding Based on Frame Estimation and Interpolation” IEEE TRANSACTIONS ON BROADCASTING, VOL. 49, NO. 1, MARCH 2003
[5].B.G. Schunck,〝Image flow : Fundamentals and algorithm〞,in motion Understanding : Robot and Human Vision,W.N.Martin and J . K . Aggarwal ,Eds . Norwell,MA : Kluwer Academic Publishers,1988。
[6].J . K . Aggarwel,L .S .Davis,and W. N. Martin,〝Correspondence processes in dynamic scence analysis,〞 Proc.IEEE,vol.69,no.6,pp.562-572,May 1981。
[7].J. Q. Fang and T. s. Huang ,〝Some exeperiments on estimating the 3-D motion parameters of a rigid body from two consecutive image frames,〞IEEE Trans. Pattern Anal。Machine Intell. Vol.PAMI-6,pp.545-554,Sept.1984。
[8].S. Ranade and A. Rosenfeld,〝Point pattern matching by relaxation,〞Pattern Recognition,vol. 12,pp. 269-275,1980。
[9].Gibson, J ,J.,on the analysis of change in the optic array , Scandinavian J.Psychol.18(1977)161-163。
[10].Nakayama,K.and Loomis,J.M.,Optical velocity patterns , velocity-sensitive neurons and space perception,Perceptrion3(1974) 63-80。
[11].A. Said and W. A. Pearlman,”A new,fast,and efficient image codec based on set partitioning in hierachical trees,” IEEE Trans. On Circuit System for Video Technology,6(3), pp.243-250
[12].T.Lane,〝Independent JPEG Group’s Free JPEG Software,〞1991.
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