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博碩士論文 etd-0629101-144047 詳細資訊
Title page for etd-0629101-144047
論文名稱
Title
雞尾酒式搜尋法(CTS):一種用於視訊壓縮上的新動態估測演算法
CockTail Search (CTS) for Video Motion Estimation
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
46
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
2001-06-08
繳交日期
Date of Submission
2001-06-29
關鍵字
Keywords
動態估測、視訊壓縮、雞尾酒式搜尋法
CockTail Search, Motion Estimation, Video Compression
統計
Statistics
本論文已被瀏覽 5659 次,被下載 2830
The thesis/dissertation has been browsed 5659 times, has been downloaded 2830 times.
中文摘要
在視訊壓縮的議題中,若是使用動態估測的技術去壓縮視訊畫面間的影像資訊,最重要的要求是要能有效且快速的計算出移動補償資訊,如此才能進一步的契合現今的網路視訊應用,例如視訊會議系統或是隨選視訊系統。本論文提出一個應用在動態估測技術中新的快速搜尋演算法,名為雞尾酒搜尋法。這樣的稱呼是因為所提出的新方法是匯集前人所提出的數個有用的想法,並且提出新的設計去積極地改善原本存在的問題,這使得此法不但能夠獲取既有的效果,更能夠因為既存問題的改善,而在效能和速度上獲得更多的增益。實驗結果顯示此雞尾酒搜尋法確實能夠更快速的得出較精確的移動補償資訊。
Abstract
The performance and speed of the interframe motion estimation method for sequencial frame sequence compression are the important issues especially in networking application such as video conference and video on demand. In this paper, we proposed a new fast search algorithm for motion estimation on block matching technique called the cocktail search algorithm (CTS). This new algorithm takes advantages of prior search algorithms proposed in the literature and improves at our observations. The experiment results show that the proposed CTS algorithm can provide the better performance and require less computational costs than others. In other words, the CTS can obtain the accurate motion vector efficiently and fast. The fruitful results is achieved by not only holding the original benefit but also constructively improving the existing drawbacks.
目次 Table of Contents
Contents Page
Abstract……………………………………………………..………………………… i
List of Figures………………………………………………………………………… iii
List of Tables…………………………………………………………………………. iv
1. Introduction……………………………………………………………………… 1
1.1 Motivation and Recent Related Research…………………………………… 1
1.2 Summary of the Thesis……………………….……....….………………….. 3
1.3 Organization of the Thesis…………………….….…………………………. 3
2. Block Matching Motion Estimation……………….……………………………. 4
2.1 Motion Estimation Technique………………….………………....………… 4
2.2 Several Existing Search Algorithms for Block-Matching
2.2.1 Full Search Algorithm…………………….……….…………………. 7
2.2.2 Uniform Search Algorithm……………….……….………………….. 9
2.2.3 Center-Biased Search Algorithms……………………………………. 12
2.2.4 Minima Bounded Area Search Algorithm……………………………. 22
2.2.5 Speed Up Methods………………………….….……………...….…. 23
3. The CockTail Search Algorithm
3.1 Our new observation………….…………………..………………………… 28
3.2 The CockTail Search Algorithm………………..….……....……………….. 31
4. Simulation Results and Comparisons……………………….…….……………… 38
5. Conclusion and Further Research…………………….…….……………………. 44
Bibliography……………………………………………….………………………….. 45
參考文獻 References
Bibliography
[1] T. Koga, K. Iinurna, A. Hirano, Y. Iijima, and T. Ishiguro, “Motion-compensated interframe coding for video conferencing,” in Proc. NTC 81, pp. C9.6.1-9.6.5, New Orleans, LA, Nov./Dec. 1981.
[2] Reoxiang Li; Bing Zeng; Liou, M.L., ”A new three-step search algorithm for block motion estimation,” IEEE Trans. Circuits Syst. Video Technol., Vol. 4, pp. 438-442, Aug. 1994.
[3] L. M. Po and W. C. Ma, ”A novel four-step search algorithm for fast block motion estimation,” IEEE Trans. Circuits Stst. Video Tcehnol., vol. 6, pp. 313-317, June 1996.
[4] J. Y. Tham, S. Ranganath, M. Ranganath, and A. A. Kassim, “A novel unrestricted center-biased diamond search algorithm for block motion estimation,” IEEE Trans. Circuits Syst. Video Technol., vol. 8, pp. 369-377, Aug. 1998.
[5] Christopoulos, V.; Cornelis, J., “A center-biased adaptive search algorithm for block motion estimation,” IEEE Trans. Circuits Syst. Video Technol., vol. 10, pp. 423-426, Apr. 2000.
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[7] X. Q. Gao, C. J. Duanmu, and C.R. Zou, “A multilevel successive elimination algorithm for block matching motion estimation,” Image Processing, vol. 9, pp. 501-504, Mar. 2000.
[8] I. Ismaeil, A. Docef, F. Kossentini, and R. Ward, “Efficient motion estimation using spatial and temporal motion vector prediction,” in Proc. ICIP 99, pp. 70-74, Oct. 1999.
[9] L. Luo, C. Zou, X. Gao, and Z. He, “A new prediction search algorithm for block motion estimation in video coding,” IEEE Trans. Consumer Electron., vol. 43, pp. 56-61, Feb. 1997.
[10] J. M. Jou, P. Y. Chen, and J. M. Sun, “The gray prediction search algorithm for block motion estimation,” IEEE Trans. Circuits Syst. Video Technol., vol. 9, pp. 843-848, Sept. 1999.
[11] C. Cafforio and F. Rocca, “Methods for measuring small displacements of television images,” IEEE Trans. Inform. Theory, vol. IT-22, no.5, pp. 573-579, Sept. 1976
[12] ISO/IEC CD 11172-2 (MPEG-1 Video), “Information technology—Coding of moving pictures and associated audio for digital storage media at up to about 1.5 Mbits/s: Video,” 1993.
[13] ISO/IEC CD 13818-2—ITU-T H.262 (MPEG-2 Video), “Information technology—Generic coding of moving pictures and associated audio information: Video,” 1995.
[14] CCITT SGXV, “Description of reference model 8 (RM8),” Document 525, Working Party XV/4, Specialists Group on Coding for Visual Telephony, June 1989.
[15] ITU Telecommunication Standardization Sector LBC-95, Study Group 15, Working Party 15/1, Expert’s Group on Very Low Bitrate Visual Telephony, from Digital Video Coding Group, Telenor Research and Development, or via URL: “http://www.nta.no/brukere/DVC/tmn5.”

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