跳到主要內容

臺灣博碩士論文加值系統

(44.197.230.180) 您好!臺灣時間:2022/08/20 10:07
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:方俊弘
研究生(外文):Jiun-Hung Fang
論文名稱:應用矩量保持技術於低速率視訊壓縮之研究
論文名稱(外文):A Study of Low-Bit-Rate Video Coding Using Moment-Preserving Technique
指導教授:鄭錫齊鄭錫齊引用關係
指導教授(外文):Shyi-Chyi Cheng
學位類別:碩士
校院名稱:國立高雄第一科技大學
系所名稱:電腦與通訊工程所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:113
中文關鍵詞:物件切割視訊壓縮視訊切割物件追蹤形狀描述
外文關鍵詞:Shape DescriptionVideo SegmentationObject SegmentationVideo CompressionObject Tracking
相關次數:
  • 被引用被引用:2
  • 點閱點閱:110
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
隨著通訊網路的快速發展,網路上的文件已經由文字資料變成了多媒體資料,為了有效利用最少的資料與傳輸頻寬,使有限的網路頻寬可以服務更多的使用者,先進的低速率視訊壓縮技術是絕對必要的,而物件的萃取是這類演算法的關鍵技術之一。
本論文採用一利用矩量保持的原理來偵測方塊內線邊方程式的方法,運用到空間上的物件切割,首先切割影像為一群不重疊的4x4區塊,利用矩量保持原理抽取出每一區塊的線邊資訊結合區域成長法,畫面會被切割成若干均勻的區域,然後利用影像點在時間上的值的變化,本論文結合動態估測以及改變偵測的結果把前述的區域區分為移動區域及非移動區域,並聚集移動區域為前景物件,以達到物件的萃取。在萃取出視訊序列中的物件後,為了追蹤該物件於此視訊序列內的變化情形,本論文將物件的邊緣資訊經由Generalized Hough Transform( GHT )轉換成一樣版,再利用該樣版與下一張畫面內的邊緣資訊計算出物件的移動量,藉以追蹤物件的移動情形。另外,針對物件式的低速率視訊壓縮系統,本論文將矩量保持邊緣偵測方法的結果資訊,簡化為若干不同型態的樣式圖案,並根據這些樣式圖案提出一個形狀編碼及加速動態估測的方法,內容編碼部份則採用傳統DCT的方式。
實驗證明,本論文所提出之方法,可應用於物件式的低速率視訊壓縮系統,並達到提高壓縮率及加快處理速度的目的,跟傳統的方法比較,本論文所提出的方法,在不損失原本的品質下又能提昇處理的速度。
In this thesis, a new Mpeg-4-like low-bit-rate video coding based on an analytical moment-preserving edge detection technique is proposed. The first frame of each video sequence is divided into non-overlapping square blocks and coded by the mean (edge parameters) in each uniform (non-uniform) block. The coded edges are then combined with the region-growing technique to segment the image into several objects (regions) which shapes are approximated by the proposed shape-description algorithm. The segmented objects are then classified into moving and still objects according to the motion features and change differences of objects between two successive frames. The moving objects in the aggregate are called as the foreground objects of the sequence.
Based on the object templates, which are constructed by the generalized Hough transform, the objects on the successive frames are tracked by employing the detected edge patterns into the templates to compute the motion vectors of each object. The motion compensation and the texture coding are then followed to complete the design of the proposed low-bit-rate video coding method. Furthermore, by simplifying the detected edge blocks into visual patterns, a fast block-based motion estimation on the basis of visual pattern comparison is also proposed in this thesis.
Experimental results show that the proposed algorithm has acceptable performance in terms of compression quality and execution speed compared with existing methods.
項   目
中文摘要--------------------------------------------------i
英文摘要--------------------------------------------------ii
誌謝--------------------------------------------------iv
目錄--------------------------------------------------v
表目錄--------------------------------------------------viii
圖目錄--------------------------------------------------ix
一、緒論----------------------------------------------1
1.1背景說明------------------------------------------1
1.2研究動機------------------------------------------4
1.3研究目的------------------------------------------6
1.4論文架構------------------------------------------7
二、文獻探討------------------------------------------9
2.1MPEG-4標準----------------------------------------9
2.1.1視訊壓縮部份的標準--------------------------------10
2.2矩量保持理論之理論之相關文獻探討------------------14
2.3物件切割的相關文獻探討----------------------------18
2.4形狀描述的相關文獻探討----------------------------19
2.4.1位元圖形狀編碼------------------------------------20
2.4.2輪廓形狀編碼--------------------------------------28
2.5物件追蹤的相關文獻探討----------------------------30
三、視訊序列之物件切割、追蹤及形狀描述方法設計---------31
3.1矩量保持邊緣偵測方法設計--------------------------33
3.2結合線邊偵測及區域成長方法於空間上物件切割--------41
3.2.1利用c-mean方法進行影像量化------------------------41
3.2.2利用區域成長(region-growing)法來切割出物件--------43
3.3配合視訊序列時間上的資訊做物件切割----------------46
3.3.1動態估測法----------------------------------------47
3.3.2改變偵測法----------------------------------------51
3.3.3運用時間上的資訊協助空間上物件的切割--------------52
3.4物件追蹤------------------------------------------54
3.5物件形狀描述--------------------------------------60
四、實現一以物件為主的低速率視訊壓縮系統--------------67
4.1系統架構------------------------------------------67
4.2物件萃取部份之設計--------------------------------69
4.3物件追蹤部份之設計--------------------------------69
4.4形狀編碼部份之設計--------------------------------69
4.5動態估測及補償部份之設計--------------------------70
4.6內容編碼部份之設計--------------------------------74
五、實驗結果與分析------------------------------------79
5.1物件切割方法之實驗結果----------------------------79
5.2物件追蹤方法之實驗結果----------------------------86
5.3物件形狀描述方法之實驗結果------------------------90
5.4應用於以物件為主的低速率視訊壓縮系統--------------101
六、結論----------------------------------------------109
參考文獻--------------------------------------------------110
[1]Video Group, “MPEG-4 video verification model version 16.0,” ISO/IECJTCI/SC29/WG11/N3312, Shigeru Fukunaga, Yuichiro Nakaya, Mar. 2000.[2]T. Sikora, “The MPEG-4 video standard verification model,” IEEE Trans. Circuits Syst. Video Technol., vol. 7, pp. 19—31, Feb. 1997.[3]Katsaggelos, A.K., Kondi, L.P., Meier, F.W., Ostermann, J., Schuster, G.M., “MPEG-4 and rate-distortion-based shape-coding techniques,” Proceedings of the IEEE Vol. 86, June1998 , pp. 1126 —1154[4]ISO/IEC JTC1/SC29/WG11,”MPEG-4 requirements document─Second draft”, Doc. N0711r2, July 1994.[5]E. J. Delp and O. R. Mitchell," Image compression using block truncation coding", IEEE Trans. Commun., 27, 1335-1341 (1979).[6]A. J. Tabatabai and O. R. Mitchell, "Edge location to subpixel values in digital imagery", IEEE Trans. Pattern Anal. Mach. Intell., 6, 188-201 (1984).[7]W. H. Tsai," Moment preserving thresholding: A new approach", Comput. Vis., Graph., Image Process., 377-393 (1984).[8]A. K. Jain, "Fundamentals of Digital Image Processing. Englewood Cliffs", NJ: Prentice-Hall (1991).[9]S. C. Pei and C. M. Cheng, "Color image processing by using binary quaternion-moment-preserving thresholding technique", IEEE Trans. Image Process., 8, 614-628 (1999).[10]ISO/IEC JTC1/SC29/WG11, “Short MPEG-1 description”, Doc. June 1996[11]ISO/IEC JTC1/SC29/WG11, “Short MPEG-2 description”, Doc. October 2000[12]李長龍,”MPEG-1與MPEG-2視訊壓縮編碼標準之差異”,電子月刊第二卷第八期[13]N. Brady, F. Bossen, and N. Murphy, “Context-based arithmetic encode of 2D shape sequences,” Special Session on Shape Coding, ICIP 97, Santa Barbara, CA, 1997.[14]Zhang, H. J., Low, C. Y., Smoliar, S. W., and Wu, J. H., “Video Parsing, Retrieval and Browsing:An Integrated and Content-Based Solution,” Proc. of ACM on Multimedia, Nov. 1995, ACM Press, pp.15-24.[15]Chua, T. S., and Ruan, L. Q., “A Video Retrieval and Sequencing System,” Proc. of ACM Trans on Information Systems, Vol. 13, No. 4, Oct. 1995, pp373-407.[16]Auguierre-Smith, T. G., and Pincever, N. C., “Parsing-Movies in Context,” In Proc. OfUSENIX, USENIX Assoc., Summer 1991, pp.157-168.[17]J. D. Courtney, “Automatic Video Indexing via Object Motion Analysis,” Pattern Recognition. Vol. 30, No. 4, 1997, pp.607-625.[18]S.F. Chang, W. Chen, H.J. Meng, H. Sundaram, and D. Zhong, “A Fully Automated Content-Based Video Search Engine Supporting Spatiotemporal Queryies,” Proc. of IEEE Transactions on Circuits and Systems for Video Technology, Vol. 8, No 5, 1998, pp.602-615.[19]Nagasaka, A., and Y. Tanaka, “Automatic Video indexing and Full-Video Search for Object Appearances,” Visual Database Systems, II, E. Kunth and L. M. Wegner, Editors, North-Holland, 1991, pp.119-133.[20]W. Tsai, “Moment-preserving thresholding : A new approach,” Comput. Vision Graphics and Image Process. 29, 1985, pp.377-393.[21]徐華聲, 矩量不變邊緣偵測及其於影像資料壓縮之應用(Moment-Preserving Edge Detection And Its Application To Image Data Compression), 國立交通大學資訊工程研究所碩士論文, 民國七十九年六月。[22]馮壽元, 用矩量保持原理及線性邊緣特徵作動態影像壓縮(Dynamic image compression using line edge features by moment-Preserving technique), 國立交通大學資訊科學研究所碩士論文,民國八十二年六月。[23]G. Gu, T. Ebrahimi, M. Kunt, “Morphological Moving Object Segmentation and Tracking for Content-based Video Coding” , Multimedia Communication and Video Coding, Plenum Press, New York, 1996.[24]J. G. Choi, Y.-K. Lim, M. H. Lee, G. Bang, J. Yoo, Automatic segmentation based on spatio-temporal information, ISO IEC JTC1/SS29/W11 MPEG95/M1284, Sept 1996.[25]N. Yamaguchi, T. Ida, and T. Watanabe, “A binary shape coding method using modified MMR,” in Proc. Special Session on Shape Coding, ICIP97, Santa Barbara, CA, 1997, pp. I-504—508.[26]K. J. O ’Connell, ”Object-adaptive vertex-based shape coding method”, IEEE Trans. On Circuits and Systems for Video Technology, Vol.7, No.1, pp.251-255, 1997.[27]R. J. Qian and M. I. Sezan, "Content-Scalable Shape Representation and coding",Vol.2, No.641, pp.819-823, ICIP 1997.[28]F. W Meier, G. M. Schuster, and A. K. Katsaggelos, " An efficient boundary encoding scheme which is optimal in the rate-distortion sense, " in Proc. Int. Conf. Image Processing, Santa Barbara, CA, pp. II-9-12, 1997.[29]J. Kim and B. L. Evans, "Predicitive shape coding using generic polygon approximation, "in Proc. ISCAS''98. Monterrey, CA, to be published.[30]C. C. Lu and J. G. Dunham, “Highly efficient coding schemes for contour lines based on chain code representations,” IEEE Transactions on Communications.Vol.39, No10, pp.1511-1514, October 1991.[31]P. Nunes, F. Pereira, and F. Marques," Multi-grid chain coding of the binary shapes," in Proc. Special Session on Shape Coding, ICIP''97, Santa Barbara, CA, pp.114-117, 1997.[32]T. Chen, C. Swain, and B Haskell, “Coding of sub-regions for content-based scalable video,” IEEE Trans. Circuits Syst. Video Technol., vol. 7, pp. 256— 260, Feb. 1997.[33]Yuh-Horng Yang and Kuo-Liang Chung, Yao-Hong Tsai, “A compact improved quadtree representation with image manipulations,” Image and Vision Computing, Vol.18, No.3, pp.223-231, February 2000.[34]Mei-Juan Chen and Chil-Cheang Ma, “Quadtree-based shape coding algorithm for MPEG- 4", IS&T/SPIE’s 12th Annual Symposium, Electronic Imaging, San Jose, U.S.A., January 2000.[35]Mei-Juan Chen; Yua n-Pin Hsieh; Yu-Pin Wang. “ Multi-resolution shape coding algorithm for MPEG-4,” IEEE Consumer Electronics,Transactions on Volume: 46 3, page(s): 505-513, Aug. 2000.[36]Mason, M.; Duric, Z.,”Using histograms to detect and track objects in color video”, Applied Imagery Pattern Recognition Workshop, AIPR 2001 30th , pp.154 —159, 2001[37]Changick Kim; Jenq-Neng Hwang,”Fast and automatic video object segmentation and tracking for content-based applications“, IEEE Trans. Circuits Syst. Video Technol. Vol. 12,pp.122 —129, Feb. 2002 [38]Werner, M.; von Seelen, W., ”Using order statistics for object tracking”, Intelligent Transportation System, 1997. ITSC ''97., IEEE Conference on , 1997 pp. 712 -716[39]Chuang Gu; Ming-Chieh Lee, ”Semantic video object tracking using region-based classification”, Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on , Vol. 3 , pp.643 —647 1998[40]J. Canny, “A Computation Approach to Edge Detection”, IEEE Trans. On Pattern Analysis Machine Intell. Vol. 8 No. 6, pp. 679-698, 1986.[41]T. Meier, and K. N. Ngan, “Video Segmentation for Content-Based Coding”, IEEE Trans. Circuits. Systems. Video Technology, VOL. 9,NO 8, pp. 1190-1203, DECEMBER 1999.[42]劉連寬, 以矩量不變技術切割物件及其在視訊索引之應用, 國立高雄第一科技大學電腦與通訊工程系研究所碩士論文,民國九十年六月。[43]Kaup, A., ”Object-based texture coding of moving video in MPEG-4”, IEEE Trans. Circuits Syst. Video Technol., vol.9, pp. 5-15, Feb. 1999.[44]Signal Processing and Multimedia Lab.-University of British Columbia, ”TMN (H.263) encoder, Version 2.0”, June 1997.[45]Cheung, W.-F.; Chan, Y.-H, “Improving MPEG-4 coding performance by jointly optimising compression and blocking effect elimination”, IEEE Trans. On Vision, Image and Signal Processing, Vol. 148, No.3, pp.194-201, June 2001[46]Dae-Sung Cho and Rae-Hong Park, “Object-Based Very Low Bit-Rate Coding Using Motion Parameter Estimation Based on Multiple Frame Prediction”, IDEAL Journal of Visual Communication and Image Representation 10, pp.291-305, March 1999.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊