跳到主要內容

簡易檢索 / 詳目顯示

研究生: 黃惇義
Dun-Yi Huang
論文名稱: 以XviD為基礎的電腦動畫視訊編解碼核心
A XviD-based Video Codec forComputer Animation
指導教授: 曾定章
Din-Chang Tseng
口試委員:
學位類別: 碩士
Master
系所名稱: 資訊電機學院 - 資訊工程學系
Department of Computer Science & Information Engineering
畢業學年度: 93
語文別: 中文
論文頁數: 68
中文關鍵詞: 影像壓縮
外文關鍵詞: mpeg4
相關次數: 點閱:4下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 在本論文中,我們提出一個針對電腦動畫的視訊編解碼核心。這個編解碼核心是以知名的MPEG-4 ASP (Advance Simple Profile) 視訊編解碼核心XviD為基礎。ASP定義了許多有用的視訊編碼工具;例如,4MV, UMC, QMC, GMC等。因此這裡所提出的視訊編解碼核心能夠達到比MPEG-1及MPEG-2標準更高的壓縮率。
    因為電腦動畫通常包含了較為強烈的高頻資訊,以及其色彩組成也較一般自然影像來的單純,在這個視訊編解碼核心中我們針對電腦動畫的特性加入了一些新的壓縮工具,主要包括一個新的壓縮方法及一些選擇壓縮方法的判斷法則。而本編解碼核心依據這些判斷法則來決定是否使用新的壓縮方法以提升畫質及壓縮率。
    使用於一般自然影像時,除了壓縮時間可能會些微增加外,本編解碼核心仍可保持和原本的XviD編解碼核心相同的高壓縮率及高畫質。


    In this thesis, a video codec for computer animation is proposed. The codec is based on a popular MPEG-4 ASP (Advance Simple Profile) video codec XviD. The ASP defines a lot of useful tools for video compression; for example, 4MV, UMC, QMC, GMC, etc. Thus, the proposed codec can achieve a high compression rate than that of MPEG-1 and MPEG-2 video compression standards achieve.
    In general, computer animation contains strong high frequency information and organized by simple color patterns; thus the proposed codec also includes several new compression tools to match the properties of computer animation compression. The compression tools mainly consist of a new compression method and several decision rules. The codec applies the new compression scheme according to the decision rules to improve both compression rate and visual quality.
    For natural videos, the compression time may slightly increase, but the codec maintains the compression rate and visual quality as the ordinary XviD codec.

    摘 要 I 誌 謝 II 目 錄 III 第一章 緒論 1 第二章 相關研究 2 第三章 I-VOP編碼 3 第四章 P-VOP編碼 4 第五章 VOP編碼方式抉擇 5 第六章 實驗 6 第七章 結論 7 英文版論文 8

    [1] Deutsch, P. and J-L. Gailly, RFC 1950 - ZLIB Compressed Data Format Specification, Version 3.3, Aladdin Enterprises, San Francisco, 1996.
    [2] Deutsch, P., RFC 1951 - DEFLATE Compressed Data Format Specification, Version 1.3, Aladdin Enterprises, San Francisco, 1996.
    [3] Fernando, W. A. C. and C. N. Canagarajah, “Scene adaptive video encoding for MPEG and H.263+ video,” IEEE Trans. Consumer Electronics, vol.47, no.4, pp.760-769, 2001.
    [4] International Organization for Standardization, ISO/IEC 11172-2, Information technology - Coding of Moving Pictures and Associated Audio for Digital Storage Media at up to about 1.5Mbit/s: Part 2: Video, 1993.
    [5] International Organization for Standardization, ISO/IEC 13818-2, Information technology - Generic Coding of Moving Pictures and Associated Audio Information: Part 2: Video, 1995.
    [6] International Organization for Standardization, ISO/IEC 14496-2, Information Technology - Coding of Audio-Visual Objects: Part 2: Visual, 2001.
    [7] International Organization for Standardization, ISO/IEC 15948:2004, Information technology - Computer Graphics and Image Processing - Portable Network Graphics (PNG): Functional specification, 2004.
    [8] International Telecommunication Union (ITU), ITU-T Recommendation H.263: Video Coding for Low Bit-rate Communication, 1996.
    [9] Kosaraju, S. R. and G. Manzini, “Some entropic bounds for lempel-ziv algorithms,” in Proc. DCC ''97, Snowbird, UT, Mar.25-27, 1997, pp.446.
    [10] Lan, A. Y., A. G. Nguyen, and J.-N. Hwang, "Scene-context-dependent reference-frame placement for MPEG video coding," IEEE Trans. Circuits and Systems for Video Technology, vol.9, no.3, pp.478-489, 1999.
    [11] Oguz, S. H., Y. H. Hu, and T. Q. Nguyen, "Image coding ringing artifact reduction using morphological post-filtering," in Proc. Multimedia Signal, Redondo Beach, CA, Dec.7-9, 1998, pp.628-633.
    [12] Tourapis, A. M., O. C. Au, and M. L. Liou, “Predictive motion vector field adaptive search technique (PMVFAST) - enhancing block based motion estimation,” in Proc. Visual Communications and Image Processing Conf., vol.4310, San Jose, CA, 2001, pp. 883-892.
    [13] Tourapis, A. M., “Enhanced predictive zonal search for single and multiple frame motion estimation,” in Proc. Visual Communications and Image Processing Conf., vol.4671, San Jose, CA, 2002, pp. 1069-1079.
    [14] Yoneyama, A., Y. Nakajima, H. Yanagihara, and M. Sugano, “MPEG encoding algorithm with scene adaptive dynamic GOP structure,” in Proc. 3rd Workshop Multimedia Signal Processing, Copenhagen, Denmark, Sep.13-15, 1999, pp.297-302.
    [15] Ziv, J. and A. Lempel, “A universal algorithm for sequential data compression,” IEEE Trans. Information Theory, vol.23, no.3, pp.337-343, 1977.
    [16] AVI Synth official homepage - Documentation, http://www.avisynth.org/Compare
    [17] Libpng official homepage - Documentation, http://www.libpng.org/pub/png/libpng.html
    [18] Windows Multimedia SDK Documentation – Video for Windows, http://msdn.microsoft.com/library/en-us/multimed/htm/_win32_video_for_windows.asp
    [19] XviD official homepage - Documentation , http://www.xvid.org/index.php
    [20] Zlib official homepage - Documentation, http://www.zlib.net/advisory-2002-03-11.txt

    QR CODE
    :::