政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/32729

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/32729

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政大機構典藏 > 資訊學院 > 資訊科學系 > 學位論文 > Item 140.119/32729

請使用永久網址來引用或連結此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/32729

題名:	壓縮空間上非擬真視訊之製作
作者:	許富量 Hsu,Fu-Liang
貢獻者:	廖文宏 Liao,Wen-Hung 許富量 Hsu,Fu-Liang
關鍵詞:	非真實照片繪圖非真實照片繪圖動畫即時特效壓縮空間NPR動畫 NPR Real-time NPR NPR in the compressed domain
日期:	2004
上傳時間:	2009-09-17 14:09:04 (UTC+8)
摘要:	NPR(Non-photorealistic Rendering)主要目的是透過不同的演算法，由電腦自動產生各種不同繪畫風格的影像，目前的NPR系統礙於演算法的計算速度，多數都僅針對靜止的單一圖片進行處理，故本研究試圖對二維空間中已發展的NPR演算法做延伸，在空間領域以及MPEG壓縮領域上分別提出不同的加速效能方式。在空間方面針對不同的範圍套用NPR演算法，如臉部、膚色區塊等有意義的部份；而在MPEG壓縮格式上，透過MPEG中的I,P,B-frame不同的特性，視影像中的差異度做不同的套用方式，以求改進NPR演算法效能，達到即時產生NPR特效的影片或動畫，進一步應用於多媒體娛樂以及人機互動機制。 Recently, various non-photorealistic rendering (NPR) techniques have been developed for computers to generate images of different artistic styles automatically. Due to the complexity of the algorithms, however, most NPR methods are limited to the processing of static images. It is the objective of this thesis to extend and improve existing NPR techniques to enable near real-time processing of video. The enhancement can be achieved in both spatial and compressed domains. In the spatial domain, computational complexity is reduced by applying NPR only to selective regions in the images, e.g., face or skin area. In the MPEG compressed domain, by exploiting the relationship among I, P, and B frames, different strategies can be developed to increase the efficiency of the NPR algorithm. Experimental results have demonstrated the efficacy of the proposed methods and validated the near real-time creation of NPR video effects.
參考文獻:	[1] Sony EyeToy, URL: <http://www.eyetoy.com/> [2] Apple ToySight, URL: <http://toysight.com/> [3] DDplayCam, URL: <http://www.ddplaycam.tv/> [4] Stuart Green, Introduction to non-photorealistic rendering, SIGGRAPH 1999 Non-Photorealistic Rendering Course Notes, 15-18, Aug 1999. [5] Amy Gooch, Bruce Gooch, Peter Shirley, Elaine Cohen, A non-photorealistic lighting model for automatic technical illustration. Proceedings of the 25th annual conference on Computer graphics and interactive techniques, 447-452, 1998. [6] Cassidy J. Curtis, Sean E. Anderson, Joshua E. Seims, Kurt W. Fleischery, David H. Salesin, Computer-Generated Watercolor, Proceedings of the 24th annual conference on Computer graphics and interactive techniques, 421-430, August 1997. [7] Aaron Hertzmann, Painterly Rendering with Curved Brush Strokes of Multiple Sizes, Proceedings of the 25th annual conference on Computer graphics and interactive techniques,453-460, 1998. [8] Youngsup Parky and Kyunghyun Yoonz, Adaptive Brush Stroke Generation for Painterly Rendering, Proceedings of Eurographics 2004, 65-68, August, 2004. [9] Daniel Sperl, Realtime Painterly Rendering for Animation, Proceedings of SIGGRAPH 96,477- 484, 1996. [10] L. Markosian, M. Kowalski, S. Trychin, and J. Hughes, Real-Time Non-Photorealistic Rendering, Proceeding of SIGGRAPH 97, August 1997. [11] Barbara J. Meier, Painterly Rendering for Animation, Proceedings of the 23rd annual conference on Computer graphics and interactive techniques, 477-484, 1996. [12] Jue Wang, Yingqing Xu, Heung-Yeung Shum and Michael F. Cohen, Video Tooning, ACM Transactions on Graphics, Volume 23, Issue 3, August 2004. [13] Peter Litwinowicz, Processing Images and Video for An Impressionist Effect, Proceedings of SIGGRAPH 97, 407-414, August 1997. [14] Aaron Hertzmann Ken Perlin, Painterly Rendering for Video and Interaction, First International Symposium on NonPhotorealistic Animation and Rendering, 7-12, June 2000. [15] J. P. Collomosse1, D. Rowntree2 and P. M. Hall1.2003.Cartoon-style Rendering of Motion from Video. Vision, Video and Graphics,117-124, July 2003. [16] Byungmoon Kim and Irfan Essa, Video-based Nonphotorealistic and Expressive Illustration of Motion, CGI (Computer Graphics International) 2005. [17] Nelson S.-H. Chu Chiew-Lan Tai, Real-Time Ink Dispersion in Absorbent Paper, ACM Transactions on Graphics (SIGGRAPH 2005 issue), Vol. 24, No. 3, August 2005. [18] Michael Haller and Daniel Sperl.2004.Real-Time Painterly Rendering for MR Applications. Proceedings of the 2nd international conference on Computer graphics and interactive techniques in Australasia and Southe East Asia, 30-38, 2004. [19] NPR Examples： URL:<http://ise.stanford.edu/class/ee368a_proj00/project18/index.html> [20] Intel Open Source Computer Vision Library URL:<http://www.intel.com/research/mrl/research/opencv/> [21] Demo video WebSite URL:<http://140.119.164.91/liang/NPR.htm> [22] P. Viola and M. Jones.2001.Rapid object detection using a boosted cascade of simple features. Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, December, 2001. [23] JPEG Tutorial, URL:<http://www.imaging.org/resources/jpegtutorial/index.cfm> [24] Dali library, URL:<http://www.cs.cornell.edu/dali/> [25] MPEG Technology Overview, URL:<http://www.hongik.edu/~sjpark/mpeg.htm>
描述:	碩士國立政治大學資訊科學學系 92753034 93
資料來源:	http://thesis.lib.nccu.edu.tw/record/#G0927530341
資料類型:	thesis
顯示於類別:	[資訊科學系] 學位論文

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