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研究生:王志煌
研究生(外文):Jhih-Huang Wang
論文名稱:運用色彩圖譜描元的影像檢索技術
論文名稱(外文):Video Retrieval Based on Color Center Descriptor
指導教授:劉遠楨劉遠楨引用關係
指導教授(外文):Yuan-Chen Liu
學位類別:碩士
校院名稱:國立台北師範學院
系所名稱:自然科學教育研究所
學門:教育學門
學類:普通科目教育學類
論文種類:學術論文
論文出版年:2005
畢業學年度:93
語文別:英文
論文頁數:35
中文關鍵詞:影片檢索多媒體內容描述介面MPEG-7
外文關鍵詞:video retrievalMultimedia Content Description InterfaceMPEG-7
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曾有研究以全數位課程資源(full-digital course material)系統中的電視節目及影片片段提供教師教學或學生學習時利用。研究後發現,這樣的系統對學生在概念的學習和學習態度上都有顯著的幫助。而隨著資訊科技的進步,影片的品質與方便性不斷地提昇,影片資料庫越來越龐大,隨之而來的問題便是如何從龐大的影片資料庫中找到適合的影片片段。近來所制定的多媒體內容描述介面( Multimedia Content Description Interface ) MPEG-7標準,即是用來描述影像、聲音、影片等多媒體內容的資訊。其中,在色彩內容描述方面,運用了色彩圖譜( Color Histogram )來作為描述影片內容的描元( Descriptor )。本研究中提出一個新的描元,運用物理學上質心的概念,改進色彩圖譜未能考慮到色彩空間上分布情形的缺點,來提高影片檢索的效能。研究結果顯示,本研究所提出的方法在影片檢索方面較過去研究所提的方法有更佳的檢索效能。
In the previous paper, a fully digital course material was designed to combine the TV programs and video database distributed through the internet, and real activities conducted at each class. This research found that children’s learning promoted through the course. With the rapid development of internet technology, the amount of video is getting larger and larger. It is necessary for human beings using an efficient retrieval tool to find out the video we need. Mpeg-7, formally named “Multimedia Content Descriptor Interface”, provides a comprehensive set of audiovisual Descriptor Tools to extract feature from audiovisual content and describe audiovisual information. And color histogram is used to describe the color feature of videos. A new descriptor with the concept of mass center in Physics is proposed in this paper to promote the performance of video retrieval. The experiment result shows that the method proposed in this paper is better than the other methods proposed in previous papers.
Acknowledgements I
Abstract II
Contents IV
List of Tables V
List of Figures VI
Chapter 1 Introduction 1
Chapter 2 Related Works 3
2.1 Mpeg-7 color Descriptor 3
2.2 Video Indexing Based on Color 6
2.3 Segmentation Method 10
2.4 Matching Method 15
2.5 Evaluation of Retrieval Performance 16
Chapter 3 Proposal Algorithm 18
3.1 Center of Mass 19
3.2 Color Center descriptor 20
Chapter 4 Video Segment Retrieval with Color Center Descriptor 23
4.1 Video Shot Database and Query Set 23
4.2 Similarity Measure 24
4.3 Evaluation of Retrieval Performance 26
4.4 Video Segment-to-segment matching 26
Chapter 5 Conclusion 33
References 34
[1]Ujihashi, Y., Minowa, T., Inagaki, T., & Kurokami, H. (2002). “OKOME” NHK’s Full-Digital Material (1): Web Site Design and Log Collection System, Proceedings of ICCE 2002.
[2]Kurokami, H., Shouji, K., Kodaira S., Okamoto, K., Nishibuchi, A., & Suzuki, K. (2002). “OKOME” NHK’s Full-Digital Material (2): Effectiveness of the Material according to the Data from a Pilot School, Proceedings of ICCE 2002.
[3]J. Hunter, “MPEG-7 behind the scenes”, D-Lib Magazine, vol. 5, no. 9, September 1999. < http://www.dlib.org/dlib/september99/hunter/09hunter.html>
[4]MPEG-7 Requirements Group, “MPEG-7 overview (version 9)", Pattaya, March 2003 ISO/IEC JTC1/SC29/WG11 N5525.
[5]M. Abdel-Mottaleb and S. Krishnamachari, “Multimedia descriptions based on MPEG-7: Extraction and applications,” IEEE Trans. Multimedia, vol. 6, no. 3, pp. 459–468, June 2004.
[6]B. S. Manjunath et al., “Color and texture descriptors,” IEEE Trans. Circuits and Syst. Video Technol., vol. 11, no. 6, pp . 703-715, June 2001.
[7]A. M. Ferman, S. Krishnamachari, A. M. Tekalp, M. Abdel-Mottaleb, and R. Mehrotra, “Group-of-frame/picture color histogram descriptors for multimedia applications,” in Proc. Int. Conf. Image Processing, Vancouver, BC, Canada, 2000.
[8]Tong Lin , Chong-Wah Ngo, Hong-Jiang Zhang, and Qing-Yun Shi, “Integrating color and spatial features for content-based video retrieval,” in Proc. Int. Conf. Image Processing, Thessaloniki, Greece, 2001.
[9]T. Sikora, “The MPEG-7 visual standard for content description—an overview,” IEEE Trans. Circuits and Syst. Video Technol., vol. 11, no. 6, pp . 696-702, June 2001.
[10]M. Detyniecki and C. Marsala, “Discovering knowledge for better video indexing based on colors,” in Proc. IEEE Int.Conf. Fuzzy Systems, vol. 2, Paris, May 2003, pp.1177-1181.
[11]A. M. Ferman, A. M. Tekalp, and R. Mehrotra, “Robust color histogram descriptors for video segment retrieval and identification,” IEEE Trans. Image Processing, vol.11, pp.497-508, May 2002.
[12]A. M. Ferman and A. M. Tekalp, “Two-stage hierarchical video summary extraction to match low-level user browsing preferences,” IEEE Trans. Multimedia, vol. 5, no. 2, pp. 244–26, June 2003.
[13]H. Y. Lee et al., ”Spatial color descriptor for image retrieval and video segmentation,” IEEE Trans. Multimedia, vol. 5, no. 3, pp. 358-367, September 2003.
[14]A. Hanjalic, “Shot-boundary detection: unraveled and resolved?” IEEE Trans. Circuits and Syst. Video Technol., vol. 12, no. 2, pp . 90-105, February 2002.
[15]S. H. Kim and R. H. Park, “An efficient algorithm for video sequence matching using the modified Hausdirff distance and the directed divergence,” IEEE Trans. Circuits and Syst. Video Technol., vol. 12, no. 7, pp . 592-596, July 2002.
[16]ISO/IEC Std. 15938-Part 3: Information Technology-Multimedia Content Description Interface: Visual, 2002.
[17]Sylvia S. Mader, “BIOLOGY”, pp. 416-429,1990.
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