Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/6768
標題: 利用影像特性完成搜尋主播之快速瀏覽電視新聞 系統
Anchorperson Detection for TV News Segmentation System via Visual Features
作者: 呂科諺
Lu, Ko-Yen
關鍵字: TV news segmentation;影音多媒體內容分析;time constraint;region histogram;搜尋主撥;膚色偵測
出版社: 電機工程學系所
引用: [1] Chia-Hung Yeh, Shih-Hung Lee & C. -C. Jay Kuo,“Content-based video analysis for knowledge discovery,” Handbook of Pattern Recognition and Computer Vision 3th Edition Version, Editor by Prof. C. H. Chen and Prof. P.S.P. Wang, World Scientific Publishing Co. ISBN: 981-256-105-6. [2] Ying Li, Shih-Hung Lee, Chia-Hung Yeh & C.-C. Jay Kuo,“Techniques for movie content analysis and skimming,“ IEEE Signal Processing Magazine, vol. 23, no. 2, pp. 79-89, 2006. [3] Shih-Hung Lee, Chia-Hung Yeh & C. -C. Jay Kuo,“Automatic movie skimming with story units via general tempo analysis,” Proceedings of SPIE Electronic Image Storage and Retrieval Methods and Applications for Multimedia, vol. 5307, pp. 396-407, 2004. [4] N. O’Hare, A.F. Smeaton, C. Czirjek, N. O''Connor, N. Murphy, “A generic news story segmentation system and its evaluation,” Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 3, pp. 1028-31, 2004. [5] N. O''Connor, C. Czirjek, S. Deasy, S. Marlow, N. Murphy and A. Smeaton, “News story segmentation in the Fischlar video indexing system,” Proceedings of the IEEE International Conference on Image Processing, vol. 3, pp. 418-421, 2001. [6] Pui-Yu Hui, Xiaoou Tang, H. M. Meng, Wai Lam, Xinbo Gao, “Automatic story segmentation for spoken document retrieval,” Proceedings of the 10th IEEE International Conference on Fuzzy Systems, vol. 3, pp. 1319-1322, 2001. [7] V. Vezhnevets, V. Sazonov, A. Andreeva, “A Survey on Pixel-Based Skin Color Detection Techniques,” Proceedings of the Graphicon conference, pp. 85-92, 2003. [8] 蘇芳生, “人臉表情辨識系統,” 國立中正大學通訊工程研究所碩士論文,民國93 年. [9] 倪豐洲, “結合PCA與灰色理論之人臉辨識系統,” 國立交通大學電機與控制工程學系碩士論文, 民國91年. [10] M. Soriano, B. Martinkauppi1, S.Huovinen, and M. Laaksonen, “Using the skin locus to cope with changing illumination conditions in color-based face tracking,” Proceedings of the IEEE Nordic Signal Processing Symposium, pp. 383-386, 2000. [11] S. Karungaru, M. Fukumi and N. Akamatsu. “Skin Color Correction through Scene Illuminant Estimation Using Neural Networks and Analytical Methods,” Proceedings of the ACTA press Journal on the Signal Processing, Vol. 7, pp. 69-78, 2003. [12] M. M. Yeung, B.-L. Yeo, and B. Liu, “Extracting story units from long programs for video browsing and navigation,” Proceedings of the Third IEEE International Conference on Multimedia Computing and Systems, pp. 296 -305, 1996. [13] Y. Rui, T.S. Huang, and S. Mehrotra, “Constructing Table-of-Content for Videos,” Proceedings of the ACM Journal on the Multimedia Systems, vol. 7, no. 5, pp. 359-368, 1999. [14] A. Albiol, C.A. Bouman, E.J. Delp, “Face detection for pseudo-semantic labeling in video databases,” Proceedings of the IEEE International Conference on Image Processing, vol. 3, pp. 607-611, 1999. [15] C. Czirjek, N. O’Connor, S. Marlow and N. Murphy, “Face detection and clustering for video indexing applications,” Proceedings of Advanced Concepts for Intelligent Vision Systems, 2003. [16] Juan José de Dios, Narciso García, “Fast face segmentation in component color space,” Proceedings of the IEEE International Conference on Image Processing,” vol. 1, pp. 191-194, 2004. [17] Rafael C. Gonzalez and Richard E. Woods, “Digital image processing”.
摘要: 
現代人生活忙碌,想要每天都有一個固定的時間收看新聞已經是一件非常不容易的事,況且每天都發生那麼多大大小小的新聞,有社會新聞、娛樂新聞、政治新聞、體育新聞等等,如何可以在短時間內將一天所發生的新聞都輕鬆的瀏覽一遍,再選擇您所想要深入了解的新聞呢?我們在這裡提出了一個想法,就是利用影音多媒體內容分析來建立一段影片的索引與搜尋。
如果想要在一段新聞出分辨出是主撥撥報新聞的片段或是新聞片段,可以經由搜尋主撥的人臉這個動作來分辨出現在這個片段是主撥撥報新聞的片段或是新聞片段,因為現有的人臉辨識方法都需要大量複雜的數學運算才能有效的辨識出人臉,如果想要完成Real-Time 的處理,硬體需求可能會很高。
在本研究中,我們提出一個新的且計算量較小的方法來判別主撥是否存在,這個方法主要著重於人臉膚色偵測,主撥衣服顏色偵測以及利用主撥撥報新聞與新聞片段切換時所產生的一些條件來研究這個題目。

In this thesis, we designed a scheme for TV news segmentation via video content analysis techniques and explored the efficient visual features. The scheme can be divided into three parts, such as anchorperson shot change detection based on skin color, probable anchorperson segment detection and anchorperson detection.
An anchorperson shot surely contains face region, and this feature is informative and important for anchorperson shot change detection. In order to reduce computational complexity for face detection, we only use skin color information as the major tool for searching face region. Otherwise, the anchorperson shot time should be shorter than that of a report shot time. As a result, we make use of the properties above also called time constraint method to discover the probable anchorperson segments. However, the probable anchorperson segment might involve the report segment, it will effect the detect precision. Here, we exploit the region histogram based on non-skin color method to exclude report segments.
According to simulation results, our proposed method can efficiently decompose TV news into anchorperson shots and report segments. The proposed method can easily apply to software and hardware based personal video recorder for efficiently accessing the large amount of TV news video in the near future.
URI: http://hdl.handle.net/11455/6768
其他識別: U0005-2407200612061200
Appears in Collections:電機工程學系所

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