以足球视频为媒介的心理战及其信息生成技术研究
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摘要
信息技术的飞速发展和广泛运用为心理战的实施开辟了新的更加广阔的空间。目前,心理战已不再局限于战时的发挥和单纯的战场范围,它已融入了日常生活的方方面面,“目标多元性”和“隐蔽性”成为了现代心理战的两个典型特征,然而,传统的心理战类型由于各自的缺陷已经很难满足未来心理作战的需求,因此,本文的研究旨在探索具备现代心理战特征的新型心理作战方式。
     本文提出了以足球视频为媒介的心理战相关理论,并详细分析了以足球视频为媒介的心理战进攻技术,在当前已有的足球视频分析、处理和传播技术基础上,突破了以足球视频为媒介的心理战信息生成的关键技术,并用于信息生成平台的应用验证。具体来讲,论文的主要贡献包括以下几个方面:
     1.提出了以足球视频为媒介的心理战理论。将现代心理战与以足球视频为媒介的心理战进行比较分析,指明了足球视频在心理战应用中的广阔前景;给出了以足球视频为媒介的心理战定义和类型,在此基础上,对进攻对象、进攻特点以及进攻的流程和方法进行了详细讨论。
     2.为了提高心理战信息生成的速度,提出了基于卫星直播、基于P2P网络流媒体直播和基于分布式视频点播的足球视频获取与投送流程。设计了足球视频中的心理战信息生成流程并明确了其中所涉及的关键技术。
     3.提出了足球视频中心理战信息叠加位置的实时、自动探测方法,该方法主要包括球门定位、广告牌探测和识别、场地探测和静态区域检测,区别于以往基于规则的方法,本文利用基于机器学习的关联方法来发现低层特征与高层语义对象间的非显性关联模式,有效提高了心理战信息叠加位置探测的准确率。
     4.提出了足球视频中的心理战信息叠加方法——“视频植入”。为了实现“视频植入”,需要预先定义球场模型并匹配特征点,实时求解拍摄足球视频的摄像机内外参数,并对连续帧中的摄像机参数进行跟踪,然后依据这些摄像机参数再结合后处理技术对待叠加的心理战信息进行相应的几何变换。“视频植入”后的心理战信息符合视觉效果、没有透视失真,具备良好的“隐蔽性”。
     5.设计并实现了以足球视频为媒介的心理战信息生成平台(IGPPO),该平台包括心理战信息叠加位置探测子平台和心理战信息叠加子平台。本文主要从两个方面验证了IGPPO平台的应用情况,一是足球视频中心理战信息生成的实时性和隐蔽性验证,二是心理战信息生成平台的有效性验证。
     综上所述,本文提出了以足球视频为媒介的心理战理论及其进攻技术,并深入研究了足球视频中的心理战信息生成技术。本文的研究不仅为以足球视频为媒介的心理战建立了一定的理论和技术基础,同时也将对信息化条件下现代心理战的发展产生积极影响。
The rapid development and extensive application of information technology open up a new and wide space for psychological war. At present, psychological war is coming into many aspects of daily life apart from wartime and battlefield, it makes the“multitarget”and“concealment”become two typical characteristics of modern psychological war, however, traditional psychological operation is hard to meet the requirement of modern psychological war because of its inherent limitations, therefore, in this thesis, we explore newfashioned psychological operation that possesses the two typical characteristics.
     Firstly, the theory of Soccer Video based Psychological War (SVPW) is proposed, after that, the technique for SVPW attack is also analyzed. Secondly, based on the existed technology in soccer video analysis, processing and transmission, the key technologies of information generation in SVPW are investigated. Finally, the above theories and methods are validated by designing and implementing an Information Generation Platform of Psychological Operation (IGPPO). The main contributions of this thesis are as follows,
     1. We propose the theory of SVPW. At first, modern psychological war and SVPW are compared to indicate the applicability of soccer video. Then, the definition and types of SVPW are discussed, after that, the targets, characteristics, flow and methods of SVPW attack are elaborated.
     2. In order to accelerate the generation of Psychological War Information(PWI), the flow of soccer video acquiring & sending based on live satellite broadcast, live streaming media in P2P network and video on-demand are proposed. Furthermore, we also design the flow of PWI generation in soccer video and clarify the key technologies within it.
     3. We present the methods of real-time and automatic position detection, which includes goalmouth localization, billboard detection & recognition, playfield detection and static region detection, for PWI superimposition in soccer video. Different from former rule based methods, machine learning algorithms are applied to discover the latent relationships between low-level features and high-level semantic object, and the precision of position detection can be improved to a certain extent.
     4. We suggest the methods for PWI superimposition in soccer video --“in-video placement”. For the implementation of“in-video placement”, the playfield model needs to be predefined, and camera parameters of soccer video need to be determined and tracked in real time between successive frames by matching feature points, after that, geometrical transform and postprocessing are applied to PWI referring to the acquired camera parameters. In this way, the superimposed PWI is vivid and concealed in soccer video.
     5. We design and implement an IGPPO, which comprises two sub-platforms, i.e. position detection sub-platform and PWI superimposition sub-platform. Subsequently, the application of IGPPO is validated from two aspects, one is“run time”and“concealment”validation in PWI generation, the other is“effectiveness”validation of IGPPO.
     In conclusion, this thesis provides the theory and attack technique of SVPW, and an in-depth investigation into the PWI generation technique in soccer video. This research is not only the foundation of SVPW, theoretically and technically, but also a positive influence on the development of modern psychological war in information age.
引文
[1]郝唯学,赵和伟.军事宣传心理学[M].北京:军事谊文出版社, 2005.
    [2]罗克祥.孙子兵法[M].北京:京华出版社, 2003.
    [3]王珲,师金.战略与政略相融会的兵典:诸葛亮兵法[M].北京:军事科学出版社, 2005.
    [4] Eltinge L R. Psychology of war [M]. Fort Leavenworth: Press of The Army Service Schools, 1915.
    [5] Fuller J F C. Tanks in the great war, 1914-1918 [M]. London: John Murray, 1920.
    [6] Lasswell H, Casey R, Smith B. Propaganda and promotional activities [M]. Minneapolis: University of Minnesota Press, 1935.
    [7]周永才,刘林福.心理中心战[M].北京:国防大学出版社, 2004.
    [8]罗新芹.信息化战争中的心理战[M].北京:军事谊文出版社, 2005.
    [9]刘戟锋,曾华锋,石海明,王蔚.从物理战到心理战[M].长春:吉林科学技术出版社, 2007.
    [10] Rainie L, Fox S, Fallows D. The internet and the Iraq war: How online Americans have used to learn war news, understand events and promote their views [R]. Washington D. C.: Pew Research Center, 2003.
    [11] Katovsky B, Carlson T. Embedded: The media at war in Iraq [M]. Guilford: The Lyons Press, 2003.
    [12]罗森林.信息安全与对抗系统研究[J].网络安全技术与应用, 2003, 3 (6): 30-36.
    [13] B. A.利西奇金, JI. A.谢列平.第三次世界大战-信息心理战[M].北京:社会科学文献出版社, 2003.
    [14]马忠,温金权,周志哲,丁凤仪.兵不血刃的战争——心理战研究[M].北京:军事科学出版社, 1989.
    [15]杨旭华,郝玉庆.第四种战争——中外心理战评说[M].北京:国防大学出版社, 1988.
    [16]杜波,文家成.不战而屈人之兵——中国古代心理思想及其应用[M].北京:军事科学出版社, 1997.
    [17]杜波,韩秋风.毛泽东心理作战思想[M].北京:军事科学出版社, 1997.
    [18]马忠.高技术条件下心战与反心战[M].北京:解放军出版社, 1997.
    [19]蒋杰.心理战理论与实践[M].北京:解放军出版社, 1998.
    [20]陈克敏,吴杰明.高技术条件下局部战争作战心理研究[M].北京:国防大学出版社, 2000.
    [21]杜波,王振兴.现代心理战研究[M].北京:解放军出版社, 2002.
    [22]吕登高,王振兴,王连水.高技术条件下心理战概论[M].北京:军事科学出版社, 2001.
    [23]郝唯学.信息心理战与心理杀伤性武器[M].北京:军事谊文出版社, 2005.
    [24]钱振勤.从国家安全战略高度认识和研究信息心理战[J].南京理工大学学报(社会科学版), 2008, 21(4): 109-113.
    [25]刘戟锋.从物理信息战到精神信息战[N].光明日报, 2005-7-20.
    [26]张应二,曹二刚.网络心理战[M].北京:国防大学出版社, 2007.
    [27]金丽阳.军事技术与震慑战略研究[D].长沙:国防科学技术大学, 2006.
    [28]郭小一,老松杨,秦振.心理战中基于视频叠加的心理暗示效应过程研究[J].计算机工程与应用, 2010, 46 (15): 18-21.
    [29]郭小一,老松杨,吴晓曦.心理战视频信息产品开发系统研究[J].军事运筹与系统工程, 2010, 24 (2): 40-44.
    [30]李本先,库锡树,孙兆林.我军心理战武器装备存在的问题及对策[J].科技信息(学术研究), 2007, 25 (30): 32-33.
    [31]邓贵林.心理战专家知识库与推理机理论研究[D].长沙:国防科学技术大学, 2009.
    [32]杨海彬.心理战作战训练系统的研究[D].大连:大连理工大学, 2005.
    [33]张明礼.三战信息系统的设计及实现[D].重庆:重庆大学, 2005.
    [34]兰亚鹏.论“三战”一体化信息系统的构建[D].长沙:国防科学技术大学, 2004.
    [35] Chang S F, Ma W Y, Smeulders A W M. Recent advances and chanllenges of semantic image/video search [C]. International Conference on Acoustics, Speech and Signal Processing. Honolulu, USA: IEEE, 2007. 1205-1208.
    [36] Snoek C G M, Worring M, Gemert J C V, Geusebroek J M. The challenge problem for automated detection of 101 semantic concepts in multimedia [C]. International Conference on Multimedia Santa Barbara, USA: ACM, 2006. 421-430.
    [37] Naphade M R. Statistical techniques in video data management [C]. IEEE Workshop on Multimedia Signal Processing. Virgin Islands, USA: IEEE, 2002. 210-215.
    [38] Jin G Y, Tao L M, Xu G Y. Hidden Markov Model based events detection in soccer video [C]. International Conference on Image Analysis and Recognition. Porto, Portugal: Springer Verlag, 2004. 605-612.
    [39] Wan K W, Lim J H, Xu C S, Yu X G. Real-time camera field view tracking in soccer video [C]. International Conference on Acoustics, Speech and Signal Processing. Hongkong, China: IEEE, 2003. 185-188.
    [40] Wan K W, Yan X, Yu X G, Xu C S. Robust goalmouth detection for virtual content insertion [C]. International Conference on Multimedia. Berkeley, USA: ACM, 2003. 468-469.
    [41] Aldershoff F, Gevers T. Visual tracking and localisation of billboards in streamed soccer matches [C]. SPIE Electronic Imaging. San Jose, USA: SPIE, 2004. 408-416.
    [42] Bagdanov A D, Ballan L, Bertini M, Bimbo A D. Trademark matching and retrieval in sports video databases [C]. International Workshop on Multimedia Information Retrieval. Augsburg, Germany: ACM, 2007. 79-86.
    [43] Watve A, Sural S. Soccer video processing for the detection of advertisement billboards [J]. Pattern Recognition Letters, 2008, 29 (7): 994-1006.
    [44] Hall D, Pelisson F, Riff O, Crowley J L. Brand identification using Gaussian derivative histograms [J]. Machine Vision and Applications, 2004, 16 (1): 41-46.
    [45] Chattopadhyay T, Sinha A. Recognition of trademarks from sports videos for channel hyperlinking in consumer end [C]. International Symposium on Consumer Electronics. Kyoto, Japan: IEEE, 2009. 943-947.
    [46] Phan R, Androutsos D. Content-based retrieval of logo and trademarks in unconstrained color image databases using color edge gradient co-occurrence histograms [J]. Computer Vision and Image Understanding, 2010, 114 (1): 66-84.
    [47] Liu W Y, Sun X M, Wang L. Trademark contour extraction based on improvedsnake model [J]. Journal of Computational Information Systems, 2009, 5 (3): 1253-1260.
    [48] Xie L X, Xu P, Chang S F, Divakaran A. Structure analysis of soccer video with domain knowledge and Hidden Markov Models [J]. Pattern Recognition Letters, 2004, 25 (7): 767-775.
    [49] Ekin A, Tekalp A M, Mehrotra R. Automatic soccer video analysis and summarization [J]. IEEE Transactions on Image Processing, 2003, 12 (7): 796-807.
    [50] Ekin A, Tekalp A M. Robust dominant color region detection and color-based applications for sports video [C]. International Conference on Image Processing. Barcelona, Spain: IEEE, 2003. 21-24.
    [51] Wan K., Yan X., Yu X., Xu C. Real-time goal-mouth detection in MPEG soccer video [C]. International Conference on Multimedia. ACM, 2003. 311-314.
    [52] Farin D, Han J G, With P H N D. Fast camera-calibration for the analysis of sports sequences [C]. International Conference on Multimedia and Expo. Amsterdam, Netherlands: IEEE, 2005. 482-485.
    [53]伍雪冬,蒋新华,李建兴,黄靖.计算机视觉中传统摄像机定标方法综述[J].福建工程学院学报, 2007, 5 (1): 57-61.
    [54] Yu X G, Xu C S, Leong H W, Tian Q. Trajectory-based ball detection and tracking with applications to semantic analysis of broadcast soccer video [C]. International Conference on Multimedia. Berkeley, USA: ACM, 2003. 11-20.
    [55] Liang D W, Huang Q M, Liu Y, Zhu G Y. Video2Cartoon: A system for converting broadcast soccer video into 3D cartoon animation [J]. IEEE Transactions on Consumer Electronics, 2007, 53 (3): 1138-1146.
    [56] Yu X G, Yan X, Hay T S, Leong H W. 3D reconstruction and enrichment of broadcast soccer video [C]. International Conference on Multimedia. New York, USA: ACM, 2004. 260-263.
    [57] Bebie T, Bieri H. A video-based 3D-reconstruction of soccer games [J]. Computer Graphics Forum, 2000, 19 (3): 391-400.
    [58] Xu C S, Wan K W, Bui S H, Tian Q. Implanting virtual advertisement into broadcast soccer video [C]. Pacific-Rim Conference on Multimedia. Tokyo, Japan: Springer Verlag, 2004. 264-271.
    [59] Thomas G A. Real-time camera pose estimation for augmenting sports scenes [C]. European Conference on Visual Media Production. London, UK: Institution of Engineering and Technology, 2006. 10-19.
    [60] Kim H W, Hong K S. Robust image mosaicing of soccer videos using self-calibration and line tracking [J]. Pattern Analysis and Applications, 2001, 4 (1): 9-19.
    [61] Kim T, Seo Y, Hong K S. Physics-based 3D position analysis of a soccer ball from monocular image sequence [C]. International Conference on Computer Vision. Bombay, India: IEEE, 1998. 721-726.
    [62] Liu Y, Liang D W, Huang Q M, Gao W. Extracting 3D information from broadcast soccer video [J]. Image and Vision Computing, 2006, 24 (10): 1146-1162.
    [63] Farin D, Krabbe S, With P H N D, Effelsberg W. Robust camera calibration for sport videos using court models [C]. Storage and Retrieval Methods and Applications for Multimedia. San Jose, USA: SPIE, 2004. 80-91.
    [64] Han J G, With P H N D. 3D camera modeling and its applications in sports broadcast video analysis [C]. International Workshop on Multimedia Content Analysis and Mining Weihai, China: Springer Verlag, 2007. 434-443.
    [65]孙秋慧.虚拟演播室的研究和开发[D].长春:长春理工大学, 2008.
    [66]翟宏洲.虚拟演播室技术及应用[D].广州:华南理工大学, 2006.
    [67]张连军.虚拟演播室系统的分析与比较[D].长春:东北师范大学, 2007.
    [68]刘全.足球比赛视频转播增强现实系统研究[D].西安:西安电子科技大学, 2008.
    [69]王建宇,刘哲,周献中.虚拟广告系统多线程并行模式[J].计算机工程, 2003, 29 (22): 165-167.
    [70]王建宇,刘哲,周献中,吴惠中.虚拟广告系统关键技术研究[J].系统仿真学报, 2005, 17 (7): 1686-1689.
    [71]白亮.本体支持的视频情报分析方法与技术研究[D].长沙:国防科学技术大学, 2008.
    [72]谢毓湘.辅助情报分析的新闻视频挖掘技术研究[D].长沙:国防科学技术大学, 2004.
    [73]郭金林.辅助视频情报分析的字幕探测技术[D].长沙:国防科学技术大学, 2008.
    [74]李永波.基于数据挖掘的军事情报分析系统研究[D].重庆:重庆大学, 2005.
    [75]韩智广.辅助视频情报分析的字幕探测技术研究与实现[D].长沙:国防科学技术大学, 2002.
    [76]梁国伟,聂伟.虚拟现实技术在媒体中的运用及意义[J].新闻界, 2006, 22 (6): 46-48.
    [77]谢作炎,宋方敏.信息时代的心理战[M].北京:解放军出版社, 2004.
    [78]韩秋风,杜波.古今中外心理战100例[M].北京:解放军出版社, 2004.
    [79]胡凤伟,艾松如,杨军强.伊拉克战争心理战[M].沈阳:白山出版社, 2004.
    [80]吴杰明.攻心夺气-20世纪世界军事心理作战纪实[M].北京:世界知识出版社, 1998.
    [81]武军仓,蒋杰.海湾战争以来非对称战争中的心理战评析[M].北京:解放军出版社, 2004.
    [82]郑联.美军在阿富汗、伊拉克战争中心理战总结报告[Z].北京:总政治部联络部, 2009.
    [83]曹俊民,蒋杰.伊拉克战争心理战扫描与探析[M].福州:海风出版社, 2004.
    [84]徐培德,余滨,马满好,祝江汉.军事运筹学基础[M].长沙:国防科技大学出版社, 2007.
    [85]王振兴,杜波,王连水.现代心理战[M].石家庄:石家庄陆军指挥学院, 2000.
    [86] Menezes A J, Oorchot P V, Vanstone S. Handbook of Applied Cryptography [M]. BocaRaton, FL: CRC Press, 1997.
    [87] Lin C Y. Watermarking and digital signature techniques for multimedia authentication and copyright protection [D]. New York: Columbia University, 2000.
    [88]吴琼.面向真实性检测的数字图像盲取证方法研究[D].长沙:国防科学技术大学, 2008.
    [89] Ng T T, Chang S F, Lin C Y, Sun Q B, Passive-blind image forensics. In Multimedia Security Technologies for Digital Rights, 1 ed.; Zeng W J, Yu H H, Lin C Y,Eds. Academic Press: Burlington, 2006; pp 383-409.
    [90] Lanh T V, Chong K S, Emmanuel S, Kankanhalli M S. A survey on digital camera image forensic methods [C]. International Conference on Multimedia and Expo. Beijing, China: IEEE, 2007. 16-19.
    [91] Wang W H, Farid H. Exposing digital forgeries in interlaced and de-interlaced video [J]. IEEE Transactions on Information Forensics and Security, 2007, 2 (3): 438-449.
    [92] Wang W H, Farid H. Exposing Digital Forgeries in Video by Detecting Double MPEG Compression [C]. International Workshop on Multimedia and Security Geneva, Switzerland: ACM, 2006. 37-47.
    [93] Wang W H, Farid H. Exposing digital forgeries in video by detecting duplication [C]. International Workshop on Multimedia and Security Dallas, USA: ACM, 2007. 35-42.
    [94] Popescu A C. Statistical tools for digital image forensics [D]. Hanover: Dartmouth College, 2004.
    [95] http://www.ee.columbia.edu/ln/dvmm.
    [96]吴琼,李国辉,涂丹.面向真实性鉴别的数字图像盲取证技术综述[J].自动化学报, 2008, 34 (12): 1458-1466.
    [97]吴琼,孙韶杰,朱为,李国辉.数字图像盲取证对样本合成修复应用的篡改区域检测算法[J].自动化学报, 2009, 35 (3): 239-243.
    [98]刘咏,杜相华,李洪涛.心理战作用机理及其攻击效应定量分析模型探讨[J].电子对抗技术, 2005, 20 (2): 32-36.
    [99]郝唯学,贺岭峰.心理战作战机理研究[J].中国军事科学, 2005, 18 (4): 130-133.
    [100]邹尚全.对足球迷观看比赛动机的研究[J].辽宁师专学报(自然科学版), 2004, 6 (1): 65-67.
    [101]王晓东,王联聪,叶伟.雅典奥运会和日韩世界杯足球赛电视收视状况的比较[J].上海体育学院学报, 2005, 29 (5): 33-37.
    [102]央视-索福瑞媒介研究,上海文广新闻传媒集团发展研究部.中国电视体育市场报告2004-2005 [R].上海:上海电视节“白玉兰”国际电视论坛, 2004.
    [103]王晓东.全球性重大体育赛事电视转播权开发状况的解析与思考[J].武汉体育学院学报, 2006, 40 (10): 19-23.
    [104]谭文芳.现代心理战:从人的意识走向无意识[J].国防科技, 2008, 29 (4): 78-81.
    [105]王玉东.现代战争心战宣传研究[M].北京:国防大学出版社, 2002.
    [106]宋贵宝,王凤银,王德兴.透析信息化条件下心理战[M].北京:蓝天出版社, 2005.
    [107]刘京林.传播中的心理效应解析[M].北京:中国传媒大学出版社, 2009.
    [108]爱米尔.库埃.心理暗示术[M].天津:天津社会科学院出版社2008.
    [109] R. L.格列高里.视觉心理学[M].北京:北京师范大学出版社, 1986.
    [110] Attneave F. Some informational aspects of visual perception [J]. Psychology Review, 1954, 61 (3): 183-193.
    [111] Anderson J R. Cognitive psychology and its implications [M]. New York: Worth Publishers, 2004.
    [112] Bourne L E, Dominowski R L, Lofus E F, Healy A F. Cognitive processes [M].Englewood Cliffs: Prentice-Hall, 1979.
    [113] Ashcraft M H. Fundamentals of cognition [M]. Englewood Cliffs: Prentice-Hall, 1998.
    [114] Baars B J. Some essential differences between consciousness and attention, perception and working memory [J]. Consciousness and Cognition, 1997, 6 (2-3): 363-371.
    [115]李健,马忠.军事心理学教程[M].北京:国防大学出版社, 1988.
    [116]王沛,鲁春晓.阈下启动的心理机制初探[J].心理科学, 2005, 28 (6): 1344-1346.
    [117]李雪松.直播电视的数字卫星传输系统设计与实现[D].大连:大连理工大学, 2008.
    [118]吕海寰,蔡剑铭,甘仲民,陈九治.卫星通信系统(修订本) [M].北京:人民邮电出版社, 2003.
    [119]车晴,王京玲.数字卫星广播系统[M].北京:北京广播学院出版社, 2000.
    [120]郑志航.全数字高清晰度电视和DVB [M].北京:中国广播电视出版社, 1997.
    [121]马克.流媒体宝典[M].北京:电子工业出版社, 2003.
    [122]钟玉琢,向哲,沈洪.流媒体和视频服务器[M].北京:清华大学出版社, 2003.
    [123]朱晓梅.基于IP组播技术视频系统的研究与实现[D].大连:大连交通大学, 2006.
    [124]邢金阁.流媒体服务系统的设计与实现[D].哈尔滨:东北农业大学, 2004.
    [125] Lienhart R, Kuhmunch C, Effelsberg W. On the detection and recognition of television commercials [C]. International Conference on Multimedia Computing and Systems. Ottawa, Canada: IEEE, 1997. 509-516.
    [126] Smith J R, Chang S F. Visually searching the web for content [J]. IEEE Multimedia, 1997, 4 (3): 12-20.
    [127] Rui Y, Gupta A, Acero A. Automatically extracting highlights for TV baseball programs [C]. International Conference on Multimedia. Los Angeles, USA: ACM, 2000. 105-115.
    [128] Snoek C G M, Worring M, Geusebroek J, Koelma D C. The semantic pathfinder: Using an authoring metaphor for generic multimedia indexing [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28 (10): 1678-1689.
    [129] Shen X P, Boutell M, Luo J B, Brown C. Multi-lable machine learning and its application to semantic scene classification [C]. International Symposium on Electronic Imaging. San Jose, USA: SPIE, 2004. 188-199.
    [130]王沛.广告心理效果与评价[M].北京:科学出版社, 2008.
    [131]顾剑.广告阈下技术及其伦理问题[J].中国广告, 2007, 27 (4): 160-161.
    [132]陈剑贇.体育视频语义内容分析技术研究[D].长沙:国防科学技术大学, 2005.
    [133]黄冬梅,哈明虎,王熙照.决策树与模糊决策树的比较[J].河北大学学报(自然科学版), 2000, 20 (3): 218-221.
    [134] Safavian S R, Landgrebe D. A survey of decision tree classifier methodology [J]. IEEE Transacions on Systems, Man and Cybernetics, 1991, 21 (3): 660-674.
    [135] Janikow C Z. Fuzzy decision trees: issues and methods [J]. IEEE Transacions on Systems, Man and Cybernetics, 1998, 28 (1): 1-14.
    [136] Yuan Y F, Shaw M J. Induction of fuzzy decision trees [J]. Fuzzy Sets and Systems, 1995, 69 (2): 125-139.
    [137] Marsala C, Bouchon-meunier B. Construction methods of fuzzy decision trees [C]. Joint Conference of Information Sciences. North Carolina, USA: Association for Intelligent Machinery, 1998. 17-20.
    [138]亓呈明,郝玲,崔守梅.一种新的模糊决策树模型及其应用[J].山东大学学报(理学版), 2007, 42 (11): 1-4.
    [139] Zadeh L A. Probability measures of fuzzy events [J]. Journal of Mathematical Analysis and Applications, 1968, 23 (2): 421-427.
    [140] Ramdani M. Une approche floue pour traiter les valeurs numériques en apprentissage [C]. Journées Francophones d'apprentissage et d'explication des connaissances. 1992.
    [141] Weber R. Fuzzy-ID3: A class of methods for automatic knowledge acquisition [C]. International Conference on Fuzzy Logic and Neural Networks. Iizuka, Japan, 1992. 265-268.
    [142] Deerwester S, Dumais S T, Furnas G W, Landaure T K. Indexing by latent semantic analysis [J]. Journal of the American Society for Information Science, 1990, 41 (6): 391-407.
    [143] Golub G H, Van Loan C F V. Matrix computations [M]. Baltimore: The Johns Hopkins University Press, 1996.
    [144] Nakov P. Getting better results with latent semantic indexing [C]. European Summer School in Logic, Language and Information. Birmingham, UK, 2000. 156-166.
    [145] Tavassoli N T, Shultz C J, Fitzsimons G J. Program involvement: Are moderate levels bset for ad memory and attitude toward the ad? [J]. Journal of Advertising Research, 1995, 35 (5): 61-72.
    [146] Wan K W, Wang J J, Xu C S, Tian Q. Automatic sports highlights extraction with content augmentation [C]. Pacific-Rim Conference on Multimedia. Tokyo, Japan: Springer Verlag, 2004. 19-26.
    [147] Wan K W, Xu C S. Automatic content placement in sports highlights [C]. International Conference on Multimedia and Expo. Toronto, Canada: IEEE, 2006. 1893-1896.
    [148] Sousa S F de, Araujo A de A, Menotti D. An overview of automatic event detection in soccer matches [C]. IEEE Workshop on Applications of Computer Vision. Kona, USA: IEEE, 2011. 31-38.
    [149] Qian X M, Liu G Z, Wang H, Li Z. Soccer video event detection by fusing middle level visual semantics of an event clip [C]. Pacific-Rim Conference on Multimedia. Shanghai, China: Springer Verlag, 2010. 439-451.
    [150] Bai L, Lao S Y, Zhang W M, Jones G J F. A semantic event detection approach for soccer video based on perception concepts and finite state machines [C]. International Workshop on Image Analysis for Multimedia Interactive Services. Santorini, Greece: IEEE, 2007. 30-33.
    [151] Tong X F, Liu Q S, Lu H Q. Shot classification in broadcast soccer video [J]. Electronic Letters on Computer Vision and Image Analysis, 2008, 7 (1): 16-25.
    [152] Li L, Zhang X Q, Hu W M, Li W Q. Soccer video shot classification based on color characterization using dominant sets clustering [C]. Pacific-Rim Conference on Multimedia. Bangkok, Thailand: Springer Verlag, 2009. 923-929.
    [153] Neal R M, Hinton G E. A new view of the EM algorithm that justifies incremental and other variants [M]. Cambridge: Kluwer Academic Publishers, 1993.
    [154]章毓晋.图象工程(上册):图象处理和分析[M].北京:清华大学出版社, 2001.
    [155] International Football Association Board. Laws of the game. http://www.fifa.com/worldfootball/lawsofthegame.html, 21 August, 2011.
    [156] Lowe D G. Distinctive image features from scale-invariant keypoints [J]. International Journal of Computer Vision, 2004, 60 (2): 91-110.
    [157] Quadri S G, Krishnan S, Guan L. Indexing of NFL video using MPEG-7 descriptors and MFCC features [C]. International Conference on Acoustics, Speech and Signal Processing. Philadelphia, USA: IEEE, 2005. 429-432.
    [158] Marsala C, Bouchon-meunier B. An adaptable system to construct fuzzy decision trees [C]. International Conference of the North American Fuzzy Information Processing Society. New York, USA: IEEE, 1999. 223-227.
    [159] Marsala C, Bouchon-meunier B. Choice of a method for the construction of fuzzy decision trees [C]. International Conference on Fuzzy Systems. St Louis, USA: IEEE, 2003. 584-589.
    [160] Gevers T, Smeulders A W M. Color-based object recognition [C]. International Conference on Image Analysis and Processing. Florence, Italy: Springer Verlag, 1997. 319-326.
    [161] Levent E, Michael S, Vipin K. Finding clusters of different sizes, shapes, and densities in noisy, high dimensional data [C]. International Conference on Data Mining. San Francisco, USA: SIAM, 2003. 47-58.
    [162] Ma X X. Edge-based rich representation for vehicle classification [C]. International Conference on Computer Vision. Beijing, China: IEEE, 2005. 1185-1192.
    [163] Hawking D, Upstill T, Craswell N. Toward better weighting of anchors [C]. International Conference on Research and Development in Information Retrieval. Sheffield, UK: ACM, 2004. 512-513.
    [164] Danisman T, Alpkocak A. Dokuz eylül university video shot boundary detection at TRECVID [C]. TRECVID Workshop. Gaithersburg, USA: NIST, 2006. 125-130.
    [165] Chavez G C, Precioso F, Cord M, Philipp-foliguet S. Shot boundary detection at TRECVID 2006 [C]. TRECVID Workshop. Gaithersburg, USA: NIST, 2006. 261-268.
    [166] Jiang S Q, Ye Q X, Gao W, Huang T J. A new method to segment playfield and its applications in match analysis in sports video [C]. International Conference on Multimedia. New York, USA: ACM, 2004. 292-295.
    [167]陈思善.电视节目制作基础[M].上海:复旦大学出版社, 2004.
    [168]哈特利,齐瑟曼.计算机视觉中的多视图几何[M].合肥:安徽大学出版社, 2002.
    [169] Chang C H, Hsieh K Y, Chiang M C, Wu J L. Virtual spotlighted advertising for tennis videos [J]. Journal of Visual Communication and Image Representation, 2010, 21 (7): 595-612.
    [170] Bruce V, Green P R, Georgeson M A. Visual perception: Psysiology, psychology and ecology [M]. Exeter: Psychology Press, 2003.
    [171] Tong X F, Liu J, Wang T, Zhang Y M. Automatic player labeling, tracking and field registration and trajectory mapping in broadcast soccer video [J]. ACM Transactions on Intelligent Systems and Technology, 2011, 2 (2): 1-32.
    [172] Fitzgibbon A W, Pilu M, Fisher R B. Direct least-square fitting of ellipses [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999, 21 (5): 476-480.
    [173] Shapiro L G, Stockman G C. Computer vision [M]. Englewood Cliffs:Prentice-Hall, 2001.
    [174] Duda R O, Hart P E. Use of the hough transformation to detect lines and curves in pictures [J]. Communications of the ACM, 1972, 15 (1): 11-15.
    [175] MacQueen J B. Some methods for classification and analysis of multivariate observations [C]. Berkeley Symposium on Mathematical Statistics and Probability. Berkeley, USA: University of California Press, 1967. 281-297.
    [176] Tian T Y, Shah M. Recovering 3D motion of multiple objects using adaptive Hough-like transform [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19 (10): 1178-1183.
    [177] Press W H, Teukolsky S A, Vetterling W T, Flannery B P. Numerical recipes in C [M]. Cambridge: Cambridge University Press, 1992.
    [178]郑捷文,蔡利栋.匀速直线运动模糊图像的恢复[J].暨南大学学报(自然科学与医学版), 2002, 23 (3): 42-45.
    [179] Courant R, Hilbert D. Methods of mathematical physics [M]. New York: Wiley-Interscience, 1989.
    [180]赵荣椿,赵忠明,崔甦生.数字图像处理导论[M].西安:西北工业大学出版社, 1995.

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