期刊文献+

基于电视编目自动化系统的监管工作情况分析及改进方案

Supervision Condition and Improvement Scheme Based on TV Cataloging Automatic System
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摘要 电视媒体在社会舆论方面占据重要地位,而且近年来发展迅速,产生海量数据。目前的形势下,只有用自动化系统逐步代替传统的人工方式,才能满足监测监管的要求。本文介绍了现有电视编目自动化系统的基本设计,以及应用自动化系统的监管工作情况。本文的重点在于发现现有工作存在的问题,并提出改进方案。 TV media occupy an important position in public opinion and recently develop so rapidly that huge amounts of data is produced. In the present situation, regulatory requirements can be meet only by using automatic system instead of manual mode gradually. This paper describes basic design of TV cataloging automatic system and supervision condition by the automatic system. This paper is focused on finding out the problems of existing work and presents plans for improvement.
作者 王强
出处 《广播与电视技术》 2016年第9期150-154,共5页 Radio & TV Broadcast Engineering
关键词 电视编目 自动化系统 内容监管 TV cataloging, Automatic system, Content supervision
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参考文献6

  • 1Yamamot Koji, Takayama Shunsuke , Aoki Hisashi. Semantic Swgmentation of TV Programs Using Corner-Subtitles: Proceedings of IEEE 13th International Symposim on Consumer Electronics, 2009[C]. Kyoto: IEEE ,2009: 205-208.
  • 2Jinqiao Wang, Lingyu Duan , Qingshan Liu ,et al. A Multimodal Scheme for Program Segmentaion and Representation in Broadcast Video Streams[J]. IEEE Transactions on Multimedia, 2008. 10(3) : 393-408.
  • 3Albiol Alberto, Ch M J, Albiol Antonio, et al. Detection of TV Commercials: Proceedings of 1EEE International Conference on Acoustics, Speech, and Signal Processing, 2004[C].IEEE.,2004: 541-544.
  • 4白亮,老松杨,陈剑赟,吴玲达.基于支持向量机的音频分类与分割[J].计算机科学,2005,32(4):87-90. 被引量:13
  • 5Evangelidis G, Diego F , Horaud R. From Video Matching to Video Grouding:2013 IEEE International Conference on Computer Vision Workshops, 2013[C]: Sidney : IEEE, 2013 : 608-615.
  • 6王婧.基于电视自动编目技术的广告监管自动化系统[J].广播与电视技术,2014,41(S1):68-72. 被引量:6

二级参考文献17

  • 1Scheirer E,Slaney M. Construction and Evaluation of a Robust Multifeature Music/Speech Discriminator. In: Proc. of ICASSP 97, vol 11, 1997. 1331~1334
  • 2Jiang Hao,Lin Tony, Zhang Hongjiang. Video segmentation with the support of audio segmentation and classification. In:Proc. Of ICME.2000--IEEE Intl. Conf. on Multimedia and Expo, New York, 2000, 3: 1507~ 1510
  • 3Zhang Tong,Kuo C J. Heuristic Approach for Generic Audio Data Segmentation and Annotation. In:Proc. of the 7 th ACM Intl.Conf. on Multimedia. Orlando, 1999. 67~76
  • 4Srinivasan S, Petkovic D, Ponceleon D. Towards robust features for classifying audio in the cudeVideo system. In:Proc. of the 7 th ACM Intl. Conf. on Multimedia, Orlando,1999. 393~400
  • 5Wold E,Blum T,Keislar D, Wheaton J. Conternt --based classification, search and retrieval of audio. IEEE Multimedia Magazine, 1996, 3(3): 27-36
  • 6Liu Z, Huang J, Wang Y, Chen T. Audio feature extraction and analysis for scene classification. In: IEEE Signal Processing Society 1997 Workshop on Multimedia Signal Processing
  • 7Vapnik V. The Nature of Statistical Learning Theory. New York: Springer--Verlag, 1995
  • 8Cones C,Vapnik V. Support Vector Networks. Machine Learning, 1995, 20: 273~297
  • 9Foote J. Content--base retrieval of music and audio. In: C C. J.Kuo, et al. eds. Multimedia Storage and Archiving Systems II,Proc. of SPIE, volume 3229 1 1997. 138~147
  • 10Li S H. Content--based classification and retrieval of audio using the nearest featue line method. IEEE Transactions on Speech and Audio Processing, Sep. 2000

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