期刊文献+

一种应用于视频点播系统的视频检索方法

Video Retrieval Method Applied to VOD Systems
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摘要 提出一种新的用于视频点播系统的视频检索方法,用户提交单帧图片中的感兴趣部分作为查询输入,服务器据此查询对存储的视频摘要片断的数据帧进行分割,再判断帧数据与查询图片的相似性,并将结果返回给用户选择播放.用户查询的输入可以来自影片的海报宣传画、影片花絮镜头等等,由于仅对用户感兴趣的部分进行处理,所以对背景(非感兴趣区域)的色彩无须约束.实验结果表明本方法可以准确定位到用户期望的查询结果,可以有效应用于视频点播系统. A novel type for video-on-demand (VOD) is presented. The user uses the interested part of single image as the query. The system server,which stores the video summary in the whole system,co-segments the frames in video summaries according to the query,and computes the distance between the image and the query. Furthermore,the server can localize and play the video that the user requested. The query can come from the poster or from the frame itself,since it only handles the region of interest (ROD,no constraints are required for the color of the background (out of ROD, Experiments show that it is a novel and effective style for video retrieval, and can be applied in the VOD system.
出处 《小型微型计算机系统》 CSCD 北大核心 2008年第8期1534-1537,共4页 Journal of Chinese Computer Systems
基金 国家"八六三"计划项目(2006AA01Z114)资助 国家发改委"CNGI视频多媒体点播系统"项目(CNGI-04-15-2A)资助 国家下一代互联网(CNGI)视频点播系统中的P2P机制研究 中国科学技术大学青年基金
关键词 基于内容的图像检索 分割 视频点播 视频检索 content based image retrieval (CBIR) segmentation video on demand (VOD) video retrieval
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  • 1Golubchik L, Muntz R R, Chou C F,et al. Design of fault-tolerant large-scale VOD servers: with emphasis on high-performance and low-eost[J]. IEEE Transactions on Parallel and Distributed Systems, 2001, 12(4):363-386.
  • 2Krishnan R. Timeshared video-on-demand: a workable solution [J]. IEEE Multimedia, 1999,6(1):77-79.
  • 3Mundur P, Sood A K, Simon R. Class-based access control for distributed video-on-demand systems[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2005,15 (7) : 844- 853.
  • 4庄越挺,潘云鹤,芮勇.用语义联想支撑基于内容的视频检索[J].计算机研究与发展,1999,36(5):613-618. 被引量:12
  • 5姜帆,章毓晋.新闻视频的场景分段索引及摘要生成[J].计算机学报,2003,26(7):859-865. 被引量:13
  • 6Sze K W, Lam K M, Qui G. Scene cut detection using the colored pattern appearance model[C]. In Proc IEEE Int. Conf. Image Processing. Barcelona, Spain, 2003,1017-1020.
  • 7Ferman A M,Tekalp A M ,Mehrotra R. Robust color histogram descriptors for video segment retrieval and identification [J]. IEEE Transact ions on Image Processing, 2002,11 (5) : 497- 508.
  • 8Dimitrova N, Zhang H J, Shahrary B, et al. Applications of video-content analysis and retrieval [J]. IEEE Multimedia, 2002,4(3):42-45.
  • 9Antani S,Kasturi R, Jain R. A survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video[J].Pattern recognition, 2002,35 (4) : 945- 965.
  • 10Rother C, Kolmogorov V, Minka T, et al, Cosegmentation of image pairs by histogram matching-incorporating a global constraint into MRFs [C]. IEEE Conference on Computer Vision and Pattern Recognition,2006,1:993-1000.

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