The France Telecom Orange Labs (Beijing) Video Semantic Indexing Systems - TRECVID 2010 Notebook Paper

نویسندگان

  • Yuan Dong
  • Kun Tao
  • Hongliang Bai
  • Xiaofu Chang
  • Chengyu Dong
  • Jiqing Liu
  • Shan Gao
  • Jiwei Zhang
  • Tianxiang Zhou
  • Guorui Xiao
چکیده

In this paper, we described the latest video semantic indexing systems developed at France Telecom Orange Labs (Beijing). In our previous systems for TRECVID 2009, the features of color, edge, texture and SIFT were used. This year, some new features based on local descriptors were added for performance improvement. Three Full runs (130 concepts) based on later fusion and one Light run (10 concepts) based on early fusion were submitted, among which we compared the results of unsupervised and supervised late fusion. The effect of cross-domain fusion was also investigated. The run of F_A_FTRDBJ-HLF-2_2 achieved our best MAP of 0.075, which was based on a two-step linear weighted fusion of 19 features. In particular, we used a group of unified weights for all concepts. Such a strategy showed good generalization ability on diverse internet video data.

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تاریخ انتشار 2010