Video annotation based on temporally consistent Gaussian random field
J. Tang; X.-S. Hua; T. Mei; G.-J. Qi; X. Wu
Electronics Letters
Volume 43, Issue 8, April 12 2007 Page(s):448 - 449
Digital Object Identifier   10.1049/el:20073674
Summary:A novel method for automatically annotating video semantics, called temporally consistent Gaussian random field (TCGRF) is proposed. Since the temporally adjacent video segments (e.g. shots) usually have a similar semantic concept, TCGRF adapts the temporal consistency property of video data into graph-based semi-supervised learning to improve the annotation results. Experiments conducted on the TRECVID data set have demonstrated its effectiveness

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