Journal of South China University of Technology (Natural Science Edition)

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Digital Video Frame Duplication Detection Based on TCS-LBP Operator
 

LI Meng1 HU Yongjian1 LIU Beibei1 LIU Haiyong1 LIAO Guangjun2    

  1. 1． School of Electronic and Information Engineering，South China University of Technology，Guangzhou 510640， Guangdong，China; 2． Guangdong Police College，Guangzhou 510230，Guangdong，China
  • Received:2017-11-15 Online:2018-05-25 Published:2018-04-03
  • Contact: 胡永健( 1962-) ，男，教授，博士生导师，主要从事多媒体信息安全、图像处理以及模式识别研究 E-mail:eeyjhu@scut.edu.cn
  • About author:李猛( 1990-) ，男，博士生，主要从事数字视频信息隐藏的研究
  • Supported by:
     Supported by the Science and Technology Planning Project of Guangdong Province( 2017A05051002) and the Doctoral Start-Up Fund of Natural Science Foundation of Guangdong Province( 2017A030310320) 

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Abstract: A spatial and temporal feature-based detection algorithm is proposed for surveillance video duplication detection． Motivated by the design of LBP ( Local Binary Patterns) operator，we design a temporal domain CenterSymmetric Local Binary Pattern ( TCS-LBP) operator which can reflect the relationship between the pixel on the current frame and those pixels on its front and back frames in the same spatial location． By calculating the TCS-LBP value pixel-by-pixel on the current frame，we construct its correspondent feature image which can reflect both spatial and temporal features of the current frame． The feature image is thus used for detecting video duplication framebyframe． For the obtained results，we propose schemes for false alarms removal and missing detection correction． Finally，we accurately determine the boundaries of forgery region． Experimental results demonstrate that the proposed algorithm has good performance． It well outperforms the two similar algorithms in the literature． 

Key words: video forgery detection, spatial domain feature, temporal domain feature, TCS-LBP operator, video frame duplication detection

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