Skip to main navigation Skip to search Skip to main content

Identify the Copy & Paste Frames in Compressed Surveillance Video Based on Stream Parameters

  • Qi Han
  • , Huanran Wang
  • , Xiamu Niu
  • , Zhifang Wang
  • School of Computer Science and Technology, Harbin Institute of Technology
  • Heilongjiang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Frame duplication is a typical method of tampering surveillance video which replacing a video clips with the repetitive copies of one single frame to pretend a static scene in order to conceal some important events. The forensics algorithms based on the image content can hardly identify the forged clip from the video sequence of the static scene because of the high similarity of the frames in a surveillance video. While the tampering trace could be found in the parameters of the compressed video stream because the codec is quite sensitive to the slight different between frames even it's invisible. By investigating the stream parameters, the code rate and the residual are revealed to be the prominent parameters related to such tampering. This paper analyzes the characteristics about the stream parameters, and discusses the behaviors of the code rate and the residual in the tampered video. Then an algorithm is designed to identify the duplication of frames based on the values of bit rate and residual. The indicators based on the bit rate and the residual is constructed and a fused criterion is proposed to identify the tampered frames. The experimental results show that the proposed method can identify effectively the duplication for the surveillance within an acceptable running time.

Original languageEnglish
Title of host publicationProceedings - 2015 3rd International Conference on Robot, Vision and Signal Processing, RVSP 2015
EditorsXin-Hua Jiang, Tien-Szu Pan, Pei-Wei Tsai, Hsiang-Cheh Huang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages31-34
Number of pages4
ISBN (Electronic)9781467396462
DOIs
StatePublished - 3 Feb 2016
Externally publishedYes
Event3rd International Conference on Robot, Vision and Signal Processing, RVSP 2015 - Kaohsiung, Taiwan, Province of China
Duration: 18 Nov 201520 Nov 2015

Publication series

NameProceedings - 2015 3rd International Conference on Robot, Vision and Signal Processing, RVSP 2015

Conference

Conference3rd International Conference on Robot, Vision and Signal Processing, RVSP 2015
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period18/11/1520/11/15

Keywords

  • H.264
  • code rate
  • duplication of frames
  • residual
  • surveillance video

Fingerprint

Dive into the research topics of 'Identify the Copy & Paste Frames in Compressed Surveillance Video Based on Stream Parameters'. Together they form a unique fingerprint.

Cite this