Video Forensics for Detecting Shot Manipulation Using the Information of Deblocking Filtering

Chen Kuang Hsieh; Ching Chun Chiu; Po Chyi Su

doi:10.1109/COMPSAC.2018.10257

Video Forensics for Detecting Shot Manipulation Using the Information of Deblocking Filtering

Chen Kuang Hsieh, Ching Chun Chiu, Po Chyi Su

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A video forensic scheme is proposed in this research to determine if an investigated H.264/AVC video stream has been tampered by such editing operations as shot deletion, insertion or replacement. The scheme is designed based on H.264/AVC de-blocking filter, in which the Boundary Strength (BS) used for evaluating the filter strength of block boundaries is utilized to form two features, VRF (Variation of Residual Footprint) and DOF (Degree of Fragments). The distances between the detected peaks or large values from VRF and DOF are used to acquire the size of the original GOP (Group of Pictures) employed in the encoding before video editing. Possible positions of shot manipulation are identified based on the periodic nature of these peaks. Several tests and a state-of-the-art anti-detection method that modifies coefficients and coding modes are applied in the experiments to verify the feasibility of the proposed scheme.

Original language	English
Title of host publication	Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018
Editors	Claudio Demartini, Sorel Reisman, Ling Liu, Edmundo Tovar, Hiroki Takakura, Ji-Jiang Yang, Chung-Horng Lung, Sheikh Iqbal Ahamed, Kamrul Hasan, Thomas Conte, Motonori Nakamura, Zhiyong Zhang, Toyokazu Akiyama, William Claycomb, Stelvio Cimato
Publisher	IEEE Computer Society
Pages	353-358
Number of pages	6
ISBN (Electronic)	9781538626665
DOIs	https://doi.org/10.1109/COMPSAC.2018.10257
State	Published - 8 Jun 2018
Event	42nd IEEE Computer Software and Applications Conference, COMPSAC 2018 - Tokyo, Japan Duration: 23 Jul 2018 → 27 Jul 2018

Publication series

Name	Proceedings - International Computer Software and Applications Conference
Volume	2
ISSN (Print)	0730-3157

Conference

Conference	42nd IEEE Computer Software and Applications Conference, COMPSAC 2018
Country/Territory	Japan
City	Tokyo
Period	23/07/18 → 27/07/18

Keywords

De-blocking filter
Frame or video shot insertion/deletion
H.264/AVC
Video editing

Access to Document

10.1109/COMPSAC.2018.10257

1 Finished

An Adaptive Traffic Flow Analysis Scheme Based on Scene-Specific Sample Collection and Training
Su, P.
1/08/17 → 31/07/18
Project: Research

Cite this

Hsieh, C. K., Chiu, C. C., & Su, P. C. (2018). Video Forensics for Detecting Shot Manipulation Using the Information of Deblocking Filtering. In C. Demartini, S. Reisman, L. Liu, E. Tovar, H. Takakura, J-J. Yang, C-H. Lung, S. I. Ahamed, K. Hasan, T. Conte, M. Nakamura, Z. Zhang, T. Akiyama, W. Claycomb, & S. Cimato (Eds.), Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018 (pp. 353-358). [8377885] (Proceedings - International Computer Software and Applications Conference; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/COMPSAC.2018.10257

Hsieh, Chen Kuang ; Chiu, Ching Chun ; Su, Po Chyi. / Video Forensics for Detecting Shot Manipulation Using the Information of Deblocking Filtering. Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018. editor / Claudio Demartini ; Sorel Reisman ; Ling Liu ; Edmundo Tovar ; Hiroki Takakura ; Ji-Jiang Yang ; Chung-Horng Lung ; Sheikh Iqbal Ahamed ; Kamrul Hasan ; Thomas Conte ; Motonori Nakamura ; Zhiyong Zhang ; Toyokazu Akiyama ; William Claycomb ; Stelvio Cimato. IEEE Computer Society, 2018. pp. 353-358 (Proceedings - International Computer Software and Applications Conference).

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title = "Video Forensics for Detecting Shot Manipulation Using the Information of Deblocking Filtering",

abstract = "A video forensic scheme is proposed in this research to determine if an investigated H.264/AVC video stream has been tampered by such editing operations as shot deletion, insertion or replacement. The scheme is designed based on H.264/AVC de-blocking filter, in which the Boundary Strength (BS) used for evaluating the filter strength of block boundaries is utilized to form two features, VRF (Variation of Residual Footprint) and DOF (Degree of Fragments). The distances between the detected peaks or large values from VRF and DOF are used to acquire the size of the original GOP (Group of Pictures) employed in the encoding before video editing. Possible positions of shot manipulation are identified based on the periodic nature of these peaks. Several tests and a state-of-the-art anti-detection method that modifies coefficients and coding modes are applied in the experiments to verify the feasibility of the proposed scheme.",

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author = "Hsieh, {Chen Kuang} and Chiu, {Ching Chun} and Su, {Po Chyi}",

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Hsieh, CK, Chiu, CC & Su, PC 2018, Video Forensics for Detecting Shot Manipulation Using the Information of Deblocking Filtering. in C Demartini, S Reisman, L Liu, E Tovar, H Takakura, J-J Yang, C-H Lung, SI Ahamed, K Hasan, T Conte, M Nakamura, Z Zhang, T Akiyama, W Claycomb & S Cimato (eds), Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018., 8377885, Proceedings - International Computer Software and Applications Conference, vol. 2, IEEE Computer Society, pp. 353-358, 42nd IEEE Computer Software and Applications Conference, COMPSAC 2018, Tokyo, Japan, 23/07/18. https://doi.org/10.1109/COMPSAC.2018.10257

Video Forensics for Detecting Shot Manipulation Using the Information of Deblocking Filtering. / Hsieh, Chen Kuang; Chiu, Ching Chun; Su, Po Chyi.

Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018. ed. / Claudio Demartini; Sorel Reisman; Ling Liu; Edmundo Tovar; Hiroki Takakura; Ji-Jiang Yang; Chung-Horng Lung; Sheikh Iqbal Ahamed; Kamrul Hasan; Thomas Conte; Motonori Nakamura; Zhiyong Zhang; Toyokazu Akiyama; William Claycomb; Stelvio Cimato. IEEE Computer Society, 2018. p. 353-358 8377885 (Proceedings - International Computer Software and Applications Conference; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - A video forensic scheme is proposed in this research to determine if an investigated H.264/AVC video stream has been tampered by such editing operations as shot deletion, insertion or replacement. The scheme is designed based on H.264/AVC de-blocking filter, in which the Boundary Strength (BS) used for evaluating the filter strength of block boundaries is utilized to form two features, VRF (Variation of Residual Footprint) and DOF (Degree of Fragments). The distances between the detected peaks or large values from VRF and DOF are used to acquire the size of the original GOP (Group of Pictures) employed in the encoding before video editing. Possible positions of shot manipulation are identified based on the periodic nature of these peaks. Several tests and a state-of-the-art anti-detection method that modifies coefficients and coding modes are applied in the experiments to verify the feasibility of the proposed scheme.

AB - A video forensic scheme is proposed in this research to determine if an investigated H.264/AVC video stream has been tampered by such editing operations as shot deletion, insertion or replacement. The scheme is designed based on H.264/AVC de-blocking filter, in which the Boundary Strength (BS) used for evaluating the filter strength of block boundaries is utilized to form two features, VRF (Variation of Residual Footprint) and DOF (Degree of Fragments). The distances between the detected peaks or large values from VRF and DOF are used to acquire the size of the original GOP (Group of Pictures) employed in the encoding before video editing. Possible positions of shot manipulation are identified based on the periodic nature of these peaks. Several tests and a state-of-the-art anti-detection method that modifies coefficients and coding modes are applied in the experiments to verify the feasibility of the proposed scheme.

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A2 - Tovar, Edmundo

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A2 - Ahamed, Sheikh Iqbal

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Hsieh CK, Chiu CC, Su PC. Video Forensics for Detecting Shot Manipulation Using the Information of Deblocking Filtering. In Demartini C, Reisman S, Liu L, Tovar E, Takakura H, Yang J-J, Lung C-H, Ahamed SI, Hasan K, Conte T, Nakamura M, Zhang Z, Akiyama T, Claycomb W, Cimato S, editors, Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018. IEEE Computer Society. 2018. p. 353-358. 8377885. (Proceedings - International Computer Software and Applications Conference). https://doi.org/10.1109/COMPSAC.2018.10257

Video Forensics for Detecting Shot Manipulation Using the Information of Deblocking Filtering

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An Adaptive Traffic Flow Analysis Scheme Based on Scene-Specific Sample Collection and Training

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