NDLI: Detection of double compression in HEVC videos based on TU size and quantised DCT coefficients

Content Provider	IET Digital Library
Author	Li, Qian Wang, Rangding Xu, Dawen
Abstract	With the advent of sophisticated and low-cost video editing software, digital videos are highly vulnerable to be tampered. The authenticity and integrity identification of digital videos is an urgent issue. In this study, an effective method to detect double High Efficiency Video Coding (HEVC) video compression with different quantisation parameter (QP) is proposed, which often occurs in the video tampering process. First, the effects of QP on the distributions of Discrete Cosine Transform (DCT) coefficients and Transform Unit (TU) size are analysed. Then a feature set including 17 features is derived from quantised DCT coefficients and TU size. It can characterize the statistical differences between single and double compressed videos. Finally, the Library for Support Vector Machine classifier is exploited to identify whether a given HEVC video has been double compressed or not. Experimental results demonstrate that the authors’ detection method has a good comprehensive performance.
Starting Page	1
Ending Page	6
Page Count	6
ISSN	17518709
Volume Number	13
e-ISSN	17518717
Issue Number	Issue 1, Jan (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ifs/13/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ifs.2017.0555
Journal	IET Information Security
Publisher Date	2018-06-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Authenticity Authors Computer Vision And Image Processing Technique Data Compression Different Quantisation Parameter Digital Videos Discrete Cosine Transform Double Compressed Videos Double Compression Double High Efficiency Video Coding Video Compression Given HEVC Video HEVC Videos Image And Video Coding Integrity Identification Low-cost Video Editing Software QP Quantisation (signal) Quantised DCT Coefficient Single Videos Support Vector Machine TU Size Video Coding Video Signal Processing Video Tampering Process
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Zero-quantised discrete cosine transform coefficients prediction technique for intra-frame video encoding

Detecting multiple H.264/AVC compressions with the same quantisation parameters

Improved algorithm for detecting zero-quantised discrete cosine transform coefficients in H.264/AVC (revised version)

Accurate estimation of primary quantisation table with applications to tampering detection

Colour image compression algorithm based on the DCT transform using difference lookup table

JPEG image width estimation for file carving

Reversible data hiding in JPEG images utilising zero quantised coefficients

First Quantization Matrix Estimation From Double Compressed JPEG Images

Zero coefficient-aware fast butterfly-based inverse discrete cosine transform algorithm

Detection of double compression in HEVC videos based on TU size and quantised DCT coefficients

Similar Documents

Zero-quantised discrete cosine transform coefficients prediction technique for intra-frame video encoding

Detecting multiple H.264/AVC compressions with the same quantisation parameters

Improved algorithm for detecting zero-quantised discrete cosine transform coefficients in H.264/AVC (revised version)

Accurate estimation of primary quantisation table with applications to tampering detection

Colour image compression algorithm based on the DCT transform using difference lookup table

JPEG image width estimation for file carving

Reversible data hiding in JPEG images utilising zero quantised coefficients

First Quantization Matrix Estimation From Double Compressed JPEG Images

Zero coefficient-aware fast butterfly-based inverse discrete cosine transform algorithm

Detection of double compression in HEVC videos based on TU size and quantised DCT coefficients