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

Document Type

Article

Publication Date

5-1-2017

Abstract

Multiple-compression detection is of particular importance in video forensics, as it reveals possible manipulations to the content. However, methods for detecting multiple compressions with same quantisation parameters (QPs) are rarely reported. To deal with this issue, a novel method is presented in this study to detect multiple H.264/advanced video coding compressions with the same QPs. First, a new set, named ratio difference set (RDS), is proposed, which is calculated by identifying the quantised DCT coefficients whose values will be changed after re-compression. Then, a discriminative and fixed statistical feature set extracted from RDS of each video is obtained to serve as input for classification. With the aid of support vector machines, the extracted feature set is used to classify the videos that have undergone H.264 compressions twice or more from those compressed just once. Experimental results show that high classification accuracy and robustness against copy-move attack and frame-deletion attack can be achieved with the authors' proposed method.

Identifier

85018160599 (Scopus)

Publication Title

Iet Information Security

External Full Text Location

https://doi.org/10.1049/iet-ifs.2015.0361

e-ISSN

17518717

ISSN

17518709

First Page

152

Last Page

158

Issue

3

Volume

11

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