Motion-Adaptive Detection of HEVC Double Compression With the Same Coding Parameters

Xu, Qiang; Jiang, Xinghao; Sun, Tanfeng; Kot, Alex C.

doi:10.1109/tifs.2022.3176188

Cited by 8 publications

(1 citation statement)

References 35 publications

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“…Mahfoudi proposed the statistical H.264 double-compression detection method based on discrete cosine transform (DCT) coefficients [ 28 ]. A motion-adaptive algorithm is proposed to detect HEVC double compression with the same coding parameters [ 29 ]. Since video forgery is normally performed on uncompressed domains, the process of video tampering consists of decoding the compressed video, editing the uncompressed video, and compressing the edited video again [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

Detection of Double-Compressed Videos Using Descriptors of Video Encoders

Lee

Byun

2022

Sensors

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In digital forensics, video becomes important evidence in an accident or a crime. However, video editing programs are easily available in the market, and even non-experts can delete or modify a section of an evidence video that contains adverse evidence. The tampered video is compressed again and stored. Therefore, detecting a double-compressed video is one of the important methods in the field of digital video tampering detection. In this paper, we present a new approach to detecting a double-compressed video using the proposed descriptors of video encoders. The implementation of real-time video encoders is so complex that manufacturers should develop hardware video encoders considering a trade-off between complexity and performance. According to our observation, hardware video encoders practically do not use all possible encoding modes defined in the video coding standard but only a subset of the encoding modes. The proposed method defines this subset of encoding modes as the descriptor of the video encoder. If a video is double-compressed, the descriptor of the double-compressed video is changed to the descriptor of the video encoder used for double-compression. Therefore, the proposed method detects the double-compressed video by checking whether the descriptor of the test video is changed or not. In our experiments, we show descriptors of various H.264 and High-Efficiency Video Coding (HEVC) video encoders and demonstrate that our proposed method successfully detects double-compressed videos in most cases.

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Section: Introductionmentioning

confidence: 99%