Double compression detection in HEVC-coded video with the same coding parameters using picture partitioning information

Highlights：

• This proposes the video forensic analysis in the HEVC-coded videos for ensuring the authenticity and integrity by detecting double compression.

• Mainly focuses on the portioning and prediction information for discriminating HEVC single and double compressions.

• This introduces two classes of features: statistical features and deep convolution neural network (DCNN) features for evaluating the proposed system.

• Experiments are carried out in separate and combined fashion for statistical and DCNN features to show the robustness of each feature set.

• The full analysis and comparisons of the quantitative results are provided.

摘要

•This proposes the video forensic analysis in the HEVC-coded videos for ensuring the authenticity and integrity by detecting double compression.•Mainly focuses on the portioning and prediction information for discriminating HEVC single and double compressions.•This introduces two classes of features: statistical features and deep convolution neural network (DCNN) features for evaluating the proposed system.•Experiments are carried out in separate and combined fashion for statistical and DCNN features to show the robustness of each feature set.•The full analysis and comparisons of the quantitative results are provided.

论文评审过程：Received 31 July 2020, Revised 14 December 2021, Accepted 17 January 2022, Available online 26 January 2022, Version of Record 7 February 2022.