@inproceedings{3a7bfe9a212542d79630183332a5c263,
title = "Video forensic of fragmented video based on H.264/AVC video compression standard",
abstract = "Traditional video forensics were just for complete video files, which aim at reconstructing the processing history of the video data and validating their origins or authenticity. They have obtained great achievements. However, we cannot always get complete video file in practice, sometime we only get part of it. In this paper, we came up with a method that can restore images of IDR frames from fragmented video files. After analyzing the format of MP4 and H.264/AVC Compression Standard, we proposed an algorithm to search for valid slices from fragment video files. With these slices, images of IDR frames can be restored by reconstructing sequence parameter set and picture parameter set. Test results show that images can be successfully restored in most cases except that FMO or data segmentation is adopted in the process of encoding.",
keywords = "Fragmented video, H.264/AVC, Reconstruct SPS and PPS, Restore image, Video forensics",
author = "Kang Sheng and Jiaqing Qu and Xinyi Liao and Yu'an Tan and Quanxin Zhang",
note = "Publisher Copyright: {\textcopyright} 2014. The authors - Published by Atlantis Press.; 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering, MEIC 2014 ; Conference date: 15-11-2014 Through 17-11-2014",
year = "2014",
doi = "10.2991/meic-14.2014.111",
language = "English",
series = "2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering, MEIC 2014",
publisher = "Atlantis Press",
pages = "492--495",
booktitle = "2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering, MEIC 2014",
}