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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/106809


    題名: Forensic and anti-forensic techniques for video shot editing in H.264/AVC
    作者: 蘇柏齊;Su, Po-Chyi;Suei, Pei-Lun;Chang, Min-Kuan;Lain, Jie
    貢獻者: 資訊電機學院資訊工程學系
    關鍵詞: Anti-forensics;Coding mode prediction;Group of Pictures;H.264/AVC;Information forensics;Modification of Quantization indices;Quantization parameter;Video shot editing;Video tampering detection
    日期: 2015-01-01
    上傳時間: 2026-04-23 13:43:54 (UTC+8)
    出版者: Academic Press Inc.;Elsevier Inc
    摘要: 摘要: •The forensics and anti-forensics of digital videos are investigated.•An anti-forensic method to generate H.264 videos without abnormal coding modes and redundancies.•The forensic methods based on the deblocking filter and checking the quantization parameters. This research investigates the forensics and anti-forensics of video editing operations, including shot insertion and deletion, which are common practices of content tampering. The proposed methodology is based on the fact that excessive prediction residuals in the H.264/AVC encoding may appear in the inter-coded frames that were intra-coded. For the anti-forensics, the relationships of coding modes in consecutive frames are employed to determine whether the intra-prediction can be applied during the re-encoding process of the tampered video. The correspondences of coding parameters and the bit-rates are then examined to predict the targeted distribution of quantization indices. Some nonzero indices are modified for satisfying the targeted distribution and generating a video that does not seem an edited one. Next, two forensic methods are presented. The first method evaluates the energy of resulting residuals after the deblocking filtering to reveal the editing operations that have been applied. The second method makes use of the rate control mechanism to check the quantization parameters. Although there exist certain limitations, the methods deserve more discussions under appropriate conditions.
    出版者: Elsevier Inc
    出版日期: 2015-05-01
    出處: Journal of visual communication and image representation, 2015-05, Vol.29, p.103-113
    資源來源: Elsevier ScienceDirect Journals: Bodleian Libraries collection
    版權: 2015
    識別號: ISSN: 1047-3203
    識別號: EISSN: 1095-9076
    識別號: DOI: 10.1016/j.jvcir.2015.02.006
    顯示於類別:[資訊工程學系] 期刊論文

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