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針對(duì)視頻運(yùn)動(dòng)補(bǔ)償幀率提升篡改的主動(dòng)混噪取證算法

李然 梅臘臘 鄔長安 朱秀昌

李然, 梅臘臘, 鄔長安, 朱秀昌. 針對(duì)視頻運(yùn)動(dòng)補(bǔ)償幀率提升篡改的主動(dòng)混噪取證算法[J]. 電子與信息學(xué)報(bào), 2018, 40(3): 713-720. doi: 10.11999/JEIT170502
引用本文: 李然, 梅臘臘, 鄔長安, 朱秀昌. 針對(duì)視頻運(yùn)動(dòng)補(bǔ)償幀率提升篡改的主動(dòng)混噪取證算法[J]. 電子與信息學(xué)報(bào), 2018, 40(3): 713-720. doi: 10.11999/JEIT170502
LI Ran, MEI Lala, WU Chang'an, ZHU Xiuchang. Active Noised-mixed Forensics Algorithm for Tampering of Video Motion-compensated Frame Rate Up-conversion[J]. Journal of Electronics & Information Technology, 2018, 40(3): 713-720. doi: 10.11999/JEIT170502
Citation: LI Ran, MEI Lala, WU Chang'an, ZHU Xiuchang. Active Noised-mixed Forensics Algorithm for Tampering of Video Motion-compensated Frame Rate Up-conversion[J]. Journal of Electronics & Information Technology, 2018, 40(3): 713-720. doi: 10.11999/JEIT170502

針對(duì)視頻運(yùn)動(dòng)補(bǔ)償幀率提升篡改的主動(dòng)混噪取證算法

doi: 10.11999/JEIT170502
基金項(xiàng)目: 

國家自然科學(xué)基金(61501393)

Active Noised-mixed Forensics Algorithm for Tampering of Video Motion-compensated Frame Rate Up-conversion

Funds: 

The National Natural Science Foundation of China (61501393)

  • 摘要: 運(yùn)動(dòng)補(bǔ)償幀率提升(MC-FRUC)是常見的視頻時(shí)域篡改手段。現(xiàn)有方法依靠被動(dòng)分析視頻統(tǒng)計(jì)特征發(fā)現(xiàn)MC-FRUC篡改,然而,視頻統(tǒng)計(jì)特性的非平穩(wěn)性影響了取證性能的穩(wěn)定性。該文提出一種主動(dòng)混噪取證算法,通過預(yù)先混入統(tǒng)計(jì)特性已知的高斯白噪聲,提高M(jìn)C-FRUC取證的準(zhǔn)確度。首先,利用偽隨機(jī)序列生成高斯白噪聲,加入原始視頻序列。接著,由小波系數(shù)的絕對(duì)中位差預(yù)測(cè)各視頻幀中混入高斯噪聲的標(biāo)準(zhǔn)差。最后,檢測(cè)高斯噪聲標(biāo)準(zhǔn)差的時(shí)域變化周期性,通過硬閾值判決,自動(dòng)甄別MC-FRUC篡改。實(shí)驗(yàn)結(jié)果表明,針對(duì)不同的MC-FRUC偽造方法,提出算法均表現(xiàn)出良好的取證性能,尤其是當(dāng)采用去噪、壓縮等操作后處理視頻后,提出算法仍能確保較高的檢測(cè)準(zhǔn)確度。
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出版歷程
  • 收稿日期:  2017-05-24
  • 修回日期:  2017-11-10
  • 刊出日期:  2018-03-19

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