基于光流异常分析的视频伪造定量估计

IF 0.6 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEICE Transactions on Information and Systems Pub Date : 2023-10-01 DOI:10.1587/transinf.2022edl8107

Wan Yeon LEE, Yun-Seok CHOI, Tong Min KIM

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引用次数: 0

摘要

我们提出了一种视频伪造的定量测量技术，消除了正常模式和篡改模式之间微妙边界的决策负担。我们还提出了时空目标区域的自动调整方案，最大限度地提高了伪造视频的异常测量。评估表明，该方案对帧间和帧内伪造都具有明显的检测能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Quantitative Estimation of Video Forgery with Anomaly Analysis of Optical Flow

We propose a quantitative measurement technique of video forgery that eliminates the decision burden of subtle boundary between normal and tampered patterns. We also propose the automatic adjustment scheme of spatial and temporal target zones, which maximizes the abnormality measurement of forged videos. Evaluation shows that the proposed scheme provides manifest detection capability against both inter-frame and intra-frame forgeries.

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来源期刊

IEICE Transactions on Information and Systems 工程技术-计算机：软件工程

CiteScore

1.80

自引率

0.00%

发文量

238

审稿时长

5.0 months

期刊介绍： Published by The Institute of Electronics, Information and Communication Engineers Subject Area: Mathematics Physics Biology, Life Sciences and Basic Medicine General Medicine, Social Medicine, and Nursing Sciences Clinical Medicine Engineering in General Nanosciences and Materials Sciences Mechanical Engineering Electrical and Electronic Engineering Information Sciences Economics, Business & Management Psychology, Education.