本文關(guān)鍵詞：基于視頻光流特征一致性的幀間篡改取證算法研究　出處：《北京交通大學(xué)》2016年碩士論文　論文類(lèi)型：學(xué)位論文

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【摘要】：隨著視頻信息的數(shù)字化、視頻處理技術(shù)的不斷進(jìn)步以及國(guó)際互聯(lián)網(wǎng)的普及,數(shù)字視頻得以在世界范圍內(nèi)廣泛傳播與應(yīng)用。在保證視頻真實(shí)性的前提下,數(shù)字視頻可以作為一種場(chǎng)景記錄真實(shí)還原發(fā)生過(guò)的活動(dòng),因而廣泛應(yīng)用于法律、政治和科研等領(lǐng)域。然而,開(kāi)放的互聯(lián)網(wǎng)環(huán)境和便捷的信息存取以及處理技術(shù)也帶來(lái)了許多數(shù)字視頻的安全問(wèn)題。數(shù)字視頻取證技術(shù)作為一種有效的視頻篡改檢測(cè)技術(shù),近十幾年來(lái)得到了研究學(xué)者的廣泛關(guān)注,成為信息安全領(lǐng)域的一個(gè)重要組成部分,并得到了廣泛的研究和應(yīng)用。本論文對(duì)視頻的幀間篡改取證技術(shù)進(jìn)行了探討和分析,發(fā)現(xiàn)現(xiàn)有算法都是在已知視頻是幀間篡改視頻的情況下,對(duì)視頻中的篡改點(diǎn)進(jìn)行定位,缺少檢測(cè)幀間篡改視頻的相應(yīng)算法,因此提出新的視頻特征用于對(duì)原始視頻和幀間篡改視頻的分類(lèi)檢測(cè),主要完成了以下三部分工作：1.論文深入分析了光流一致性特征應(yīng)用于數(shù)字視頻篡改檢測(cè)的可行性理論依據(jù)。在沒(méi)有被篡改的原始視頻中,視頻幀間的光流具有連續(xù)性,而當(dāng)視頻被幀間篡改后,在篡改點(diǎn)左右的兩幀圖像間的光流連續(xù)性被破壞。根據(jù)這一現(xiàn)象,論文將提取光流一致性作為數(shù)字視頻幀間篡改檢測(cè)的特征。2.論文提出了一種新的基于光流一致性特征的幀間篡改檢測(cè)算法。該算法在一個(gè)較大的視頻庫(kù)中提取原始視頻和篡改視頻的光流一致性特征,經(jīng)過(guò)歸一化、量化和降維處理后,將一部分樣本放入支持向量機(jī)進(jìn)行訓(xùn)練,并使用另一部分樣本測(cè)試分類(lèi)結(jié)果。實(shí)驗(yàn)結(jié)果表明,該算法能夠有效區(qū)分原始視頻和幀間篡改視頻。3.論文進(jìn)一步將所提出的算法應(yīng)用于不同種類(lèi)的幀間篡改視頻的區(qū)分,結(jié)果表明算法在區(qū)分幀插入篡改視頻和幀刪除篡改視頻時(shí)仍然有效。論文算法在計(jì)算復(fù)雜度方面還有進(jìn)一步提升的空間,有待在后續(xù)工作中進(jìn)行改進(jìn)。
[Abstract]:With the digitization of video information, the continuous progress of video processing technology and the popularity of the Internet, digital video can be widely spread and applied in the world, under the premise of ensuring the authenticity of video. Digital video can be used as a kind of scene to record the activities that actually happened, so it is widely used in the fields of law, politics, scientific research and so on. The open Internet environment and convenient information access and processing technology also bring many security problems of digital video. Digital video forensics technology as an effective video tamper detection technology. In the past ten years, it has been widely concerned by researchers, and has become an important part of the field of information security. And has been widely studied and applied. This paper discusses and analyzes the inter-frame tampering and forensics technology of video. It is found that the existing algorithms are all known that the video is inter-frame tampered with the video. To locate the tampering points in the video, there is no corresponding algorithm to detect the tampered video between frames, so a new video feature is proposed for the classification detection of the original video and the inter-frame tampered video. The thesis deeply analyzes the feasibility of the application of optical flow consistency features in digital video tamper detection. In the original video without tampering. The optical flow between video frames is continuous, and when the video is tampered with between frames, the continuity of the optical flow between the two frames around the tampering point is broken, according to this phenomenon. In this paper, optical flow consistency is used as the feature of digital video inter-frame tamper detection. A new algorithm of inter-frame tampering detection based on optical flow consistency is proposed. The algorithm is proposed in a large video library. The optical flow consistency features of the original video and the tampered video are obtained. After normalization, quantization and dimensionality reduction, some samples are trained by support vector machine, and the classification results are tested by another part of samples. The experimental results show that. This algorithm can effectively distinguish the original video from the inter-frame tampered video. The paper further applies the proposed algorithm to different kinds of inter-frame tampering video. The results show that the algorithm is still effective in distinguishing frame insertion tamper video from frame delete tamper video.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類(lèi)號(hào)】：TP391.41;TP309

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