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Multimedia file forensics system exploiting file similarity search

机译:利用文件相似度搜索的多媒体文件取证系统

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摘要

With the fast increase of multimedia contents, efficient forensics investigation methods for multimedia files have been required. In multimedia files, the similarity means that the identical media (audio and video) data are existing among multimedia files. This paper proposes an efficient multimedia file forensics system based on file similarity search of video contents. The proposed system needs two key techniques. First is a media-aware information detection technique. The first critical step for the similarity search is to find the meaningful keyframes or key sequences in the shots through a multimedia file, in order to recognize altered files from the same source file. Second is a video fingerprint-based technique (VFB) for file similarity search. The byte for byte comparison is an inefficient similarity searching method for large files such as multimedia. The VFB technique is an efficient method to extract video features from the large multimedia files. It also provides an independent media-aware identification method for detecting alterations to the source video file (e.g., frame rates, resolutions, and formats, etc.). In this paper, we focus on two key challenges: to generate robust video fingerprints by finding meaningful boundaries of a multimedia file, and to measure video similarity by using fingerprint-based matching. Our evaluation shows that the proposed system is possible to apply to realistic multimedia file forensics tools.
机译:随着多媒体内容的快速增长,需要有效的多媒体文件取证调查方法。在多媒体文件中,相似性意味着多媒体文件之间存在相同的媒体(音频和视频)数据。本文提出了一种基于视频内容文件相似度搜索的高效多媒体文件取证系统。拟议的系统需要两项关键技术。首先是一种媒体感知信息检测技术。相似性搜索的第一个关键步骤是通过多媒体文件在镜头中找到有意义的关键帧或关键序列,以便从同一源文件中识别出更改的文件。其次是用于文件相似性搜索的基于视频指纹的技术(VFB)。用于字节比较的字节对于大型文件(例如,多媒体文件)而言是一种效率低下的相似度搜索方法。 VFB技术是从大型多媒体文件中提取视频功能的有效方法。它还提供了一种独立的可识别媒体的识别方法,用于检测对源视频文件的更改(例如,帧速率,分辨率和格式等)。在本文中,我们重点关注两个关键挑战:通过找到多媒体文件的有意义的边界来生成鲁棒的视频指纹,以及通过使用基于指纹的匹配来测量视频的相似性。我们的评估表明,所提出的系统有可能应用于现实的多媒体文件取证工具。

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