软件工程评估(Evaluation and Assessment in Software Engineering,EASE)会议是一个国际领先的会议场所,学术界和实践者可以在此展示和讨论他们对基于证据的软件工程的研究及其对软件实践的影响。第23届EASE将于2019年4月在丹麦哥本哈根举行,由哥本哈根IT大学主办。EASE 2019欢迎向不同领域提交高质量的研究报告:完整的研究论文、短篇论文和手工艺品、新兴成果和愿景、行业轨迹、博士研讨会、海报。官网链接:https://ease2019.org/

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The unprecedented ease and ability to manipulate video content has led to a rapid spread of manipulated media. The availability of video editing tools greatly increased in recent years, allowing one to easily generate photo-realistic alterations. Such manipulations can leave traces in the metadata embedded in video files. This metadata information can be used to determine video manipulations, brand of video recording device, the type of video editing tool, and other important evidence. In this paper, we focus on the metadata contained in the popular MP4 video wrapper/container. We describe our method for metadata extractor that uses the MP4's tree structure. Our approach for analyzing the video metadata produces a more compact representation. We will describe how we construct features from the metadata and then use dimensionality reduction and nearest neighbor classification for forensic analysis of a video file. Our approach allows one to visually inspect the distribution of metadata features and make decisions. The experimental results confirm that the performance of our approach surpasses other methods.

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