  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.
