Visual analysis of corrupted video data in video event data recorders

Youngbin Pyo, Choongin Lee, Heejo Lee

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    With the rapid proliferation of video event data recorders (VEDRs), video file data from VEDRs are often used as the primary evidence in many fields, such as law enforcement. In this paper, we propose a method for reconstructing corrupted video files and capturing key events recorded in the video file for use as valid evidence. The method first extracts image features from each video frame and constructs a multidimensional vector. Subsequently, dimension reduction of these vectors is performed for visualization in low-dimensional space. The proper sequence of the video frames is restored by using a curve fitting technique for the low-dimensional vectors. Then, we calculate the change in the slope of the curve-fitted model to detect key events in video files. The proposed method generates significant results not provided by existing file recovery techniques.

    Original languageEnglish
    Title of host publication2017 IEEE Conference on Dependable and Secure Computing
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages453-458
    Number of pages6
    ISBN (Electronic)9781509055692
    DOIs
    Publication statusPublished - 2017 Oct 18
    Event2017 IEEE Conference on Dependable and Secure Computing - Taipei, Taiwan, Province of China
    Duration: 2017 Aug 72017 Aug 10

    Publication series

    Name2017 IEEE Conference on Dependable and Secure Computing

    Other

    Other2017 IEEE Conference on Dependable and Secure Computing
    Country/TerritoryTaiwan, Province of China
    CityTaipei
    Period17/8/717/8/10

    Keywords

    • Digital forensics
    • Video event detection
    • Video sequence reconstruction
    • Visualization

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Safety, Risk, Reliability and Quality
    • Software

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