Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)

Research on Recognition and Carving Techniques of Monitoring Video Fragments based on Structural Features

Authors
Xu Chang, Jian Wu, Shanshan Pei
Corresponding Author
Xu Chang
Available Online May 2018.
DOI
https://doi.org/10.2991/amcce-18.2018.152How to use a DOI?
Keywords
Fragments Recognition; Video Carving; AVI
Abstract
The purpose of this paper is to research how to identify and restructure the binary data fragments which were stored on device efficiently and accurately. Take widely used AVI video file format for example, we proposed a method to identify fragments and carve them into files based on structural features, after the studying of carving technical principle of video and AVI file structure. At last, make a simulation to test the method. The results show that it can recover AVI video files from storage devices without Meta system information and achieved very high percentage of accuracy.
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Proceedings
2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
Part of series
Advances in Engineering Research
Publication Date
May 2018
ISBN
978-94-6252-508-5
ISSN
2352-5401
DOI
https://doi.org/10.2991/amcce-18.2018.152How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xu Chang
AU  - Jian Wu
AU  - Shanshan Pei
PY  - 2018/05
DA  - 2018/05
TI  - Research on Recognition and Carving Techniques of Monitoring Video Fragments based on Structural Features
BT  - 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.152
DO  - https://doi.org/10.2991/amcce-18.2018.152
ID  - Chang2018/05
ER  -