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

DOI

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.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SP  - 867
EP  - 872
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.152
DO  - 10.2991/amcce-18.2018.152
ID  - Chang2018/05
ER  -