Automatic reconstruction of deleted AVI video files composed of scattered and corrupted fragments

Wan Yeon Lee, Kyong Hoon Kim, Hyeim Yang, Young Woong Ko

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Video files of surveillance cameras frequently play a role of major evidence for criminals or accidents. But, if the video file containing the evidence is deleted, we need to recover it if possible. In this paper, we propose a recovery scheme for deleted video files with AVI format on FAT32 file system. The proposed scheme first recovers deleted video files from unallocated storage space exploiting both signatures of video frames and behaviours of file systems. The scheme finds fragments of deleted video files based on the start indicator of video frames or the file header signature, and connects the found fragments based on the file allocation patterns of FAT32 file system. Next, if a recovered video file is partially corrupted, the scheme automatically reconstructs the corrupted AVI video file so that the video file can be played back. The lost file header of the corrupted video file is reconstructed based on the file header of a reference video file, and the lost data multimedia data is filled with zero. Through practical implementation, we show that the proposed scheme recovers deleted video files from unallocated storage space and reconstructs corrupted AVI video files.

Original languageEnglish
Pages (from-to)28355-28367
Number of pages13
JournalMultimedia Tools and Applications
Volume79
Issue number37-38
DOIs
StatePublished - 1 Oct 2020

Keywords

  • Automatic reconstruction
  • AVI format
  • Corrupted video
  • FAT32
  • Scattered video fragments

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