Identification of Mobile Phone and Analysis of Original Version of Videos through a Delay Time Analysis of Sound Signals from Mobile Phone Videos
- Authors
- Hwang, Min Gu; Har, Dong Hwan
- Issue Date
- Nov-2017
- Publisher
- WILEY
- Keywords
- forensic science; video forensics; sound signal; source camera; mobile phone identification; edit video identification; encoding video
- Citation
- JOURNAL OF FORENSIC SCIENCES, v.62, no.6, pp 1617 - 1626
- Pages
- 10
- Journal Title
- JOURNAL OF FORENSIC SCIENCES
- Volume
- 62
- Number
- 6
- Start Page
- 1617
- End Page
- 1626
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/3715
- DOI
- 10.1111/1556-4029.13451
- ISSN
- 0022-1198
1556-4029
- Abstract
- This study designs a method of identifying the camera model used to take videos that are distributed through mobile phones and determines the original version of the mobile phone video for use as legal evidence. For this analysis, an experiment was conducted to find the unique characteristics of each mobile phone. The videos recorded by mobile phones were analyzed to establish the delay time of sound signals, and the differences between the delay times of sound signals for different mobile phones were traced by classifying their characteristics. Furthermore, the sound input signals for mobile phone videos used as legal evidence were analyzed to ascertain whether they have the unique characteristics of the original version. The objective of this study was to find a method for validating the use of mobile phone videos as legal evidence using mobile phones through differences in the delay times of sound input signals.
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Collections - College of Art and Technology > School of Computer Art > 1. Journal Articles
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