Machine listening techniques as a complement to video image analysis in forensics

Romain Serizel, Victor Bisot, Slim Essid, Gaël Richard

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Video is now one of the major sources of information for forensics. However, video documents can be originating from various recording devices (CCTV, mobile devices, etc.) with inconsistent quality and can sometimes be recorded in challenging light or motion conditions. Therefore, the amount of information that can be extracted relying solely on video image can vary to a great extent. Most of the videos however generally include audio recording as well. Machine listening can then become a valuable complement to video image analysis in challenging scenarios. In this paper, the authors present a brief overview of some machine listening techniques and their application to the analysis of video documents for forensics. The applicability of these techniques to forensics problems is then discussed in the light of machine listening system performances.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
PublisherIEEE Computer Society
Pages948-952
Number of pages5
ISBN (Electronic)9781467399616
DOIs
Publication statusPublished - 3 Aug 2016
Externally publishedYes
Event23rd IEEE International Conference on Image Processing, ICIP 2016 - Phoenix, United States
Duration: 25 Sept 201628 Sept 2016

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2016-August
ISSN (Print)1522-4880

Conference

Conference23rd IEEE International Conference on Image Processing, ICIP 2016
Country/TerritoryUnited States
CityPhoenix
Period25/09/1628/09/16

Keywords

  • Acoustic scene analysis
  • Automatic speech recognition
  • Event detection
  • Machine listening
  • Source localisation
  • Speaker identification

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