Skip to main navigation Skip to search Skip to main content

Study the effect of commonly used video compression techniques on sound recovery via negligible object vibrations for visual surveillance system

  • S. Y. Lee
  • , W. S. Yap
  • , Y. C. Hum
  • , B. H. Kwan
  • , B. M. Goi
  • , Y. K. Tee
  • , Z. Jin

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Abstract

Closed circuit televisions (CCTVs) are becoming an inseparable part of our daily lives. The growth in surveillance technologies have provided a sense of security, leading to a lower crime rate in the monitored area. However, almost all the outdoor CCTVs are not equipped with a built-in microphone for sound recording due to some practical reasons. Recently, it has been shown that it is possible to recover sound via subtle vibrations of an object in a high speed video, leading to an overwhelming interest in remote sound acquisition. This study extends the literature further by investigating the feasibility of sound recovery from some commonly used CCTV compression techniques which can result in the compressed video file size to be more than 100 times smaller than the original high speed video. Qualitative and quantitative measures were used to evaluate the sounds recovered. It was found that high quality sounds could be recovered via video in the format of some commonly used compression techniques in CCTVs. These findings may pave the way to enable the CCTVs to have not only 'eyes' but also 'ears' to improve the surveillance system, despite not having any audio input.

Original languageEnglish
Title of host publicationICAIP 2018 - 2018 the 2nd International Conference on Advances in Image Processing
EditorsYan Yang
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages111-115
Number of pages5
ISBN (Electronic)9781450364607
DOIs
Publication statusPublished - 2018
EventInternational Conference on Advances in Image Processing 2018 - Chengdu, China
Duration: 16 Jun 201818 Jun 2018
Conference number: 2nd
https://dl.acm.org/doi/proceedings/10.1145/3239576 (Proceedings)

Conference

ConferenceInternational Conference on Advances in Image Processing 2018
Abbreviated titleICAIP 2018
Country/TerritoryChina
CityChengdu
Period16/06/1818/06/18
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Keywords

  • CCTV
  • Component
  • H.264
  • MJPEG
  • MPEG-4
  • Survellience system
  • Visual microphone

Cite this