What's on TV: A large scale quantitative characterisation of modern broadcast video content

Felix Mercer Moss, Fan Zhang, Roland J Baddeley, David R Bull

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

3 Citations (Scopus)
488 Downloads (Pure)


Video databases, used for benchmarking and evaluating the performance of new video technologies, should represent the full breadth of consumer video content. The parameterisation of video databases using low-level features has proven to be an effective way of quantifying the diversity within a database. However, without a comprehensive understanding of the importance and relative frequency and of these features in the content people actually consume, the utility of such information is limited. Here, we present a large-scale analysis of programming on BBC One and CBeebies, the most popular television channels in the United Kingdom for adults and children, respectively. Twenty video features are extracted from almost three thousand television programmes shown throughout 2015 before principal components analysis is used to identify just five factors representing the most variation. The meaning and relative significance of these five factors together with the shape of their frequency distributions represent highly valuable information for researchers wanting to model the diversity of modern consumer content in representative video databases.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Image Process (ICIP 2016)
Subtitle of host publicationProceedings of a meeting held 25-29 September 2016, Phoenix, AZ, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)9781467399616
ISBN (Print)9781467399623
Publication statusPublished - Mar 2017
EventIEEE ICIP 2016 - Phoenix Convention Center, Phoenix, Arizona, United States
Duration: 25 Sep 201628 Sep 2016

Publication series

NameProceedings of the IEEE International Conference on Image Processing (ICIP)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISSN (Print)2381-8549


ConferenceIEEE ICIP 2016
Country/TerritoryUnited States
CityPhoenix, Arizona

Structured keywords

  • Cognitive Science
  • Visual Perception


  • Multimedia databases
  • image databases
  • parameter estimation
  • feature extraction
  • image sequence analysis
  • Standards
  • Databases
  • Loading
  • TV
  • Channel estimation
  • Programming
  • Color


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