Feature extraction and statistical analysis of videos for cinemetric applications

Christos Avgerinos, Nikos Nikolaidis, Vasileios Mygdalis, Ioannis Pitas

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

3 Citations (Scopus)
251 Downloads (Pure)

Abstract

In this paper, we describe a framework for the extraction of low-level and high level information from movies in order to be used for cinemetric applications. The developed framework analyses the available video content and extracts characteristics related to color, motion, contrast, shot length, tempo, face to frame ratios etc. The extracted information is stored in MPEG 7 AVDP profile format, which is a standard description format that can be imported to related cinemetric
applications. We applied the developed framework in a collection of downloaded videos, as well as 3 stereoscopic movies.
Original languageEnglish
Title of host publication2016 Digital Media Industry & Academic Forum (DMIAF 2016
Subtitle of host publicationProceedings of a meeting held 4-6 July 2016, Santorini, Greece
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages172-175
Number of pages4
ISBN (Electronic)9781509010004
ISBN (Print)9781509010011
DOIs
Publication statusPublished - Oct 2016
EventIEEE Digital Media Industry and Academic Forum - Santorini, Greece
Duration: 4 Jul 20166 Jul 2016

Conference

ConferenceIEEE Digital Media Industry and Academic Forum
Abbreviated titleDMIAF
CountryGreece
CitySantorini
Period4/07/166/07/16

Keywords

  • Motion pictures
  • Image color analysis
  • Videos
  • Face
  • Data mining
  • Rhythm
  • Feature extraction

Fingerprint Dive into the research topics of 'Feature extraction and statistical analysis of videos for cinemetric applications'. Together they form a unique fingerprint.

Cite this