Stereoscopic video description for key-frame extraction in movie summarization

Ioannis Mademlis, Nikos Nikolaidis, Ioannis Pitas

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

16 Citations (Scopus)
327 Downloads (Pure)

Abstract

A novel, low-level video frame description method is proposed that is able to compactly capture informative image statistics from luminance, color and stereoscopic disparity video data, both in a global and in various local scales. Thus, scene texture, illumination and geometry properties may succinctly be contained within a single frame feature descriptor, which can subsequently be employed as a building block in any key-frame extraction scheme, e.g., shot frame clustering. The computed key-frames are subsequently used to derive a movie summary in the form of a video skim, which is suitably post-processed to reduce stereoscopic video defects that cause visual fatigue and are a by-product of the summarization.
Original languageEnglish
Title of host publication2015 23rd European Signal Processing Conference (EUSIPCO)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages819-823
Number of pages5
ISBN (Electronic)9780992862633
ISBN (Print)9781479988518
DOIs
Publication statusPublished - 28 Dec 2015
Event23rd European Signal Processing Conference, EUSIPCO 2015 - Nice, France
Duration: 31 Aug 20154 Sept 2015

Publication series

NameProceedings of the European Signal Processing Conference (EUSIPCO)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISSN (Print)2219-5491

Conference

Conference23rd European Signal Processing Conference, EUSIPCO 2015
Country/TerritoryFrance
CityNice
Period31/08/154/09/15

Keywords

  • Video Summarization
  • Stereoscopic Video Description
  • Bag-of-Features

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