Slide localization in video sequence by using a rapid and suitable segmentation in marginal space

Sheetal Rajgure, Vincent Oria, Pierre Gouton

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

1 Scopus citations

Abstract

The paper is interested in indexing lecture videos for semantic search of learning material. We present a comparative study between DCT, Grayscale and Marginal space using classical k-means technique. For stable segmentation we propose to introduce an automatic threshold based on moment preservation. We discuss the suitability of each space on different images and then focus on educational video frames that are not so predominant in color and present the best transformation technique for segmentation of lecture video frame. We also present a technique to localize the slide based on some heuristics.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Color Imaging XIX
Subtitle of host publicationDisplaying, Processing, Hardcopy, and Applications
DOIs
StatePublished - Mar 3 2014
EventColor Imaging XIX: Displaying, Processing, Hardcopy, and Applications - San Francisco, CA, United States
Duration: Feb 3 2014Feb 5 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9015
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherColor Imaging XIX: Displaying, Processing, Hardcopy, and Applications
CountryUnited States
CitySan Francisco, CA
Period2/3/142/5/14

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Keywords

  • DCT space
  • Marginal space
  • educational video
  • k-means segmentation

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