Video shot boundary detection: An efficient and an accurate approach based on Gabor moments

B. H. Shekar, K. Raghurama Holla, M. Sharmila Kumari

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

In this paper, video shot boundary detection method based on Gabor moments is proposed. Each video frame is convolved with six 2-D Gabor filters corresponding to six different orientations, and the first and second moments of these convolved images are obtained, generating twelve dimensional feature vector. The frame dissimilarity values are compared against an adaptive threshold to localize the shot. Experimentation on the TRECVID video segments have been done to demonstrate the performance of the proposed approach for both cut and fade detection. The comparative study with other approaches is included to exhibit the superiority of the proposed approach in terms of efficiency and accuracy of shot detection.

Original languageEnglish
DOIs
Publication statusPublished - 01-01-2013
Event2013 4th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2013 - Jodhpur, Rajasthan, India
Duration: 18-12-201321-12-2013

Conference

Conference2013 4th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2013
CountryIndia
CityJodhpur, Rajasthan
Period18-12-1321-12-13

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All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

Cite this

Shekar, B. H., Raghurama Holla, K., & Sharmila Kumari, M. (2013). Video shot boundary detection: An efficient and an accurate approach based on Gabor moments. Paper presented at 2013 4th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2013, Jodhpur, Rajasthan, India. https://doi.org/10.1109/NCVPRIPG.2013.6776191