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

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

doi:10.1109/NCVPRIPG.2013.6776191

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 conference › Paper › peer-review

5 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 language	English
DOIs	https://doi.org/10.1109/NCVPRIPG.2013.6776191
Publication status	Published - 2013
Event	2013 4th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2013 - Jodhpur, Rajasthan, India Duration: 18-12-2013 → 21-12-2013

Conference

Conference	2013 4th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2013
Country/Territory	India
City	Jodhpur, Rajasthan
Period	18-12-13 → 21-12-13

All Science Journal Classification (ASJC) codes

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

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10.1109/NCVPRIPG.2013.6776191

Cite this

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title = "Video shot boundary detection: An efficient and an accurate approach based on Gabor moments",

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.",

author = "Shekar, \{B. H.\} and \{Raghurama Holla\}, K. and \{Sharmila Kumari\}, M.",

year = "2013",

doi = "10.1109/NCVPRIPG.2013.6776191",

language = "English",

note = "2013 4th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2013 ; Conference date: 18-12-2013 Through 21-12-2013",

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Shekar, BH, 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, 18-12-13 - 21-12-13. https://doi.org/10.1109/NCVPRIPG.2013.6776191

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

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Video shot boundary detection

T2 - 2013 4th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2013

AU - Shekar, B. H.

AU - Raghurama Holla, K.

AU - Sharmila Kumari, M.

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

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Y2 - 18 December 2013 through 21 December 2013

ER -

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

Abstract

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