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Zaynab El khattabi
Abdelmalek Essaadi University,Tetuan, Morocco
Computer Science & IT Electrical & Electronics Engineering

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Video Shot Boundary Detection using the Scale Invariant Feature Transform and RGB Color Channels Zaynab El khattabi; Youness Tabii; Abdelhamid Benkaddour
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 5: October 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2206.324 KB) | DOI: 10.11591/ijece.v7i5.pp2565-2673

Abstract

Segmentation of the video sequence by detecting shot changes is essential for video analysis, indexing and retrieval. In this context, a shot boundary detection algorithm is proposed in this paper based on the scale invariant feature transform (SIFT). The first step of our method consists on a top down search scheme to detect the locations of transitions by comparing the ratio of matched features extracted via SIFT for every RGB channel of video frames. The overview step provides the locations of boundaries. Secondly, a moving average calculation is performed to determine the type of transition. The proposed method can be used for detecting gradual transitions and abrupt changes without requiring any training of the video content in advance. Experiments have been conducted on a multi type video database and show that this algorithm achieves well performances.
Co-Authors Abdelhamid Benkaddour Youness Tabii