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Title: A hierarchical shot boundary detection algorithm using global and local features
Authors: Verma M.
Raman, Balasubramanian
Kumar S.
Raman B.
Roy [initials]P.P.
Sen D.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: Avideo is considered as high dimensional datawhich is tedious to process. Shot detection and key frame selection are activities to reduce redundant data from a video and make it presentable in few images. Researchers have worked in this area diligently. Basic shot detection schemes provide shot boundaries in a video sequence and key frames are selected based on each shot. Usually in video clips, shots repeat after one another, in that case the basic shot detection scheme gives redundant key frames from same video. In this work, we have proposed a hierarchical shot detection and key frames selection scheme which reduce a considerable amount of redundant key frames. For temporal analysis and abrupt transformation detection, color histogram has been used. After shot detection, spatial analysis has been done using local features. Local binary patterns have been utilized for local feature extraction. The proposed scheme is applied to three video sequences of news video, movie clip and tv-advertisement video. © Springer Science+Business Media Singapore 2017.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2017), 389- 397
Issue Date: 2017
Publisher: Springer Verlag
Keywords: Keyframe
Local binary pattern
Shot boundary
Spatial analysis
Temporal analysis
ISBN: 9.78981E+12
ISSN: 21945357
Author Scopus IDs: 56405124100
Author Affiliations: Verma, M., Mathematics Department, IIT Roorkee, Roorkee, India
Raman, B., Computer Science and Engineering Department, IIT Roorkee, Roorkee, India
Corresponding Author: Verma, M.; Mathematics Department, IIT RoorkeeIndia; email:
Appears in Collections:Conference Publications [CS]

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