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- M. Tech. in Automotive Engineering -
- B. Sc. Clinical Nutrition, Dietetics, and Food Science - Undergraduate
Publication Type : Conference Proceedings
Publisher : Springer
Source : Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science Volume 9119, 2015
Campus : Amaravati
School : School of Engineering
Department : Mathematics
Year : 2015
Abstract : In this paper we present a new method for key frame detection. Our approach is based on a well known algorithm: Speeded-Up Robust Features (SURF), which is a crucial step of our method. The frames are compared by a SURF matcher, which allows to count the corresponding keypoints. The proposed method provides better results for professional and high resolution videos. The simulations we conducted proved the effectiveness of our approach. The algorithm requires only one input parameter.
Cite this Research Publication : RafalGrycuk, Michal Knop, Sayantan Mandal, “Video Key Frame Detection based on SURF Algorithm”, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science Volume 9119, 2015, pp 566-576.