Keyframe extraction using binary robust invariant scalable keypoint features
Ashish Khare, Reddy M. B, Manish Khare · 2020
In recent years, research in the field of keyframe extraction become more attractive due to its use in advanced applications like video surveillance. In this paper, we introduce a novel algorithm of keyframe extraction which utilizes Binary Robust Invariant Scalable Keypoint features to obtain the dissimilarity level of consecutive frames and establishes shot transition boundary, from where we extract keyframes. The frame at which dissimilarity level is high is taken as a keyframe. The proposed algorithm is tested on ten different videos of animation category. Performance of the method is assessed using the evaluation metrics- Figure of merit, Detection percentage, Accuracy and missing factor. The experimental results and analysis shows improved performance of the proposed algorithm over the other state-ofthe-art methods.