Keyframe Extraction Using Binary Robust Invariant Scalable Keypoint Features

摘要

In recent years, research in the field of keyframe extraction become more attractive due to its use in advancedapplications like video surveillance. In this paper, we introduce a novel algorithm of keyframe extraction which utilizesBinary Robust Invariant Scalable Keypoint features to obtain the dissimilarity level of consecutive frames andestablishes shot transition boundary, from where we extract keyframes. The frame at which dissimilarity level is high istaken as a keyframe. The proposed algorithm is tested on ten different videos of animation category. Performance of themethod 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-of the-art methods.