Three-dimensional object recognition from single two-dimensional images
Artificial Intelligence
Shot Boundary Detection Based on Mutual Information and Canny Edge Detector
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 02
A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
IEEE Transactions on Image Processing
Rapid scene analysis on compressed video
IEEE Transactions on Circuits and Systems for Video Technology
Sports video summarization based on motion analysis
Computers and Electrical Engineering
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In this paper, we present a novel algorithm for shot boundary detection and key frame extraction from video sequences. Saliency maps representing the attended regions are produced from the color and luminance features of the video frames. Introducing a novel signal fidelity measurement -saliency based structural similarity index- the similarity of the maps is measured. Based on the similarities, shot boundaries and key frames are determined. Proposed algorithm is tested on neurosurgical videos and precision and recall performances are measured. Experimental results validate effectiveness of the proposed shot boundary detection and key frame extraction algorithm. Moreover, the algorithm is robust to dissolving digital video effects used in shot transition.