On the Detection of Dominant Points on Digital Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video segmentation using a histogram-based fuzzy c-means clustering algorithm
Computer Standards & Interfaces
A fuzzy theoretic approach for video segmentation using syntactic features
Pattern Recognition Letters
Video segmentation based on 2D image analysis
Pattern Recognition Letters - Special issue: Sibgrapi 2001
A fuzzy logic approach for detection of video shot boundaries
Pattern Recognition
Efficient Non-Parametric Corner Detection: An Approach Based on Small Eigenvalue
CRV '07 Proceedings of the Fourth Canadian Conference on Computer and Robot Vision
Adaptive Shot Change Detection Technique for Real-Time Operation on PMP
ICCIT '08 Proceedings of the 2008 Third International Conference on Convergence and Hybrid Information Technology - Volume 01
Split and Merge Based Story Segmentation in News Videos
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
A robust scene-change detection method for video segmentation
IEEE Transactions on Circuits and Systems for Video Technology
Shot-boundary detection: unraveled and resolved?
IEEE Transactions on Circuits and Systems for Video Technology
A non parametric shot boundary detection: an eigen gap based approach
COMPUTE '11 Proceedings of the Fourth Annual ACM Bangalore Conference
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Detection of shot boundaries in a video has been an active for quite a long time, till the TRECVID community almost declared it as a solved problem. A problem is assumed to be solved when there is no significant improvement being achieved from that of the state-of-the art methodologies. However, certain aspects can still be researched and improved. For instance, finding appropriate parameters instead of empirical thresholds to detect the shot boundaries is very challenging and is still being researched. In this paper, we present a fast, adaptive and non-parametric approach for detecting shot boundaries. Appearance based model is used to compute the difference between two subsequent frames. These frame distances, are then used to locate the shot boundaries. The proposed shot boundary detection algorithm uses an asymmetric region of support that automatically adapts to the shot boundaries. Experiments have been conducted to verify the effectiveness and applicability of the proposed method for adaptive shot segmentation.