A robust shot transition detection method based on support vector machine in compressed domain
Pattern Recognition Letters
Local Subspace-Based Denoising for Shot Boundary Detection
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Simultaneous detection of abrupt cuts and dissolves in videos using support vector machines
Pattern Recognition Letters
Adaptive Shot Change Detection for Hardware Application
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Adaptive edge-oriented shot boundary detection
Journal on Image and Video Processing
An automatic shot change detection algorithm using weighting variance and histogram variation
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 2
A study of gradual transition detection in historic film material
Proceedings of the second workshop on eHeritage and digital art preservation
An unified transition detection based on bipartite graph matching approach
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Multimedia Tools and Applications
Gradual transition detection in historic film material—a systematic study
Journal on Computing and Cultural Heritage (JOCCH)
A robust and efficient shot boundary detection approach based on fisher criterion
Proceedings of the 20th ACM international conference on Multimedia
Video abstraction based on the visual attention model and online clustering
Image Communication
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A first step required to allow video indexing and retrieval of visual data is to perform a temporal segmentation, that is, to find the location of camera-shot transitions, which can be either abrupt (i.e., cuts) or gradual (e.g., fades, dissolves, wipes). After a critical review of most approaches seeking to solve this problem, we propose a unified detection model (both for abrupt and all types of gradual transitions), as well as an implementation whose results improve upon those of all the inspected reports. The innovation of the approach presented here is centered on mapping the space of inter-frame distances onto a new space of decision better suited to achieving a sequence-independent thresholding. This mapping aims to consider frame ordering information within the thresholding process; it is based on the parametric modeling of the patterns that transitions generate on the distances' output. As opposed to most reviewed works, our results are detailed over a large and representative sample of more than 1500 cuts and 250 gradual transitions, which make up a significant part (200 min) of the MPEG-7 testing material; this ensures a high degree of confidence in the validity of our approach.