Clustering in video data: Dealing with heterogeneous semantics of features

Author:

Harit Gaurav,Chaudhury Santanu

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference41 articles.

1. G. Harit, S. Chaudhury, Video shot interpretation using principles of perceptual grouping and perceptual prominence in spatio–temporal domain, in: Proceedings of the International Conference on Pattern Recognition (ICPR), vol. 4, 2004, pp. 256–259.

2. G. Harit, S. Chaudhury, Spatio–temporal grouping models and prominence models in perceptual organization for semantic interpretation of video shot, in: Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing, vol. 1, 2004, pp. 34–39.

3. S. Sarkar, Tracking 2D structures using perceptual organization principles, in: Symposium on Computer Vision SCV, 1995, pp. 283–288.

4. R. Megret, D. DeMenthon, A survey of spatio–temporal grouping techniques, Technical Report LAMP-094 CS-TR-4403, University of Maryland, College Park, 2002.

5. Computing spatiotemporal relations for dynamic perceptual organization;Allmen;Comput. Vision Graphics Image Process.: Image Understanding,1993

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3. An Approach to RBF Initialization with Feature Selection;Advances in Intelligent Systems and Computing;2015

4. Video Shot Characterization Using Principles of Perceptual Prominence and Perceptual Grouping in Spatio–Temporal Domain;IEEE Transactions on Circuits and Systems for Video Technology;2007-12

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