Markov stationary color descriptor

Details Markov stationary color descriptor Markov stationary color descriptor

2007-12-30

2011-11-15

Couso, Jose (Department: 2624)

Image analysis

Color image processing

Reexamination Certificate

active

08059891

ABSTRACT:
A method for generating a Markov stationary color (MSC) descriptor is disclosed. The MSC descriptor may be used for image/video content representation, which characterizes both intra-color and inter-color spatial relationships in images. The MSC descriptor has a low storage requirement, relative to some other color descriptors.

REFERENCES:
patent: 5915036 (1999-06-01), Grunkin et al.
patent: 6263103 (2001-07-01), Freeman et al.
patent: 6751354 (2004-06-01), Foote et al.
patent: 7062083 (2006-06-01), Lim et al.
patent: 7130465 (2006-10-01), Muenzenmayer et al.
patent: 7310589 (2007-12-01), Li
patent: 7509580 (2009-03-01), Sezan et al.
patent: 7657100 (2010-02-01), Gokturk et al.
patent: 7711174 (2010-05-01), Sammak et al.
patent: 7814040 (2010-10-01), Zhang et al.
Bingbing, Li et al., “Directed Markov Stationary Features for Visual Classification”, Accoustics, Speech and Signal Processing, ICASP 2009, Apr. 2009, pp. 825-828.
Schwartz, William Robson et al., “Texture Classification Based on Spatial Dependence Features Using Co-occurrence Matrices and Markov Random Fields”, 2004 International Conference on Image Processing, Oct. 2004, pp. 239-242.
Benezeth, Y. et al., “Abnormal Events Detection Based on Spatio-Temporal Co-Occurrences”, Computer Vision and Pattern Recognition 2009, Jun. 2009, pp. 2458-2465.

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