Inverse Sets-based Recognition of Video Clips

The paper discusses the mathematics of pattern indexing and its applications to recognition of visual patterns that are found in video clips. It is shown that (a) pattern indexes can be represented by collections of inverted patterns, (b) solutions to pattern classification problems can be found as intersections and histograms of inverted patterns and, thus, matching of original patterns avoided.

Authors:

• Alexei M. Mikhailov

Keywords:

• Artificial neural cortex
• computational biology
• data mining
• pattern recognition.

References:

[1] A. Mikhailov, and Y. M. Pok, "Artificial neural cortex," in Proc. of
Artificial Neural Networks in Engineering Conf., vol. 11, St. Louis,
2001, pp. 113-120.
[2] A. Mikhailov, and Y. M. Pok, "How does the Grey Matter Work?" in
Proc. of International Congress on Biological and Me4dical
Engineering, December 2002, Singapore.
[3] A. Mikhailov, "Biologically Inspired Artificial Neural Cortex and its
Formalism", World Academy of Engineering, Science and Technology,
vol.56 (2009), pp. 121-125.