Pseudo-similarity of information objects

• Autorzy: Kompanets L.
• Języki publikacji: EN

Abstrakty

EN

With complex multimedia data, we see the emergence of multimedia systems (for example, biometric identification/authentication ones) in which the fundamental operation is a similarity assessment of natural information-carrying objects. It has been developed a similarity measure JeK, based on new notion of pseudo-entropy. The measure exhibits several features that match experimental findings in multimedia perception. It has been shown how the measure can use for identification/authentication of complex "non-mathematical" biometric objects, such as faces and its emotions, voices, and so on. The pseudo-entropy measure JeK is addressed to deal with relations among the varied properties of 1D, 2D, and nD biometric objects.

Słowa kluczowe

EN

information theoretic measure; pseudo-entropy; multimedia system design; biometric identification/authentication technique; face recognition

• Wydawca: Wydawnictwo Politechniki Częstochowskiej
• Czasopismo: Informatyka Teoretyczna i Stosowana
• Rocznik: 2002
• Tom: R. 2, nr 2
• Strony: 55--67
• Opis fizyczny: Bibliogr. 15 poz., 8 rys., 2 tab.

Twórcy

autor

Kompanets L.

• Institute of Mathematics and Computer Science, Technical University of Częstochowa Dąbrowskiego 73, 42.200 Częstochowa

Bibliografia

• [1] Jain, Anil K., Fundamentals of Digital Image Processing. 4-th edn., Prentice-Hall International, Inc.
• [2] Vajda J., On the f-Divergence and Similarity of Probability Measures, Period. March. Hung. 1972, 2, 223-226.
• [3] Santini S., Jain R., Similarity Measures, IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI) 1999, 21, 9, 871-883.
• [4] Pantic M., Rothkrantz L. J.A.M., Automatic Analysis of Face Expressions: The State of the Art., PAMI 2000, 22, 12, 1,425-1,445.
• [5] Lyons M.J., Budynek J., Akamatsu S., Automatic Classification of Single Facial Images, PAMI 1999, 21,12, 1, 1,357-1,362.
• [6] Craw I., Costen N., Kato T., Akamatsu S., How Should We Represent Faces for Automatic Recognition? PAMI 1999, 21, 8, 725-736.
• [7] Picard R.W., Vyzas E., Healey J., Towards Machine Emotional Intelligence: Analysis of Affective Physiologica lState, PAMI 2001, 23, 10, 1,175-1,191.
• [8] Kompanets L.F., Krasnoproshyna A.A., Malyukov N.N., Mathematical Base of Research in Automatics and Control, Vyshcha Shkola, Kiev 1992 (in Russian).
• [9] Kompanets L.F., The Computer Criterion JeK for Quality Estimating of Information Transformation,(w:) Intellectualization of Information Messages Processing Systems, The Institute of Mathematics of National Academy of Ukraine Press 1995, 1, 101-106 (in Russian).
• [10] Kompanets L.F., Introduction to Pseudo-Entropy Quantitative Theory of Information Transformations and/or Technologies, Proc. 3rd Intern. Symposium Methods and Models in Automation and Robotics, Międzyzdroje 1996, vol. 2, 665-670.
• [11] Kompanets L., Piech H., Pilarz A., Pseudo-Entropy and Beyond, Proc. 2nd Intern. Conf. Parallel Processing and Applied Mathematics, Zakopane 1997.
• [12] Kompanets L., Piech H., Pilarz A., Noncanonical stochastic models, Proc. Intern. Workshop Parallel Numerics’97, Zakopane 1997, 243-254.
• [13] Kompanec L., Bobulski J., Badanie podstawowych właściwości korelacyjnych, entropijnych i pseudoentropijnych kryteriów progowania scen niejednorodnych, Informatyka Teoretycznai Stosowana 2001, 1, 1, 9-16.
• [14] Kompanets L., Pseudo-Entropy Measure JeKof Similarity for Biometric Applications, The IEEE Auto ID’02 Proceedings of 3rd Workshop on Automatic Identification Advanced Technologies, Tarrytown, New York 2002, 142-146.
• [15] Kompanets L., Bobulski J., Wyrzykowski R., Pseudo-Entropy Similarity for Human Biometrics, Post-ECCV (7 th European Conferenee on Computer Vision 2002) W4 Workshop on Biometric Authentication. Copenhagen, Denmark, June, 1st 2002. Lecture Notes in Computer Scienees, (w druku).