Amaia Méndez Zorrilla, Eneko Lopetegui Alba, Begoña García Zapirain


  1. [1] “Taking care of your voice”.http://www.nidcd.nih.gov.
  2. [2] Poburka, B. “A New Stroboscopy Rating Form”.Journal of Voice, Vol. 13, No. 3, pp. 403-413. 1999
  3. [3] Manfredi, C., Bocchi, L., Bianchi, S., Migali, N.,Cantarella, G. “Objective vocal fold vibration assessmentfrom videokymographic images”. Biomedical SignalProcessing and Control Volume 1, Issue 2, April 2006,Pages 129-136
  4. [4]Akutsu A., Tonomura Y., Hashitomo H. “Videoindexing using motion vectors”. Visual Communicationsand Image Processing ’92. Boston (USA). 1992.
  5. [5]Vella F., Castorina A., Mancuso M., Messina G.“Digital image stabilization by adaptative block motionvectors filtering”. Consumer Electronics. 48 (3): 796-801.August 2002.
  6. [6] Zhou S., Huang Q., Shi J. “State space modeling ofdimensional variation propagation in multistagemachining process using differential motion vectors”.Robotics and Automation. 19 (2): 296-309. April 2003.
  7. [7] Richardson I.E.G, “H.264 and MPG-4 VideoCompression: Video Coding for Next-GenerationMultimedia”. Wiley.
  8. [8] Richardson IEG. “Video Codec Design”. WestSussex: John Wiley &sons Ltd. 2002.
  9. [9] J. R. Jain and A. K. Jain, “Displacement measurementand its application in interframe image coding,” IEEETrans. Commun., vol. COM-29, pp. 1799–1808, Dec.1981.
  10. [10] D.-W. Kim, J.-S. Choi, and J.-T. Kim, “Adaptivemotion estimation based on spatio–temporal correlation,”Signal Process.: Image Commun., vol. 13, pp. 161–170,1998.
  11. [11] Hariharakrishnan K., Schonfeld D. “Fast objecttracking using adaptive block matching”. IEEE Trans.Multimedia. vol 7 (5),pp 853-859, 2005.
  12. [12] Palm, C., Keysers, D., Lehmann, T., Spitzer, K."Gabor Filtering of Complex Hue/Saturation Images forColor Texture Classification'' in Proc. JCIS, Atlantic City,USA, pp. 45-49, 2000.
  13. [13] Welling, M- “Fisher Linear Discriminant Analysis”.2006. http://www.cs.huji.ac.il/~csip/Fisher-LDA.pdf
  14. [14] Bishop C.M. “Pattern Recognition and MachineLearning”. Springer. 2006.
  15. [15] Pearson K. On lines and planes of closest fit tosystems of points in space. Philosophical Magazine,2:559-572, 1901.
  16. [16] Hotelling, H. Analysis of a complex of statisticalvariables into principal components. Journal ofEducational Psychology, 24:417-441, 498-520, 1933.
  17. [17] Karhunen K.. Uber lineare methoden in derWahrsccheilichkeitsrechnung. Annales AcademiaeScientiarum Fennicae, Seried A1: Mathematica-Physica,37:3-79, 1947.
  18. [18] Loéve, M. Probability Theory. Van Nostrand, NewYork, 1963.
  19. [19] De la Torre, F, Black, M. J. Robust PrincipalComponent Analysis for Computer Vision. Conf. onComputer Vision (ICCV’2001), Vancouver, Canada, July2001.
  20. [20] Pujol A., Vitrià J, Lumbreras F, Villanueva J. J.Topological Principal Component Analysis for faceencoding and recognition. Pattern Recognition Letters 22.769-776. 2001.
  21. [21] Lei Du, Zhenhong Jia, Liang Xue. Human FaceRecognition Based on Principal Component Analysis and578Particle Swarm Optimization -BP Neural Network. ThirdInternational Conference on Natural Computation (ICNC2007). Haikou, China. 2007.
  22. [22] Proakis J, Manolakis D. “Digital Signal Processing”.Prentice Hall. 2007.
  23. [23] Gonzalez & Woods. “Digital Image Processing”. 3rdEdition. Prentice Hall. 2008.
  24. [24] Van den Boomgard, Rein, and Richard van Balen,"Methods for Fast Morphological Image TransformsUsing Bitmapped Images," Computer Vision, Graphics,and Image Processing: Graphical Models and ImageProcessing, Vol. 54, No. 3, May 1992, pp. 252-254.
  25. [25] Adams, R. "Radial Decomposition of Discs andSpheres," Computer Vision, Graphics, and ImageProcessing: Graphical Models and Image Processing, Vol.55, No. 5, September 1993, pp. 325-332.
  26. [26] Ronald, J. and Soille, P. "Periodic lines: Definition,cascades, and application to granulometrie," PatternRecognition Letters, Vol. 17, 1996, pp. 1057-1063.
  27. [27] Chan, M.H.; Yu, Y.B.; Constantinides, A.G.“Variable size block matching motion compensation withapplications to video coding”. Communications, Speechand Vision, IEE Proceedings I. August 2002.
  28. [28] Barjatya A. “Block Matching Algorithms for MotionEstimation”.2004.http://www.asb.bth.se/MultiSensorSystem/siamak.khatibi/computerVisionBTH10Summer/papers/BlockMatchingAlgorithmsForMotionEstimation.pdfFigure 8. Motion Vectors in a Sequence withparalysisFigure 9. Motion Vectors in a sequence withoutparalysis.579

Important Links:

Go Back