RHANDLEY CAJOTE

Position: Professor
Laboratory Affiliation: Digital Signal Processing Laboratory
Room: 412
Telephone Number: +63-2-9818500 ext 3373
Email: rhandley.cajote@eee.upd.edu.ph
Research Interests: Image and Video Processing; Handwriting Recognition; Machine Vision; Stereo Imaging; Pattern Recognition
Educational Background:
PhD Electrical Engineering, Chulalongkorn University, 2011
MS Electrical Engineering, UP Diliman, 2004
BS Electrical Engineering, UP Diliman, 1998

Research Interest/Activities: My research interests are in the area of video communications and image processing. I am interested in solving some of the issues related to video communications for wired and wireless transmission using joint-source channel coding frameworks. Our image processing projects are currently focused on disaster assessment and structure detection, traffic monitoring algorithms and biomedical image processing in MRI. Graduate students intereested in these areas are welcome to our research group.
Recent Publication/s:
R.D. Cajote, S. Aramvith, Y. Miyanaga, “FMO-based H.264 frame layer rate control for low bit rate video transmission” EURASIP Journal on Advances in Signal Processing, Sept. 2011.
R.D.Cajote,S.Aramvith, “Chapter 12: Wireless Video Transmission”,In Shiquo Lian, Yan Zhang (eds), Handbook of Research on Secure Multimedia Distributions, IGI Global, May 2011 (ISBN: 1605662623, ISBN-13: 9781605662626), pp 212-241
C. J. De Guia, G. M. Delgado, H. Enomoto, R. D. Cajote, “Camera calibration and speed detection algorithms for video-based traffic monitoring”, Proc. Regional Conference in Electrical Engineering (AUN-RCEEE 2016), Hanoi, Vietnam, November 2016.
P. S. Ortiz, F. D. Santelices, K. O. Canuto, K. Ramos, R. D. Cajote, “Image processing algorithms for structure detection and damage assessment from satellite image,” Proc. Regional Conference on Computer and Information Engineering (AUN-RCCIE 2016), Yangon, Myanman, Oct. 2016.
D. A. Soriano, A. R. Allena, R. D. Cajote, “Extraction of road networks from high-resolution satellite images using image processing,” Proc. International Symposium on Multimedia and Communications (ISMAC 2016), Tokyo, Japan, Aug. 31 – July 1, 2016