Research

Multimedia Communication and Signal Processing Research Group (McSP)

mcsp_logo

Motivation

The vision of being able to communicate from anywhere at anytime with any type of information has lead to the convergence between the areas of multimedia processing and communication. This new area called multimedia communication and signal processing is expected to achieve unprecedented growth and worldwide commercial success.

Challenges and Solutions

The processing and communication of non-conventional types of data (e.g. images and video) bring new challenges to traditionally established areas of communication, computing and electronics engineering. To face these challenges, complete multimedia processing and communication systems are likely to draw together solutions from different subjects such as computer vision, image processing, human-computer interaction, source coding, channel coding, network design, and digital signal processing (DSP) among others. This is a truly interdisciplinary and exciting area of research and development.

Mission and Objectives

The MCSP research group was established to undertake and promote R&D in multimedia communication and signal processing. The objectives of the group are to:

  • achieve improvements in the theory, design, implementation and operation of multimedia communication and signal processing systems and their applications, and
  • disseminate the results of this research to industry and the international research community

Research Areas

  • Source Coding
  • Motion analysis
  • Dynamic Scene Understanding
  • AI Applications in Multimedia
  • Image Processing
  • Remote sensing
  • Watermarking
  • Digital filters
  • Fractional Signal Processing

Members

 

Ph.D. Students

                         Remote sensing image fusion

                         Early detection of lung cancer based on sputum color images analysis

                         Link adaptation for wireless video communication systems

 

MSc by Research Students

  • Saeed Al Nuaimi      

                     Design and analysis of algorithms for obtaining super resolution satellite images

 

Bsc Students (Final Year Project)

  • Hamad Al Nauaimi           

                    Algorithms for embedding telephone numbers in colour images captured by mobile phone cameras

  • Ali Al Abdouli          

                    Developing algorithms for obtaining a high resolution image from a set of low resolution images

  • Saad Hammadi           

                    Algorithms for watermarking audio files

  • Ali Al Muhairi           

                    Real-time facial expression detection

  • Omar Belhaj            

                    Algorithms for watermarking remote sensing colour satellite still images

  • Mohamed Al-Awadhi      

                    Algorithms for monitoring the water quality in the Arabian Gulf by using remote sensing satellites

  • Salem Al-Zaabi            

                    Using TRMM multi-sensors to retrieve surface soil moisture and vegetation estimates over the UAE

  • Sultan Al-Shamsi            

                    An Algorithm for hiding secret Information in multiple images

  • Rashid Khalifa            

                    Using TRMM multi-sensors to retrieve freezing altitude mapping estimation over the UAE

  • Saif Al-Ali            

                    Image compression techniques for satellite images

  • Sulaiman Obaid           

                    Vegetation monitoring using satellite images