UNIVERSITY OF MALTA
FACULTY OF INFORMATION AND COMMUNICATION TECHNOLOGY
DEPARTMENT OF COMMUNICATIONS AND COMPUTER ENGINEERING
Dissertation Preference FORM
CCE5900 -DISSERTATION
ACADEMIC SESSION 2016/2017
Name: _________________________________________
ID: ______________________________
E–Mail: ________________________________________
Date: _____________________________
Telephone / Mobile No: _________________________________
Students must choose TWO (2) project areas in order of numerical preference.
Unit
Code
Title
Supervisor(s)
1
Transmission of Multi-view Texture plus
Depth Video
Prof. Carl J. Debono
2
5G support for the Internet of Things
Prof. Saviour
Zammit
3
Error Control Coding for Communication
and/or Storage Systems
Prof. Victor
Buttigieg
4
5
a)
b)
c)
d)
Parallel programming
Image processing
Coding theory & practice
Some specific applications for
Android, Google APIs, Flickr APIs etc
Reconfigurable hardware (FPGAs) for
acceleration of signal processing/coding
algorithms.
Tick as indicated
above
Dr Johann Briffa
Dr Trevor Spiteri
NOTES: This form must reach the Department’s Secretary, Dept of Communications and Computer Engineering,
(Level 1, Block B, Room 22, ICT Building) by Friday 19th February 2016.
Signature of Student: ______________________
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Details on proposals
Supervisor
Prof. Carl J. Debono
Area/s
Transmission of Multi-view Texture plus Depth Video
Multi-view texture plus depth video is a possible transmission format for auto-stereoscopic
displays and free-viewpoint television. In this format, the natural scene is captured through
multiple cameras. The depth information can be either captured using depth sensors, such as
time-of-flight sensors, or generated from two views using signal processing techniques. All
the captured data has to be encoded and transmitted on bandwidth-limited channels.
Intermediate views are then generated using the texture and the depth data together with the
camera calibration parameters. The state-of-the-art standard is 3D-HEVC.
More Details
Possible aspects that can be tackled in this projects are: improvement in coding strategy,
performance of the transmission of such content on networks (such as LTE-Advanced,
Software-defined Networks, Network Functions Virtualization technologies, InformationCentric Networks, Cloud, etc.), or free-viewpoint system architectures.
Supervisor
Prof. Saviour Zammit
Area/s
5G support for the Internet of Things
More Details
This area of study is concerned with how IoT requirements are influencing the design of the
next generation 5G network.
Supervisor
Prof. Victor Buttigieg
Area/s
Error Control Coding for Communication and/or Storage Systems
More Details
This includes code construction techniques and optimal and sub-optimal decoding
algorithms.
Supervisor
Dr Johann Briffa
a) Parallel programming
b) Image processing
c) Coding theory & practice
d) Some specific applications for Android, Google APIs, Flickr APIs etc
Area/s
More Details
More information can be found at the below link:
https://jabriffa.wordpress.com/research/topics/
Supervisor
Dr Treovr Spiteri
Area/s
Reconfigurable hardware (FPGAs) for acceleration of signal processing/coding algorithms.
More Details
There are several signal processing and coding algorithms that are computationally
intensive, for example image processing and video coding algorithms can be quite complex.
For real-time operation of these algorithms, one way to accelerate the algorithms is to use
reconfigurable hardware, namely FPGAs. FPGA use makes sense when the algorithm can be
divided into parts that can run in parallel, as FPGAs support high parallelization. A project
in this area would focus on the acceleration of such an algorithm using FPGAs.
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