Complex Signal Processing in Multimedia Applications (PCSAM)


Multimedia, as an attribute of systems or applications, means a set of data, text, sound, static or dynamic images, graphics and animations, stored on a digital medium and accessible interactively. The “multimedia mode” approach means the use of technologies that make these things possible.

Relevance to the job market

People benefit from the multimedia industry on a daily basis, often without realizing it. Along with the exponential development of this industry, the demand for skilled labour in the design of multimedia systems is constantly growing.

Required knowledge

The Master’s program continues and deepens the thematic area of ​​the Multimedia Applications course and the courses proposed for Specialization A2 of the undergraduate curriculum.

Competences and skills acquired

Graduates of this master’s cycle will know the following:

  • To design multimedia applications in accordance with the standards in force
  • To analyze and process complex audio-video signals
  • To design hardware and software structures for multimedia systems
  • To use the current communication media for the dissemination of multimedia applications.

Course structure

Year I, Semester I

Course 1:Advanced Methods of Complex Image Processing, 3D Image Analysis
Course 2:Advanced Signal Processing through Orthogonal Transforms
Course 3:Digital Signal Processors and Real-Time Video and Audio Processing
Course 4:Service Oriented Architectures and WEB Technologies
Course 5:Information Search and Retrieval Techniques
Course 6:Scientific Research 1
Facultative course:Design and Management of Educational Programs

Year I, Semester II

Course 1:Coding of Audio-Video Information with a High Degree of Security
Course 2:Fractal Techniques in Multimedia Applications
Course 3:Parallel Processing in Multimedia Applications
Course 4:Scientific Research 2
Course 5 (elective):Entrepreneurship, Intellectual Property Protection and Research Dissemination
Software Testing and Quality Assurance
Facultative disciplines:Counselling and guidance / Multimedia in education ( facultative 1 )

Year II, Semester I

Course 1:Remote Image Processing using Artificial Intelligence Techniques
Course 2:Complex Processing in Medical Imaging
Course 3:Application Planning and Project Management
Course 4:Scientific Research 3
Course 5 (elective):Virtual Reality Systems
Security of Computer Systems
Facultative disciplines:Didactics of the field and developments in the didactics of the specialization (high school, post-high school education)
Sociology of education / Intercultural Education (facultative 2)

Year II, Semester II

Course 1:Scientific Research, Practice and Dissertation Development
Course 2:Ethics and Academic Integrity

Research Themes

  • System for tracking, locating and collecting data from moving targets through mobile sensor networks
  • Telediagnosis and teleintervention centre for the management of technological installations in emergency situations
  • Intelligent alerting systems
  • Fault-tolerant control methods implementable in distributed systems
  • Using Fractal Techniques in Traffic Modeling and Optimization in Large Computer Networks
  • The use of artificial intelligence techniques in medical diagnosis
  • The use of neural networks in the segmentation of regions of interest in agriculture
  • The use of neural networks for the detection, classification and segmentation of objects from images acquired by drones/satellites.

Programming languages ​​and technologies used

C++, Java, Python, Verilog/VHDL

Other information

Teaching language: Romanian
Partner companies: ASTI Automation

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