This course introduces tools and techniques for creating and handling multimedia content (text, hypertext, voice, audio, animation, images and video). Algorithms, standards and protocols on which multimedia information and multimedia communications depend are covered. Maturity in computer science and basic knowledge in digital signal processing are required. The following topics are covered:
Hypermedia
Digital image
Digital video
2-D animation
Digital audio
Multimedia applications development
Fundamental methods of compression / signal encoding
Audiovisual coding standards(JPEG, MPEG)
New video coding standards (Η.264, Η.265)
Content description standard (MPEG-7)
Content-based retrieval in audiovisual libraries
Video summarization
Internet Multimedia Content Distribution
Multimedia Over Wireless and Mobile Networks
Protocols for Multimedia Communications
Learning Outcomes
Knowledge: Having attended and successfully completed the course, the student has acquired a comprehensive and robust mathematical background in the use of audiovisual signals that comprise multimedia information Understanding: Having attended and successfully completed the course, the student has understood fundamental aspects of audiovisual signal technology, including their capture, digitization, and storage. Application: Having attended and successfully completed the course, the student is capable of processing voice, audio, image, and video signals. Analysis: Having attended and successfully completed the course, the student is able to analyze fundamental techniques for signal compression, multimedia information transmission in telecommunication networks, and its storage in digital media concisely and reliably. Synthesis: Having attended and successfully completed the course, the student is familiar with the majority of modern compression standards. Evaluation: Having attended and successfully completed the course, the student is able to evaluatealternative methods of compressing and transmitting multimedia content through different communication channels and across various devices.
Student Performance Evaluation
Specific details on grading can be found on the course’ s website
The courses of the Computer Science Department are designated with the letters "CS" followed by three decimal digits. The first digit denotes the year of study during which students are expected to enroll in the course.
First Digit
Advised Year of Enrollment
1,2,3,4
First, Second, Third and Fourth year
5,6
Graduate courses
7,8,9
Specialized topics
Code
Computer Science Area
A1
Computer architecture and microelectronics
A2
Computer systems, parallel and high performance computing
A3
Computer security and distributed systems
A4
Computer networks, mobile computing, and telecommunications
B1
Algorithms and systems analysis
B2
Databases, information and knowledge management
B3
Software engineering and programming languages
B4
Artificial Intelligence and machine learning
C1
Signal processing and analysis
C2
Computer vision and robotics
C3
Computer graphics and human-computer interaction
C4
Βioinformatics, medical informatics, and computational neuroscience
The following pages contain tables (one for each course category) summarizing courses offered by the undergraduate studies program of the Computer Science Department at the University of Crete. Courses with code-names beginning with "MATH" or "PHYS" are taught by the Mathematics Department and Physics Department respectively at the University of Crete.