DIGITAL VIDEO PROCESSING

Course Information
TitleΨΗΦΙΑΚΗ ΕΠΕΞΕΡΓΑΣΙΑ ΕΙΚΟΝΟΣΕΙΡΩΝ/VIDEO / DIGITAL VIDEO PROCESSING
CodeNDM-08-01
FacultySciences
SchoolInformatics
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorIoannis Pitas
CommonNo
StatusActive
Course ID40002979

Programme of Study: Undergradute Studies - School of Informatics (2015-today)

Registered students: 7
OrientationAttendance TypeSemesterYearECTS
Information SystemsElective Courses845
Digital MediaElected Compulsory Directional845
Communication, Networks And Systems ArchitectureElective Courses845
Information And Communication Technologies In EducationElective Courses845
General Common DirectionElective Courses845

Class Information
Academic Year2015 – 2016
Class PeriodSpring
Faculty Instructors
Weekly Hours3
Class ID
600004981
Type of the Course
  • Scientific Area
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Basic knowledge in digital image processing. Programming skills. Good level of English.
Learning Outcomes
a) Course objectives /outcomes and competences: a) Knowledge: Familiarization with the fundamental principles, theory algorithms and technology of digital and analog video, video digitization, digital TV, video processing, analysis, compression/storage and retrieval. Exposure to digital video processing programming using C/C++ and MATLAB. Acquaintance with digital video processing and studio systems and their application in areas such as social media, video communication, videoconferencing, broadcasting, webcasting etc. b) Skills: Setting the foundations for advanced studies on digital video processing issues and applications in social media, video communication, videoconferencing, broadcasting, webcasting. Acquisition of skills in the use and development of digital video processing algorithms. Promoting analytical and programming skills. Ability to develop basic digital video processing applications using C/C++, MATLAB, Adobe Premier, Avid.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Work autonomously
  • Work in teams
  • Generate new research ideas
Course Content (Syllabus)
Analog and digital video. Video digitization. Time-variant image formation models. Methods for 2-D motion estimation. Methods for 3-D motion estimation and segmentation. Image sequence filtering. Depth from motion. Video compression. The MPEG-1, MPEG-2 and MPEG-4 standards. Model-based coding. Video analysis, indexing and retrieval. The MPEG-7 standard. Video streaming/webcasting. Video in social media (YouTube) . Programming assignments in C/C++ and MATLAB.
Educational Material Types
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures1053.5
Reading Assigment60.2
Written assigments240.8
Exams150.5
Total1505
Student Assessment
Description
Written exams. Literature survey or programming assignments or proodos or oral presentations provide an additional 2-4 points, if the exam mark is at least 4.
Student Assessment methods
  • Written Exam with Short Answer Questions (Formative)
  • Written Assignment (Formative)
  • Oral Exams (Formative)
  • Tests
Bibliography
Course Bibliography (Eudoxus)
α. Προτεινόμενη βιβλιογραφία & υλικό Πήτας Ι. «Ψηφιακή Επεξεργασία Βίντεο-Ψηφιακή Τηλεόραση», Θεσσαλονίκη, 2010. β. Επιπρόσθετη βιβλιογραφία M. Tekalp, "Digital Video Processing", Prentice Hall PTR, 1996. Yao Wang, Jorn Ostermann, and Ya-Qin Zhang, "Video Processing and Communications", Prentice Hall, 2001.
Additional bibliography for study
a) Recommended bibliography & material Πήτας Ι. «Ψηφιακή Επεξεργασία Βίντεο-Ψηφιακή Τηλεόραση», Θεσσαλονίκη, 2010. b) Additional bibliography M. Tekalp, "Digital Video Processing", Prentice Hall PTR, 1996. Yao Wang, Jorn Ostermann, and Ya-Qin Zhang, "Video Processing and Communications", Prentice Hall, 2001.
Last Update
02-03-2016