MULTIMEDIA CONTENT ANALYSIS, DESCRIPTION AND PROTECTION ON THE WEB

Course Information
TitleΑΝΑΛΥΣΗ, ΠΕΡΙΓΡΑΦΗ ΚΑΙ ΠΡΟΣΤΑΣΙΑ ΠΟΛΥΜΕΣΙΚΩΝ ΔΕΔΟΜΕΝΩΝ ΣΤΟΝ ΠΑΓΚΟΣΜΙΟ ΙΣΤΟ / MULTIMEDIA CONTENT ANALYSIS, DESCRIPTION AND PROTECTION ON THE WEB
CodeNDM18
FacultySciences
SchoolInformatics
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
CoordinatorAnastasios Tefas
CommonNo
StatusActive
Course ID40003488

Programme of Study: PPS School of Informatics (2014-today)

Registered students: 8
OrientationAttendance TypeSemesterYearECTS
TECΗNOLOGIES GNŌSĪS DEDOMENŌN KAI LOGISMIKOUElective Courses217.5
TECΗNOLOGIES PLĪROFORIAS KAI EPIKOINŌNIŌN STĪN EKPAIDEUSĪElective Courses217.5
PSĪFIAKA MESA- YPOLOGISTIKĪ NOĪMOSYNĪElective Courses belonging to the selected specialization217.5
DIKTYAKA SYSTĪMATAElective Courses217.5

Class Information
Academic Year2015 – 2016
Class PeriodSpring
Faculty Instructors
Weekly Hours3
Class ID
600011314
Type of the Course
  • Background
  • General Knowledge
  • Scientific Area
  • Skills Development
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Design and manage projects
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Educational Material Types
  • Notes
  • Slide presentations
  • Multimedia
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Communication with Students
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures
Reading Assigment
Tutorial
Project
Written assigments
Exams
Total
Student Assessment
Student Assessment methods
  • Written Exam with Short Answer Questions (Formative, Summative)
  • Written Assignment (Summative)
  • Oral Exams (Formative, Summative)
  • Performance / Staging (Summative)
  • Written Exam with Problem Solving (Summative)
  • Report (Summative)
Bibliography
Course Bibliography (Eudoxus)
1. Edward Y. Chang, Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception, Springer, 2011. 2. M. S. Lew, Principles of Visual Information Retrieval, Springer, 2001. 3. Διαφάνειες και υλικό σε ηλεκτρονική μορφή 4. E-books στα Αγγλικά
Additional bibliography for study
1. A.Tefas, N.Nikolaidis and I.Pitas, "Image Watermarking:Techniques and Applications" in The Essential Guide to Image Processing, 2009. 2. N. V. Boulgouris, Konstantinos N. Plataniotis,Evangelia Micheli-Tzanakou, "Biometrics: Theory, Methods, and Applications", 2009, Wiley-IEEE Press.
Last Update
03-03-2016