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A course is the basic teaching unit, it's design as a medium for a student to acquire comprehensive knowledge and skills indispensable in the given field. A course guarantor is responsible for the factual content of the course.
For each course, there is a department responsible for the course organisation. A person responsible for timetabling for a given department sets a time schedule of teaching and for each class, s/he assigns an instructor and/or an examiner.
Expected time consumption of the course is expressed by a course attribute extent of teaching. For example, extent = 2 +2 indicates two teaching hours of lectures and two teaching hours of seminar (lab) per week.
At the end of each semester, the course instructor has to evaluate the extent to which a student has acquired the expected knowledge and skills. The type of this evaluation is indicated by the attribute completion. So, a course can be completed by just an assessment ('pouze zápočet'), by a graded assessment ('klasifikovaný zápočet'), or by just an examination ('pouze zkouška') or by an assessment and examination ('zápočet a zkouška') .
The difficulty of a given course is evaluated by the amount of ECTS credits.
The course is in session (cf. teaching is going on) during a semester. Each course is offered either in the winter ('zimní') or summer ('letní') semester of an academic year. Exceptionally, a course might be offered in both semesters.
The subject matter of a course is described in various texts.

NI-VMM Retrieval from Multimedia Extent of teaching: 2P+1C
Instructor: Skopal T. Completion: Z,ZK
Department: 18102 Credits: 5 Semester: Z

Annotation:
The student obtains general knowledge regarding interfaces of portals providing multimedia content, the principles of similarity search, the methods of feature extraction from multimedia objects, indexing, and structure of distributed search engines.

Lecture syllabus:
1. Web platforms for retrieval and sharing of multimedia content
2. Web interfaces, means and quality of retrieval
3. Text-based and bag-of-features models
4. Similarity search ? models and queries
5. Similarity search ? popular similarity functions
6. Global image descriptors - analytic models
7. Global image descriptors - deep learning
8. Local image features
9. Retrieval of 2D and 3D models
10. Feature extraction from video, audio, music and melody
11. Principles of multimedia indexing
12. Metric access methods
13. Approximate similarity search

Seminar syllabus:
1. Project topic presentation.
2. Group consultations.
3. Group consultations.
4. Individual consultations.
5. Individual consultations.
6. Project presentation.
7. Project presentation.

Literature:
course slides +
1) Ricardo Baeza-Yates, Berthier Ribeiro-Neto. Modern Information Retrieval: The Concepts and Technology behind Search, 2011, Addison-Wesley Professional, ISBN-10: 0321416910
2) Phillipe Salembier, B. S. Manjunath, Philippe Salembier, Thomas Sikora. Introduction to MPEG 7: Multimedia Content Description Language, 2002, Wiley, ISBN-10: 0471486787
3) K. Selçuk Candan, Maria Luisa Sapino. Data Management for Multimedia Retrieval, 2010, Cambridge University Press, ISBN-10: 0521887399
4) Pavel Zezula, Giuseppe Amato, Vlastislav Dohnal, Michal Batko. Similarity Search: The Metric Space Approach, 2005, Springer, ISBN-10: 0387291466

Requirements:
Basic knowledge of database systems, data structures, programming, internet technologies, calculus.

Předmět je ekvivalentní s MI-VMM // Informace o předmětu a výukové materiály naleznete na https://moodle-vyuka.cvut.cz/course/view.php?id=7757.
Tento předmět obsahově navazuje na bakalářský předmět Vyhledávání na webu a v multimediálních databázích.

The course is also part of the following Study plans:
Study Plan Study Branch/Specialization Role Recommended semester
NI-PSS.2020 Computer Systems and Networks V 1
NI-SP.2020 System Programming V 1
NI-SP.2023 System Programming V 1
NI-SPOL.2020 Unspecified Branch/Specialisation of Study VO 1
NI-SPOL.2020 Unspecified Branch/Specialisation of Study V 1
NI-MI.2020 Managerial Informatics V 3
NI-TI.2023 Computer Science V 1
NI-TI.2020 Computer Science V 1
NI-WI.2020 Web Engineering PS 1
NI-NPVS.2020 Design and Programming of Embedded Systems V 3
NIE-DBE.2023 Digital Business Engineering VO 1
NI-PB.2020 Computer Security V 1
NI-SI.2020 Software Engineering (in Czech) V 1
NI-TI.2018 Computer Science V 1,3
NI-ZI.2020 Knowledge Engineering V 1


Page updated 28. 3. 2024, semester: Z/2023-4, L/2019-20, L/2022-3, Z/2019-20, Z/2022-3, L/2020-1, L/2023-4, Z/2020-1, Z,L/2021-2, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška