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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.

MI-VMM.16 Retrieval from Multimedia Extent of teaching: 2P+1C
Instructor: 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, modalities, and the quality of retrieval.
3. Text-based and bag-of-words models.
4. Similarity search model - models and queries.
5. Similarity search model - popular similarity functions.
6. Image features - MPEG-7 descriptors.
7. Local image features.
8. Video retrieval techniques.
9. Feature extraction from audio, music and melody.
10. Retrieval of 2D shapes and 3D models.
11. Principles of metric indexing.
12. Metric access methods.
13. Unified model of retrieval in (non)metric spaces.

Seminar syllabus:
1. Introduction and selection of project topics.
2. Consultations on project assignments, late selection of project topics.
3. Consultations on projects.
4. Projects checkpoint.
5. Consultations on projects.
6. Presentations of projects.
7. Reserve.

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 nahrazen ekvivalentním NI-VMM // Informace o předmětu a výukové materiály naleznete na https://moodle-vyuka.cvut.cz/course/view.php?id=2249.
Tento předmět obsahově navazuje na bakalářský předmět

The course is also part of the following Study plans:
Study Plan Study Branch/Specialization Role Recommended semester
MI-NPVS.2016 Design and Programming of Embedded Systems V 1
MI-WSI-WI.2016 Web and Software Engineering PZ 1
MI-ZI.2016 Knowledge Engineering PO 1
MI-SP-SP.2016 System Programming V 1
MI-SP-TI.2016 System Programming V 1
MI-WSI-ISM.2016 Web and Software Engineering V 1
MI-PSS.2016 Computer Systems and Networks V 1
MI-WSI-SI.2016 Web and Software Engineering V 1
MI-PB.2016 Computer Security V 1
MI-SPOL.2016 Unspecified Branch/Specialisation of Study VO 1


Page updated 29. 3. 2024, semester: L/2021-2, Z,L/2023-4, Z/2021-2, Z/2020-1, Z/2019-20, L/2020-1, Z,L/2022-3, L/2019-20, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška