SubjectsSubjects(version: 945)
Course, academic year 2023/2024
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Multimedia Retrieval - NDBI034
Title: Vyhledávání multimediálního obsahu na webu
Guaranteed by: Department of Software Engineering (32-KSI)
Faculty: Faculty of Mathematics and Physics
Actual: from 2021
Semester: winter
E-Credits: 4
Hours per week, examination: winter s.:2/1, C+Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech, English
Teaching methods: full-time
Teaching methods: full-time
Additional information:
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: prof. RNDr. Tomáš Skopal, Ph.D.
Class: Informatika Mgr. - Softwarové systémy
Classification: Informatics > Informatics, Software Applications, Computer Graphics and Geometry, Database Systems, Didactics of Informatics, Discrete Mathematics, External Subjects, General Subjects, Computer and Formal Linguistics, Optimalization, Programming, Software Engineering, Theoretical Computer Science
Annotation -
Last update: T_KSI (27.04.2016)
The introduction to technologies of retrieval of multimedia content on the web. Since multimedia applications and databases acquire even larger space on the web, the module offers a perspective to the future developers of multimedia applications and databases. 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. The knowledge of databases in extent of the course NDBI025 is supposed.
Course completion requirements -
Last update: prof. RNDr. Tomáš Skopal, Ph.D. (06.10.2017)

For the course a SW project must be successfully completed.

Literature -
Last update: T_KSI (23.03.2010)

1. Zezula, P, Amato, G., Dohnal, V., Batko, M. ''Similarity Search: The Metric Space Approach''. Springer, 2005. ISBN 0387291466.

2. Nicolas Hervé, Nozha Boujemaa: ''Image annotation: which approach for realistic databases?'', ACM International Conference on Image and Video Retrieval, 2007.

3. Castelli, V., Bergman, L. D. ''Image Databases: Search and Retrieval of Digital Imagery''. Wiley-Interscience, 2001. ISBN 0471321168.

4. Ritendra Datta, Dhiraj Joshi, Jia Li, James Z. Wang, "Image Retrieval: Ideas, Influences, and Trends of the New Age!, ACM Computing Surveys 40: 1, 2008

5. Berry, M. W., Browne, M. ''Understanding Search Engines: Mathematical Modeling and Text Retrieval (2nd Edition)''. Society for Industrial and Applied Mathematics, 2005. ISBN 0898715814.

Requirements to the exam -
Last update: prof. RNDr. Tomáš Skopal, Ph.D. (06.10.2017)

The exam is accomplished by test (after the SW project is accepted). The grade is the sum of points from the exam test and the SW project.

Syllabus -
Last update: prof. RNDr. Tomáš Skopal, Ph.D. (25.10.2017)

1. Web platforms for retrieval and sharing of multimedia content

2. Web interfaces, modalities and quality of retrieval

3. Text-based and bag-of-words models

4. Similarity search - models and queries

5. Similarity search - popular similarity functions

6. Global image descriptors

7. Local image features

8. Image retrieval using neural networks

9. Feature extraction from video, audio, music and melody

10. Retrieval of 2D and 3D models

11. Principles of multimedia indexing

12. Metric access methods

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