Video processing techniques
Field of study: Computer Science
Programme code: 08-S2INIA15.2019

Module name: | Video processing techniques |
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Module code: | 08-IN-GWK-S2-TPV |
Programme code: | 08-S2INIA15.2019 |
Semester: | winter semester 2020/2021 |
Language of instruction: | English |
Form of verification: | exam |
ECTS credits: | 3 |
Description: | Module allows the student to acquire skill of programming basic video processing algorithms. |
Prerequisites: | (no information given) |
Key reading: | (no information given) |
Learning outcome of the module | Codes of the learning outcomes of the programme to which the learning outcome of the module is related [level of competence: scale 1-5] |
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Can work in team of two and properly divides work. [TPV -K_8] |
K_U02 [1/5] |
Can implement basic video processing algorithms. [TPV -U_5] |
K_U01 [1/5] |
Can implement basic algorithms of video processing from infrared cameras. [TPV -U_6] |
K_U01 [1/5] |
Can give a presentation of the executed project. [TPV -U_7] |
K_U04 [1/5] |
Has basic knowledge about OpenCV library use. [TPV -W_1] |
K_W03 [1/5] |
Has basic knowledge about video encoding standards. [TPV -W_2] |
K_W15 [1/5] |
Has basic knowledge about lossy and losless compression. [TPV -W_3] |
K_W15 [1/5] |
Has basic knowledge in the field of video processing, such as filtration, movement detection, object detection. [TPV -W_4] |
K_W15 [1/5] |
Type | Description | Codes of the learning outcomes of the module to which assessment is related |
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Exam [TPV _w_1] | Checking theoretical knowledge of the module. Final grade is constituted by arithmetic average of grades from tests and laboratory class. Both grades must be positive. |
TPV -W_1 |
Tests [TPV _w_2] | Periodical checking of theoretical knowledge during laboratory classes. |
TPV -U_5 |
Project [TPV _w_3] | Preparing a project for the given topic connected with video processing. |
TPV -K_8 |
Presentation [TPV _w_4] | Presenting the project. |
TPV -K_8 |
Form of teaching | Student's own work | Assessment of the learning outcomes | |||
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Type | Description (including teaching methods) | Number of hours | Description | Number of hours | |
lecture [TPV _fs_1] | Presenting educational content with use of audio-visual aids. |
15 | Individual studying of lectures subject matter and advised literature. |
5 |
Exam [TPV _w_1] |
laboratory classes [TPV _fs_2] | Computer classes focusing on video processing algorithms implementation. |
30 | Individual preparation for laboratory classes .
Familiarizing with project subject matter and project execution individually or in teams of two.
Preparing description presenting project subject matter.
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25 |
Tests [TPV _w_2] |
Attachments |
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Module description (PDF) |
Syllabuses (USOSweb) | ||
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Semester | Module | Language of instruction |
(no information given) |