Multimedia signals in communication networks
Study programs
Teaching information
Teaching form
Lecture, Seminar, Numerical exercises, Laboratory exercise, Project work, Studio, Internship, Excursion, Specialistic practiceStudy method
AttendanceLanguage
slovenský, anglickýHours per week (full-time)
2,0,0,1,1,0,0,0,0Hours per semester (part-time)
LS 26,13,13Teachers
prof. Ing. Jozef Juhár, PhD. Ing. Ján Staš, PhD. Ing. Iveta Gladišová, CSc.
Schedule
Learning outcomes
By completing the course, the student will understand the basics of multimedia signal processing in communication networks; will gain the knowledge about the basic principles and methods of multimedia signal processing, which will lead to a reduction in redundancy and entropy (compression) of the source data; acquire knowledge in the field of signal digitization, time-frequency analysis, transformation, filtering, and signal pre-processing and post-processing; understand the basic principles and methods used in the digital processing and compression of text, still images, speech, audio, and video signals and their application in internationally recognized standards; and knowledge about basic techniques in the field of multimedia content protection.
Course outline
1. Continuous signals 2. Basic terms and definitions of multimedia signals 3. Modality-specific parameters and features, multimedia quality assessment 4. General compression model 5. Predictive coding 6. Transform coding 7. Sub-band coding 8. Lossless compression 9. Multimedia content analysis 10. Methods and standards for still image compression (JPEG, JPEG 2000, GIF, PNG, WebP) 11. Methods and standards for speech and audio signal compression (MPEG audio, Dolby AC-3, Sony ATRAC, FLAC, Ogg Vorbis, Windows Media Audio) 12. Methods and standards for video signal compression (MPEG video, H.261 and H.263 standards, MPEG-4 AVC / H.264, WebM) 13. Multimedia content protection (cryptography, steganography, digital watermarking)
Completion conditions
Assessment and completion of the course: Credit test and examination Continuous assessment: Student passes the continuous assessment and receives credits when he or she meets the requirement to obtain at least 21% out of 40%. Credit test Final assessment: Student passes the final assessment and passes the examination when he or she meets the requirement to obtain at least 31% out of 60%. Examination Overall assessment: Overall assessment is the sum of the assessments obtained by students in the assessment period. The overall result is determined in accordance with the internal regulations of the Technical University in Košice. (Study Regulations, the internal regulation principles of doctoral studies)
Recommended literature
[1] Levický, D. a Bugár, G. (2012) Multimédiá a ochrana ich obsahu. Elfa, Košice [2] Rozinaj, G. a kol. (2014) Multimédiá. Nakladateľstvo CVUT, Praha [3] Coelho, R. F. (2017) Signals and images: Advances and results in speech, estimation, compression, recognition, filtering, and processing. CRC Press [4] Ohm, J.R. (2015) Multimedia signal coding and transmission. Springer-Verlag Berlin Heidelberg [5] Juhár, J. a kol. (2011) Rečové technológie v telekomunikačných a informačných systémoch. EQUILIBRIA, Košice [6] Mihalík, J., Zavacký, J. (2011) Diskrétne spracovanie signálov. FEI TU Košice
Notes
To successfully complete the course, it is necessary to obtain credit and successfully pass the exam. This includes the student's participation in educational activities of direct teaching, lectures, and exercises, as well as independent study and independent creative activity of the student in processing the semester assignment/assignments, project on a specified topic, to a specified extent, in a specified design of a total of 180 hours intensity of the student's work per semester.
Grade distribution
Total graded students: 550