SGN-5016 Multimedia Signal Processing, 4 cr
|Lecture times and places||Target group recommended to|
Final examination, exercises and assignment.
Reviewing problems related to human information processing system and their relation to multimedia signal processing. Introducing selected signal processing methods for multimedia information extraction and handling.
|Content||Core content||Complementary knowledge||Specialist knowledge|
|1.||Human perceptual input-output system and its properties, multimodal integration. Theories of higher-level human cognitive processing. Selected pattern processing methods based on compression techniques. Multimedia database retrieval. Media interfaces, visual and acoustical input. MPEG-7 standard. Multimedia content security and watermarking methods.||Human sensory system and brain operation||Cognitive science|
|2.||Image processing methods for multimedia processing||Image processing methods||Advanced image processing|
|3.||Histogram and eigenfaces for multimedia database retrieval||Image compression||Signal and video compression|
|4.||MPEG-7 standard||Advanced signal, video and audio processing||Markup languages, XML|
|5.||Selected problems in multimedia information handling||Advanced signal processing||Cryptography|
Course is graded on the basis of answers to exam questions. Very good grade is obtained when exam questions are correctly answered and exercises are done. Course acceptance threshold is half of the maximum exam points. Volunteer and personal bonus work is prized with increasing the exam result by one grade if the threshold is passed.
Numerical evaluation scale (1-5) will be used on the course
|Type||Name||Author||ISBN||URL||Edition, availability, ...||Examination material||Language|
|Lecture slides||"Multimedia Signal Processing"||Irek Defée||English|
|SGN-1107 Introductory Signal Processing||Obligatory|
|SGN-1200 Signaalinkäsittelyn menetelmät||Obligatory|
|SGN-1250 Signaalinkäsittelyn sovellukset||Recommended|
|Description||Methods of instruction||Implementation|
|Implementation 1|| Lectures
Contact teaching: 0 %
Distance learning: 0 %
Self-directed learning: 0 %