This course is a continuation of "introduction to multimedia technology". As multimedia technologies increasingly plays a
crucial role in many aspects of computer science and engineering fields, it is necessary to briefly understand it via its
wide range of applications. For that reason, this course provides insight into the applications of multimedia technologies
in data presentation, communications and networking.
Apart from several fundamental lectures, a numerous up-to-date research papers will be provided to students for interactive
discussions. By doing that way, this class aims to provide the students advanced and practical knowledge on the applications
of multimedia technologies in various topics ranging from data compression to multimedia communication techniques.
- The students can capture the current topics, existing problems and solutions in data representation.
- The students capture the current topics, existing problems and solutions in data compression.
- The students capture the current topics, existing problems and solutions in multimedia communications and networking.
| Class schedule | HW assignments (Including preparation and review of the class.) | Amount of Time Required | |
|---|---|---|---|
| 1． | Fundamentals of multimedia technologies | Study concept of multimedia, basics of graphics, image formation, color spaces, etc) | 190minutes |
| 2． | Fundamentals of multimedia technologies | Study concept of multimedia, basics of graphics, image formation, color spaces, etc) | 190minutes |
| 3． | Multimedia processing: a review | Study transformation and filtering in spatial and frequency domain, image reconstruction, image compression, image segmentation, etc.) | 190minutes |
| 4． | Multimedia processing: a review (continue...) | Study transformation and filtering in spatial and frequency domain, image reconstruction, image compression, image segmentation, etc.) | 190minutes |
| 5． | Immersive Imaging and its applications | Study omnidirectional imaging (360 video), light field imaging, VR/AR applications | 190minutes |
| 6． | Multimedia Quality of Experience | Study definition and characteristics of Quality of Experience in Multimedia Applications. | 190minutes |
| 7． | Presentation and discussion upon papers related to lecture (1,2), (3,4), (5,6). | Read carefully the paper and make presentation |
190minutes |
| 8． | Presentation and discussion upon papers related to lecture (1,2), (3,4), (5,6). (continue...) | Read carefully the paper and make presentation |
190minutes |
| 9． | Deep learning in multimedia processing | Study basic concept of machine learning, simple machine learning model, convolutional neural networks architecture | 190minutes |
| 10． | Deep learning in multimedia processing (continue...) | Study basic concept of machine learning, simple machine learning model, convolutional neural networks architecture | 190minutes |
| 11． | Presentation and discussion upon papers related to lecture (5,6), (9,10). | Read carefully the paper and make presentation |
190minutes |
| 12． | Presentation and discussion upon papers related to lecture (5,6), (9,10). | Read carefully the paper and make presentation |
190minutes |
| 13． | Final presentation | Each student prepare a presentation which summarize what they have learnt from class | 190minutes |
| 14． | Final presentation | Each student prepare a presentation which summarize what they have learnt from class | 190minutes |
| Total. | - | - | 2660minutes |
| Presentation | Discussion | Total. | |
|---|---|---|---|
| 1. | 15% | 15% | 30% |
| 2. | 15% | 15% | 30% |
| 3. | 20% | 20% | 40% |
| Total. | 50% | 50% | - |
Presentation and communicative ability (50%) and discussion skill (50%) are the criteria of the grade. More than 60% of the
total score is needed for getting the course credit.
<Note>
Students are marked absent from the class if they are late regardless of the delay time.
If students are absent from more than one third of the total number of classes, the credit of this course cannot be given to them.
Even though students are absent from the class whatever the reason, e.g. sickness, delay of public transportation systems, forgetting to bring the student ID card, it is counted as absence.
<Note>
Students are marked absent from the class if they are late regardless of the delay time.
If students are absent from more than one third of the total number of classes, the credit of this course cannot be given to them.
Even though students are absent from the class whatever the reason, e.g. sickness, delay of public transportation systems, forgetting to bring the student ID card, it is counted as absence.
Ze-Nian Li, Mark S. Drew, Jiangchuan Liu. "Fundamentals of Multimedia" second edition 2014
Rafael C. Gonzalez, Richard E. Woods, "Digtial Image Processing" fourth edition 2018
Rafael C. Gonzalez, Richard E. Woods, "Digtial Image Processing" fourth edition 2018
- Introduction to multimedia technology
- Fundamental knowledge in probability & statistics, information theory, linear algebra.
- Fundamental knowledge in probability & statistics, information theory, linear algebra.
- In Wednesday's mornings or Friday's afternoons. Making an appointment via email is highly recommended.
Contact email: tanpx [at] shibaura-it.ac.jp
- Course that cultivates an ability for utilizing knowledge
| Work experience | Work experience and relevance to the course content if applicable |
|---|---|
| N/A | N/A |
Last modified : Thu Sep 23 04:04:57 JST 2021