Multimedia Technology

Course title

7M970000

Course content

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.

Purpose of class

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.

Goals and objectives

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.

Language

English

Class schedule

	Class schedule	HW assignments (Including preparation and review of the class.)	Amount of Time Required
1．	Lecture: Introduction to Digital Image Processing & Computer Vision	Study concept of multimedia, digital image processing and computer vision.	190minutes
2．	Student Discussion: - Filter in spatial domain - Pixel connectivity and Morphological image processing	Student discuss in groups and assign tasks to each other for preparing presentation (for next week) regarding these two topics.	190minutes
3．	Students present their works in: - Filter in spatial domain - Pixel connectivity and Morphological image processing	Study topic via reading a number of articles. Student can discuss with lecturer	190minutes
4．	Student Discussion: - Edge detection - Filter in frequency domain	Student discuss in groups and assign tasks to each other for preparing presentation (for next week) regarding these two topics.	190minutes
5．	Students present their works in: - Edge detection - Filter in frequency domain	Study topic via reading a number of articles. Student can discuss with lecturer	190minutes
6．	Lecture: Feature Detection	Study concept of Feature Detection and numerous applications (e.g., panorama, view synthesis, etc.)	190minutes
7．	Students present their works in: - Image alignment & stitching - Histogram processing	Student discuss in groups and assign tasks to each other for preparing presentation (for next week) regarding these two topics: - Image alignment & stitching - Histogram processing	190minutes
8．	Student Discussion: - Image classification - Semantic segmentation	Student discuss in groups and assign tasks to each other for preparing presentation (for next week) regarding these two topics.	190minutes
9．	Students present their works in: - Image classification - Semantic segmentation	Study topic via reading a number of articles. Student can discuss with lecturer	190minutes
10．	Lecture: Photometry & color processing	Study basic concept of photometry, reflectance models, Lambertian and non-Lambertian models, basic of color and color processing	190minutes
11．	Students present their works in: - Shape from shading - Image portrait relighting	Student discuss in groups and assign tasks to each other for preparing presentation (for next week) regarding these two topics: - Shape from shading - Image portrait relighting	190minutes
12．	Students discussion: - Light field imaging - Volumetric Video	Student discuss in groups and assign tasks to each other for preparing presentation (for next week) regarding these two topics.	190minutes
13．	Students present their works in: - Light field imaging - Volumetric Video	Study topic via reading a number of articles. Student can discuss with lecturer	190minutes
14．	Student Final Presentation	Each student prepare a presentation which summarize what they have learnt from class	190minutes
Total.	-	-	2660minutes

Relationship between 'Goals and Objectives' and 'Course Outcomes'

	Presentation	Discussion	Total.
1.	15%	15%	30%
2.	15%	15%	30%
3.	20%	20%	40%
Total.	50%	50%	-

Evaluation method and criteria

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.

Feedback on exams, assignments, etc.

ways of feedback	specific contents about "Other"
The Others	Feedback on exams, assignments can be don either in class or via scomb, email.

Textbooks and reference materials

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

Prerequisites

- Introduction to multimedia technology
- Fundamental knowledge in probability & statistics, information theory, linear algebra.

Office hours and How to contact professors for questions

In Wednesday's mornings or Friday's afternoons. Making an appointment via email is highly recommended.
Contact email: tanpx [at] shibaura-it.ac.jp

Regionally-oriented

Non-regionally-oriented course

Development of social and professional independence

Course that cultivates an ability for utilizing knowledge

Active-learning course

Most classes are interactive

Course by professor with work experience

Work experience	Work experience and relevance to the course content if applicable
N/A	N/A

Education related SDGs:the Sustainable Development Goals

Last modified : Sat Sep 09 07:24:31 JST 2023