Course title
330257002
Media Processing 1

 TAKAHASHI Masanobu
Middle-level Diploma Policy (mDP)
Program / Major mDP Goals
IoT Course DP-4a・3 専門分野と他分野を関連付ける素養
主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Software Course DP-4b・3 専門分野と他分野を関連付ける素養
主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Media Course DP-4c・2 キャリアを見据えた高度な専門知識
画像や音響、サイバースペース等のメディア処理・デザイン技術を駆使し、社会的ニーズに適切に対応したシステムを開発できる。
Data Science Course DP-4d・3 専門分野と他分野を関連付ける素養
主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Mechatronics Course DP-4・3 専門分野と他分野を関連付ける素養
主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Architecture and Architectural Engineering Course DP-4a・3 専門分野と他分野を関連付ける素養
主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Environmental Systems and Urban Planning Course DP-4b・3 専門分野と他分野を関連付ける素養
主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Bioscience Course DP-4a・3 専門分野と他分野を関連付ける素養
主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Biomedical Engineering Course DP-4b・3 専門分野と他分野を関連付ける素養
主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Sports Engineering Course DP-4c・3 専門分野と他分野を関連付ける素養
主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Mathematical Sciences Course DP-4・3 専門分野と他分野を関連付ける素養
主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Purpose of class
The objective of this course is to study advanced processing methods for images and speech/acoustics, and to acquire practical knowledge and programming skills through hands-on exercises utilizing these techniques.
Course description
Building upon foundational knowledge and basic processing techniques for media such as images and speech/audio/acoustics, this course covers more advanced methodologies. Students will acquire practical knowledge and programming skills through hands-on exercises. Specifically, the curriculum covers image recognition, transformation, and measurement, as well as speech recognition/synthesis, speaker recognition, encoding, and audio/acoustic processing. Furthermore, students are expected to gain insights into system design tailored to specific requirements.
Goals and objectives
  1. Students will be able to understand, implement, and evaluate methods for solving image-related problems.
  2. Students will be able to design, implement, and evaluate systems for core speech/audio/acoustic technologies based on specific requirements, and present their findings.
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Report Presentation Total.
1. 50% 50%
2. 40% 10% 50%
Total. 90% 10% -
Evaluation method and criteria
Grading is based on assignments (90%) and a final presentation (10%). A total score of 60% or higher is required to pass.
Language
Japanese
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Guidance, Image processing/transformation (1) : Methods Read the syllabus to understand the overall course content. Prepare for and review all material covered in class. 180minutes
2. Image processing/transformation (2): Implementation and evaluation Writing exercise reports. 190minutes
3. Applied image measurements(1): Basics of cameras Prepare for and review all material covered in the class. 190minutes
4. Applied image measurements(2): Methods Prepare for and review all material covered in the class. 190minutes
5. Applied image measurements(3): Methods Writing exercise reports. 190minutes
6. Image recognition(1): Methods Prepare for and review all material covered in the class. 190minutes
7. Image recognition(2): Implementation and evaluation Writing exercise reports. 190minutes
8. Speech recognition technology(1): Requirements and systems design Prepare for and review all material covered in the class. 190minutes
9. Speech recognition technology(2): System implementation and evaluation Writing exercise reports. 190minutes
10. Speech synthesis/coding technology(1): Requirements and systems design Prepare for and review all material covered in the class. 190minutes
11. Speech synthesis/coding technology(2): System implementation and evaluation Writing exercise reports. 190minutes
12. Audio/acoustics technology(1): Requirements and systems design Prepare for and review all material covered in the class. 190minutes
13. Audio/acoustics technology(2): System implementation and evaluation Writing exercise reports.
14. Presentation Prepare for the presentation.
Total. - - 2270minutes
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in the class
Textbooks and reference materials
Course materials will primarily be distributed as handouts. For certain sections on image processing, the textbook ’デジタル画像処理(改訂第ニ版)’ published by the CG-ARTS Society will be used.
Prerequisites
None, but please study basic introduction to programming languages (C or Python).
Office hours and How to contact professors for questions
  • Basically Friday lunch break. Other requests welcome, time permitting.
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic problem-solving skills
Active-learning course
More than one class is interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
Applicable Leveraging Professors' experiences in the research and development of image and speech processing and recognition systems in companies, they will teach methodologies and terminology by linking them to systems and techniques currently used in industry.
Education related SDGs:the Sustainable Development Goals
  • 4.QUALITY EDUCATION
  • 8.DECENT WORK AND ECONOMIC GROWTH
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
  • 12.RESPONSIBLE CONSUMPTION & PRODUCTION
Last modified : Mon Mar 16 04:02:49 JST 2026