Syllabus data
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Teacher name ： CHEN Qiu
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Academic year
2025Year
Term
First Semester
Course title
Image Media Recognition
Class type
Lecture
Course title (ENG)
Image Media Recognition
Class code・Class name・Teaching forms
Z0700001 Image Media Recognition
Instructor
CHEN Qiu
Credits
2.0Credits
Day and Time
Fri.2Period
Campus
Shinjuku Remote
Location
Relationship between diploma policies and this course
A) A high degree of specialized expertise 100%
B) The skills to use science and technology 0% C) The ability to conduct research independently, knowledge pertaining to society and occupations, and sense of ethics required of engineers and researchers 0% D) Creative skills in specific areas of specialization 0% Goals and objectives
The aim of this course is to study image media understanding and recognition, from the fundamentals of image processing and recognition to convolutional neural networks (CNN). The course covers topics such as local feature extraction, statistical feature extraction, image classification, object detection, instance recognition, and search, and so on. Furthermore, by providing numerous examples of image recognition applications, students are expected to deepen their understanding of this research area.
Prerequisites
Basic knowledge of image processing is required.
Method Using AL・ICT
Project Based Learning／Flip Teaching／Discussion Debate／Presentation／Support for self-learning using ICT
Class schedule
(1) Fundamentals of image processing / recognition
(2) Overview of image recognition (3) Local features (1) (4) Local features (2) (5) Statistical feature extraction (6) Coding and pooling (7) Image classification (1) (8) Image classification (2) (9) Convolutional neural network (1) (10) Convolutional neural network (2) (11) Object detection (12) Instance recognition and search (13) Application example of image recognition (1) (14) Application example of image recognition (2) (15) Reviewing of the course Evaluation
Comprehensive evaluation based on presentation, reports, and attendance.
Feedback for students
Submitted reports will be appropriately explained in class as needed.
Textbooks
原田達也 著、「画像認識」、講談社、2017
Reference materials
1. 石井 健一郎 他著，「わかりやすい パターン認識」，オーム社
2. 鳥脇 純一郎 著，「認識工学 パターン認識とその応用」，コロナ社 3. Ian Goodfellow 他著、「深層学習」、KADOKAWA社、2018 Office hours and How to contact teachers for questions
15:35-17:20, every Thursday, at Shinjuku Campus A-2275 (Image Science and Technology Laboratory)
For questions by e-mail, please contact chen_at_cc.kogakuin.ac.jp (replace _at_ with @) Message for students
Course by professor with work experience
Not applicable
Work experience and relevance to the course content if applicable
Teaching profession course
Electrical Engineering and Electronics Program
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