理工学部Faculty of Science and Engineering
COT100XE（計算基盤 / Computing technologies 100）Introduction to Multimedia Information ProcessingIntroduction to Multimedia Information Processing
周 金佳Jinjia ZHOU
授業コードなどClass code etc
| 学部・研究科Faculty/Graduate school | 理工学部Faculty of Science and Engineering |
| 添付ファイル名Attached documents | |
| 年度Year | 2021 |
| 授業コードClass code | H9702 |
| 旧授業コードPrevious Class code | |
| 旧科目名Previous Class title | |
| 開講時期Term | 春学期授業/Spring |
| 曜日・時限Day/Period | 火5/Tue.5 |
| 科目種別Class Type | |
| キャンパスCampus | 小金井 |
| 教室名称Classroom name | |
| 配当年次Grade | |
| 単位数Credit(s) | |
| 備考（履修条件等）Notes | |
| 他学部公開科目Open Program | |
| 他学部公開（履修条件等）Open Program (Notes) | |
| グローバル・オープン科目Global Open Program | ○ |
| 成績優秀者の他学部科目履修制度対象Interdepartmental class taking system for Academic Achievers | |
| 成績優秀者の他学部科目履修（履修条件等）Interdepartmental class taking system for Academic Achievers (Notes) | |
| 実務経験のある教員による授業科目Class taught by instructors with practical experience | |
| SDGsCPSDGs CP | |
| アーバンデザインCPUrban Design CP | |
| ダイバーシティCPDiversity CP | |
| 未来教室CPLearning for the Future CP | |
| カーボンニュートラルCPCarbon Neutral CP | |
| 千代田コンソ単位互換提供（他大学向け）Chiyoda Campus Consortium | |
| カテゴリー＜理工学部＞Category |
応用情報工学科 学科専門科目 |
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Outline (in English)
Recently, multimedia information (video, image, audio, etc.) covers from everyone’s experiences to everything happening in the world. This course will introduce the basic principles and tools used to process digital images, videos and audios, and how to apply them in solving practical problems.
授業で使用する言語Default language used in class
英語 / English
授業の概要と目的（何を学ぶか）Outline and objectives
Recently, multimedia information (video, image, audio, etc.) covers from everyone’s experiences to everything happening in the world. This course will introduce the basic principles and tools used to process digital images, videos and audios, and how to apply them in solving practical problems.
到達目標Goal
The students will get to understand the key concepts and techniques in multimedia information processing. As a result, they will acquire background knowledge necessary to undertake advanced courses on image processing, video processing, wireless communication and information security, etc.
この授業を履修することで学部等のディプロマポリシーに示されたどの能力を習得することができるか（該当授業科目と学位授与方針に明示された学習成果との関連）Which item of the diploma policy will be obtained by taking this class?
ディプロマポリシーのうち、「DP1」と「DP2」と「DP4」に関連
授業で使用する言語Default language used in class
英語 / English
授業の進め方と方法Method(s)（学期の途中で変更になる場合には、別途提示します。 /If the Method(s) is changed, we will announce the details of any changes. ）
Most homework assignments will on open problems without standard answers. The students will be encouraged not only to learn the knowledge but also to think about how it can be used.
The learning support system will be used to submit reports and get feedback from the lecturer.
Classes could be online. Changes in the lecture plan due to this shift will be announced on the learning support system.
アクティブラーニング（グループディスカッション、ディベート等）の実施Active learning in class (Group discussion, Debate.etc.)
あり / Yes
フィールドワーク（学外での実習等）の実施Fieldwork in class
なし / No
授業計画Schedule
※各回の授業形態は予定です。教員の指示に従ってください。
1：Introduction
Background of multimedia information processing. Introduction to the lecturer. Course overview.
2：Multimedia and human sense
What is multimedia? The relation between information and human sense.
3：Media communication history
History of text/figure, image, audio, and video.
4：Visual reality
Introduction to visual reality
5：Multimedia interaction
Human computer interaction (HCI). Multimedia HCI
6：Information
Information and information theory.
7：Probability theory review
A quick review of the probability theory useful to this course.
8：Entropy
How information is quantified. What entropy is and why it is useful.
9：Source coding
Source coding basics. Codes and trees.
10：Source coding schemes
Fano code. Huffman code.
11：Transform
What is frequency domain? How transform works and why it is useful.
12：Image and video processing
Basic technologies in image and video processing
13：Audio, speech and music processing
Basic technologies in audio, speech and music processing.
14：Deep learning
Deep learning technologies for image processing
授業時間外の学習（準備学習・復習・宿題等）Work to be done outside of class (preparation, etc.)
[Preparatory study and review time for this class are 4 hours each.] Homework assignments will be given.
テキスト（教科書）Textbooks
Handouts and prints will be distributed.
参考書References
An introduction to information theory: symbol, signals and noise, John R. Pierce
Elements of information theory, 2nd edition, Thomas M. Cover and Joy A.
Digital Image Processing, Rafeal C.Gonzalez, Richard E.Woods, Pearson Education/PHI.
Digital Video Processing, A. Murat Tekalp, Prentice Hall.
成績評価の方法と基準Grading criteria
Homework 50% + Final Report 50%
学生の意見等からの気づきChanges following student comments
None in particular.
その他の重要事項Others
If the class is offered online, the learning support system will provide information about the change in the online lesson method, lesson plan, and grade evaluation method each time. Please regularly check to see if the instructor has contacted you through the learning support system.