Textbook and References
(1) Mark S. Nixon and Alberto S. Aguado, Feature Extraction and Image Processing, 3rd Edition , Academic Press， 2012
(2)Eidenberger H., Fundamental Media Understanding , atpress， 2011
(3)Michael S. Lew, Principles of Visual Information Retrieval, 1st Edition , Springer， 2001
(4)C. D. Manning, P. Raghavan, and H. Schütze, Introduction to Information Retrieval , Cambridge University Press， 2008
Course Details
This is an introductory course to the fundamentals of multimedia retrieval. It emphasizes general principles of visual feature extraction, multimedia database and indexing technology. We expect to cover topics such as basic image processing operations, low-level feature extraction, object description and locality sensitive hashing. Students would have basic understanding of multimedia retrieval, image processing and indexing technology, and be required to successfully complete several computer projects that are designed to substantially enhance their practical experience.
Syllabus
| Weeks | Month/Day | Contents | Slides |
| 八 | 10/30 | Introduction to Multimedia | Lecture01 |
| 九 | 11/06 | Digital Image Fundamentals | Lecture02 |
| 十 | 11/13 | Basic Image Processing | Lecture03 |
| 十一 | 11/20 | Low Level Image Features - 1 | Lecture04 |
| 十二 | 11/27 | Low Level Image Features - 2 | Lecture05 |
| 十三 | 12/04 | Representation and Descriptor | Lecture06 |
| 十四 | 12/11 | Multimedia Indexing Algorithm | Lecture07 |
| 十五 | 12/18 | Pattern Recognition | Lecture08 |
Optional Projects
(1) Image Feature Extraction
(2) Histogram of Oriented Gradient
(3) Scale-invariant feature transform (SIFT)
Copyright: Institute of Media,Information, and Network, 2021
Tel: 021-34205953
Email: xionghongkai@gmail.com
Address: SEIEE Building 1-304&309, Dept.of Electronic Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China
