EN CH

Multimedia Retrieval

 

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
10/30 Introduction to Multimedia Lecture01
11/06 Digital Image Fundamentals Lecture02
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)

沪交ICP备20160059

Institute of Media, Information, and Network (MIN Lab)