Department of Computer Science
Div. of Web Science and Technology
Korea Advanced Institute of Science and Technology (KAIST)

CS688/WST665: Web-Scale Image Retrieval (Fall 2014)

Instructor: Sung-eui Yoon

When and where: 4:00-5:15pm on Tue. and Thur. at Room 3445 in the CS building

First class: Sep-2 (Important announce for the first class)

Textbook: In-class handouts and ongoing draft on image search

Board: Noah board

Previous Board(Fall 2012): Noah board(2012)

Question Page: Question Submission

Paper Submission Page: Paper Summary Submission

Outline

Course overview

We extract feature points between two similar images and match them, followed by overlaying them together based on the matched points in the bottom row.

Thanks to rapid advances of digital camera and various image processing tools, we can easily create new pictures, images, and videos for various purposes. This in turn results in a huge amount of images in the internet and even in personal computers. For example, flickr, an image hosting website, contains more than five billion images and flickr members update more than three thousands image every minute.

These huge image databases pose numerous technical challenges in terms of image processing, searching, storing, etc. In this class we will discuss various scalable techniques for web-scale image/video databases and novel applications that can utilize such data.

In summary, what you will get at the end of the course:

What you will do:

Lecture schedule (subject to change)

# of lecture, date	Topics and slides	Related material(s)
Sep-2 (T)	Overview on the course and course policy	Important announcement on the first class
Sep-4 (Th) Sep-11 (Th)	Keypoint localization Scale Invariant Region Selection	Code of Harris detector Code of Blob Laplacian
Sep-16 (T) Sep-18 (Th)	Descriptor Intro to Object Recognition	Programming Assignment1
Sep-23 (T) Sep-25 (Th)	Bag-of-Words(BoW) Models	Programming Assignment2 PA2 dataset Student Presentation Guidance
Sep-30 (T) Oct-2 (Th)	Recent Image Retrieval Techniques
Oct-7 (T)	Invited Talk on Geometric Computing
Oct-14 (T) Oct-16 (Th)	Hashing Techniques Web-Scale Image Databases and Their Applications	Project Guidelines
Oct-21 (T) Oct-23 (Th)
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Student presentations and reports

For your presentations, please use the this powerpoint template; paper presentation guideline is available.

For your final report, please use the this latex template

Additional reference materials and links

Computer vision resources (papers, code, datasets, etc.):

Paper search:

Acknowledgements: The course materials are based on those of Prof. Fei-Fei Li, Stanford. Thank you so much!

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