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 2012)
CS688/WST665: Web-Scale Image Retrieval (Fall 2012)
- When and where: 1:00-2:15pm on Tue. and Thur. at Room 3444
in the CS building
- First class: Sep-4 (please come to first class for more information)
- Please refer to the first lecture slide for other course information
- Textbook:
In-class handouts (no textbooks)
- Board: Noah board
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-4 (Th)
| Overview on the course and course policy |
Q and A for the course (frequently updated) |
Sep-6 (Th)
Sep-11 (T)
| Keypoint localization |
Sep-13 (Th)
| Scale-invariant region detector |
Sep-18 (T)
| Descriptors |
PA1: get to know basic libraries |
Sep-25 (T.)
Sep-27 (Th)
| Intro. to object detection |
Oct-4 (Th)
Oct-9 (T)
| Bag-of-Word approach |
PA2: basic image retrieval, Image database |
Oct-11 (Th)
Oct-16 (T)
Oct-18 (Th)
| Recent image retrieval systems
|
Oct-23 (T)
| Mid-term exam
|
Oct-30 (T)
| Seungwoo, Mingyang
|
Nov-1 (Th)
| Soyoung, Suwon
|
Nov-6 (T)
| Kwangheum, Junghyuk
|
Nov-8 (Th)
| Gayeon, Aurelie
|
Nov-13 (T) | Project feedback
|
Nov-15 (Th) | Project feedback
|
Nov-20 (T)
| Florent, Gangwook
|
Nov-22 (Th)
| Jongwook, Donghyun
|
Nov-27 (T)
| Jongin, Soonmin
|
Nov-29 (Th)
| No class, because of attending a conf. (SIGGRAPH Asia)
|
Dec-4 (T)
| Kyunghyun
|
Dec-6 (Th)
| Changhoon, Sungheon
|
Dec-11 (T)
Dec-13 (Th)
| Final project presentation
|
|
|
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!
Copyright 2012.
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