School of Computing

Korea Advanced Institute of Science and Technology (KAIST)

Your IP is 52.90.211.141

CS688: Large-Scale Image & Video Retrieval (Spring 2020)

Instructor: Sung-eui Yoon

Line

Outline

Line

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:

Line

Lecture schedule (subject to change)

Date Topics and slides Related material(s)
  • Mar. 17 (T)
Overview on the course and course policy
  • Mar. 19 (T)
Classical keypoint localization
  • Mar. 24 (T)
Scale Invariant Region Selection and SIFT
  • Mar. 26 (Th)
Deep Neural Nets and Features
  • Mar. 31 (T)
Convolutional Neural Networks
  • Apr. 2 (Th)
Bag-of-Words (BoW) Models for Local Descriptors
  • Apr. 7 (T)
Inverted Index
  • Apr. 9 (Th)
  • Apr. 14 (T)
Hashing Techniques
  • Apr. 16 (Th)
Programming Assignment 2
  • Apr. 21 (T)
CNN based Image Search
  • Apr. 23 (Th)
  • Apr. 28 (T)
Mid-term exam(E3-1 3444, 4:00PM)
  • Apr. 30 (Th)
No class due to Buddha's birthday
  • May 5 (T)
No class due to children's day
  • May 7 (Th)
  • May 12 (T)
Students Presentation I:
1. XU YIN
  • May 14 (Th)
  • May 19 (T)
Students Presentation I:
1. GUOYUAN AN
2. Junsik Jung
  • May 21 (Th)
Students Presentation I:
1. Changho Jo
2. Chongsoo Chang
  • May 26 (T)
Mid-term presentation:
1. GUOYUAN AN
  • May 28 (Th)
Mid-term presentation:
1. Changho Jo
2. Chongsoo Chang
3. Junsik Jung
  • Jun. 2 (T)
Mid-term presentation:
1. XU YIN
  • Jun. 4 (Th)
Students Presentation II:
1. Junsik Jung
2. Changho Jo
  • Jun. 9 (T)
Students Presentation II:
1. XU YIN
2. Chongsoo Chang
  • Jun. 11 (Th)
Students Presentation II:
1. GUOYUAN AN
  • Jun. 16 (T)
No class (CVPR 20)
  • Jun. 18 (Th)
No class (CVPR 20)
  • Jun. 23 (T)
Final presentation:
1. XU YIN
2. GUOYUAN AN
  • Jun. 25 (Th)
Final presentation:
1. Changho Jo
2. Chongsoo Chang
3. Junsik Jung
  • Jun. 30 (T)
  • Jul. 2 (Th)
Reserved (final exam)
Line

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

Line

Additional reference materials and links

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

Paper search:

Line

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

Line

Copyright 2020. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the author.

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.