School of Computing

Korea Advanced Institute of Science and Technology (KAIST)

Your IP is 54.80.188.87

CS688: Web-Scale Image Retrieval (Fall 2018)

Instructor: Sung-eui Yoon

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Outline

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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:

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Lecture schedule (subject to change)

Date Topics and slides Related material(s)
  • Aug. 28 (T)
Overview on the course and course policy
  • Aug. 30 (Th)
Keypoint Localization
  • Sep. 4 (T)
  • Sep. 6 (Th)
No class due to attending BMVC
  • Sep. 11 (T)
Scale Invariant Region Selection and SIFT
  • Sep. 13 (Th)
Linear Classification
  • Sep. 18 (T)
Bag-of-Words (BoW) Models for Local Descriptors
  • Sep. 27 (Th)
Deep Neural Nets and Features
  • Oct. 2 (T)
Image Search with Deep Learning
  • Oct. 4 (Th)
Hashing Techniques
  • Oct. 23 (T)
  • Students Presentation I (2/3 talks per each class)
  • 송치완 신희찬
  • Oct. 25 (Th)
  • 이도헌 조민기 김재윤
  • Oct. 30 (T)
  • 정병의 조현율 윤희수
  • Nov. 1 (Th)
  • 이상윤 심영보 황태운
  • Nov. 6 (T)
  • 김태희
  • Nov. 8 (Th)
  • Nov. 13 (T)
Mid-term project presentation
  • Nov. 15 (Th)
  • Students Presentation I (3 talks per each class)
  • 김태희 심영보 이상윤
  • Nov. 20 (T)
  • 황태운 조민기 송치완
  • Nov. 22 (Th)
  • 윤희수 이도헌 김재윤
  • Nov. 27 (T)
  • 조현율 정병의 신희찬
  • Nov. 29 (Th)
No class due to undergraduate interview
  • Dec. 4 (T)
  • Dec. 6 (Th)
Final project presentation
  • Dec. 11 (T)
  • Dec. 13 (Th)
Reserved (final exam)
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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

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Additional reference materials and links

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

Paper search:

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

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