CS 598 Visual Information Retrieval

Visual information retrieval studies the processing, indexing, querying, organization, classification, search, and browsing of visual information from images, videos, and other new emerging visual media. This course will cover traditional techniques as well as recent advances in visual information retrieval, especially under the context of web-scale image and video search. Students will acquire in-depth knowledge on state-of-the-art algorithms and technologies to transform unstructured visual data into structured representation for indexing and retrieval. These algorithms and technologies have empowered a broad range of applications in internet image and video search engine mobile augmented reality, location recognition, and online shopping, etc. Pre-Req: Undergraduate data structures and algorithms OR CS 590.




(CS 590 or CS 385) and Graduate Student or At Least a Junior


Computer Science Program

Typically Offered Periods

Spring Semester