Content-Based 1xbet online games login Retrieval
Suppose you want to find a picture of a particular scene… for example, a beach. If you do an internet search using the word “beach,” only 1xbet online games login that someone has labeled with the word “beach” will come up. But there are innumerable web-accessible digital 1xbet online games login being created every day, including personal snapshots and 1xbet online games login from webcams, photo journalists, television stations, satellites, etc. Most of these 1xbet online games login will not be individually labeled by people, or their labels may not reflect the scene’s category (e.g., a picture labeled “Sue and Bill” may show them at a beach). However, our ability to find 1xbet online games login on the internet can be greatly aided by content-based image retrieval; that is, computer programs that retrieve 1xbet online games login that have been classified (labeled) based on their image characteristics (color, shapes, spatial frequencies, etc.). Creating image classification algorithms that categorize scenes just like humans is a very difficult problem in computer science, so our research on how people use specific information to recognize the gist of scene can be very useful in creating such algorithms.
We are currently collaborating on this topic with colleagues at the University of Illinois, Amit Sethi and Thomas Huang from the Department of Electrical and Computer Engineering, and Dan Simons from the Department of Psychology.
