New Algorithms Improve Image Search

bc90021 writes "Electrical engineers from UC San Diego are making progress on an image search engine that analyzes the images themselves. At the core of this Supervised Multiclass Labeling system is a set of simple yet powerful algorithms developed at UCSD. Once you train the system (the 'supervised' part), you can set it loose on a database of unlabeled images. The system calculates the probability that various objects it has been trained to recognize are present, and labels the images accordingly. After labeling, images can be retrieved via keyword searches. Accuracy of the UCSD system has outpaced that of other content-based image labeling and retrieval systems in the literature. One of the co-authors works at Google, where the researchers have access to image collections at the largest of scales."

Comments

Jim Gray

[Dan100]

I wonder if this kind of technology could possibly locate Jim Gray's boat. As no wreckage was ever found, Gray was likely incapacitated in some way and the boat sailed under the autohelm far out into the deep ocean until the fuel tank ran dry. Technology like this could maybe scan satellite imagery looking for the Tenacious.

I believe she's out there, somewhere.