New Algorithms Improve Image Search

bc90021 writes: "Electrical engineers from UC San Diego are making progress on a different kind of image search engine — one that analyzes the images themselves. At the core of this Supervised Multiclass Labeling (SML) system is a set of simple yet powerful algorithms developed at UCSD. Once you train the system, you can set it loose on a database of unlabeled images. The system calculates the probability that various objects or "classes" 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."