Object Class Recognition using Images of Abstract Regions

lass Recognition using Images of Abstract Regions Yi Li, Jeff A. Bilmes, and Linda G. Shapiro Department of Computer Science and Engineering Department of Electrical Engineering University of Washington Seattle, WA 98195-2350 {shapiro@cs,yi@cs,bilmes@ee}.washington.edu With the advent of many large image databases, both commercial and personal, content-based image retrieval has become an important research area. While most early efforts retrieved images based on appearance, it is now recognized that most users want to retrieve images based on the objects present in them. This paper addresses the challenging task of recognizing common objects in color photographic images. We represent images as sets of feature vectors of multiple types of abstract regions, which come from various segmenrocesses.We model each abstract region as a mixture of Gaussian distributions over its feature space. We have developed a new semi-supervised version of the EM algorithm for learning the distributions of...

• Type: Conference
• Year: 2004
• Where: ICPR
• Authors: Jeff A. Bilmes, Linda G. Shapiro, Yi Li
• Keywords: Abstract Regions, Color Photographic Images, Computer Vision, Efforts Retrieved Images, ICPR 2004