A Bayesian hierarchical model for learning natural scene categories

• Published in: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 2; pp. 524 - 531 vol. 2
• Main Authors: Fei-Fei, L., Perona, P.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Animals; Bayesian methods; Cities and towns; Dictionaries; Frequency; Histograms; Humans; Layout; Unsupervised learning; Vehicles

We propose a novel approach to learn and recognize natural scene categories. Unlike previous work, it does not require experts to annotate the training set. We represent the image of a scene by a collection of local regions, denoted as codewords obtained by unsupervised learning. Each region is repr...