Indoor vs outdoor classification of consumer photographs using low-level and semantic features

Jiebo Luo, A. Savakis
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)  
Scene categorization to indoor vs outdoor may be approached by using low-level features for inferring high-level information about the image. Low-level features such as color and texture have been used extensively in image understanding research, however, they cannot solve the problem completely. In this paper, we propose the use of a Bayesian network for integrating knowledge from low-level and midlevel features for indoor vs outdoor classification of images. Using ground truth data for sky
more » ... grass detection, we demonstrate that the classification performance can be significantly improved when mid-level features are employed in the classification process.
doi:10.1109/icip.2001.958601 dblp:conf/icip/LuoS01 fatcat:odrvcjumvfebpc5rsy7yiwrxc4