ICPR
2010
IEEE
13 years 2 months ago
2010
IEEE
We propose a scene classification method, which combines two popular methods in the literature: Spatial Pyramid Matching (SPM) and probabilistic Latent Semantic Analysis (pLSA) mod...
DICTA
2009
13 years 6 months ago
2009
Abstract--Context plays a valuable role in any image understanding task confirmed by numerous studies which have shown the importance of contextual information in computer vision t...
ICMCS
2006
IEEE
13 years 11 months ago
2006
IEEE
Semantic scene classification is a useful, yet challenging problem in image understanding. Most existing systems are based on low-level features, such as color or texture, and suc...
ICIG
2009
IEEE
13 years 11 months ago
2009
IEEE
Classifying natural scenes into semantic categories has always been a challenging task. So far, many works in this field are primarily intended for single label classification, wh...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
Prior research in scene classification has shown that high-level information can be inferred from low-level image features. Classification rates of roughly 90% have been reported ...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Semantic scene classification is an open problem in image understanding, especially when information purely from image content (i.e., pixels) is employed. However, in applications...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised man...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
Classifying pictures into one of several semantic categories is a classical image understanding problem. In this paper, we present a stratified approach to both binary (outdoor-in...