8 search results - page 1 / 2 » Cascaded Classification Models: Combining Models for Holisti... |
NIPS
2008
13 years 5 months ago
2008
One of the original goals of computer vision was to fully understand a natural scene. This requires solving several sub-problems simultaneously, including object detection, region...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
We present a simple framework to model contextual
relationships between visual concepts. The new framework
combines ideas from previous object-centric methods
(which model conte...
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...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
High-level, or holistic, scene understanding involves
reasoning about objects, regions, and the 3D relationships
between them. This requires a representation above the
level of ...
CIVR
2007
Springer
13 years 10 months ago
2007
Springer
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...