DocumentCode
2962612
Title
A syntax for image understanding
Author
Ahuja, Narendra
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear
2009
fDate
20-25 June 2009
Firstpage
9
Lastpage
10
Abstract
We consider one of the most basic questions in computer vision, that of finding a low-level image representation that could be used to seed diverse, subsequent computations of image understanding. Can we define a relatively general purpose image representation which would serve as the syntax for diverse needs of image understanding? What makes good image syntax? How do we evaluate it? We pose a series of such questions and evolve a set of answers to them, which in turn help evolve an image representation. For concreteness, we first perform this exercise in the specific context of the following problem.
Keywords
computer vision; image representation; computer vision; image understanding syntax; low-level image representation; seed diverse image understanding; Computer vision; Humans; Image representation; Image segmentation; Layout; Object oriented modeling; Photometry; Probability distribution; Taxonomy; Tree graphs;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on
Conference_Location
Miami, FL
ISSN
2160-7508
Print_ISBN
978-1-4244-3994-2
Type
conf
DOI
10.1109/CVPRW.2009.5204337
Filename
5204337
Link To Document