Title :
Program chairs´ introduction to the first international workshop on stochastic image grammars (SIG-09) in conjunction with IEEE CVPR 2009
Author :
Todorovic, Sinisa ; Song-Chun Zhu
Author_Institution :
Sch. of EECS, Oregon State Univ., Corvallis, OR, USA
Abstract :
The major theme of the program is to identify challenges facing the work toward a unifying theoretical foundation of stochastic image grammars. The program has research topics that deals with stochastic image grammars. The topics include learning vocabularies of visual primitives and parts; hierarchical models of events, activities, and scenes; taxonomies and ontologies for activities; inference algorithm for image grammars; use of grammars for image parsing, and generating sentences of image interpretation; and image datasets and evaluating stochastic image grammars.
Keywords :
image processing; image grammar evaluation; image grammar theoretical foundation; image interpretation; image parsing; inference algorithm; stochastic image grammars; visual learning vocabulary;
Conference_Titel :
Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-3994-2
DOI :
10.1109/CVPRW.2009.5204339