OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning

The explosion of the Internet provides us with a tremendous resource of images shared online. It also confronts vision researchers the problem of finding effective methods to navigate the vast amount of visual information. Semantic image understanding plays a vital role towards solving this problem....

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Bibliographic Details
Published in:	International journal of computer vision Vol. 88; no. 2; pp. 147 - 168
Main Authors:	Li, Li-Jia, Fei-Fei, Li
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.06.2010 Springer Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Categories Computer Imaging Computer Science Datasets Human Image Processing and Computer Vision Internet Learning Monte Carlo method Object recognition On-line systems Pattern Recognition Pattern Recognition and Graphics Vision Graphical model Internet vision Image retrieval Object recognition Annotation Dataset collection Incremental learning Non-parametric model Semi-supervised learning Polysemy Classification Object localization Markov Chain Monte Carlo sampling Topic model Generative model
ISSN:	0920-5691, 1573-1405
Online Access:	Get full text
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