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....

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	International journal of computer vision Jg. 88; H. 2; S. 147 - 168
Hauptverfasser:	Li, Li-Jia, Fei-Fei, Li
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer US 01.06.2010 Springer Springer Nature B.V
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!