Sciweavers

320 search results - page 1 / 64
» Image Retrieval and Annotation Using Maximum Entropy
Sort
View
CLEF
2006
Springer
13 years 8 months ago
Image Retrieval and Annotation Using Maximum Entropy
I feel smaller than 10 words but should be 250 words. Categories and Subject Descriptors H.3 [Information Storage and Retrieval]: H.3.3 Information Search and Retrieval ; I.5 [Pat...
Thomas Deselaers, Tobias Weyand, Hermann Ney
IJCNLP
2005
Springer
13 years 10 months ago
Automatic Image Annotation Using Maximum Entropy Model
Automatic image annotation is a newly developed and promising technique to provide semantic image retrieval via text descriptions. It concerns a process of automatically labeling t...
Wei Li, Maosong Sun
CIVR
2004
Springer
117views Image Analysis» more  CIVR 2004»
13 years 10 months ago
Using Maximum Entropy for Automatic Image Annotation
In this paper, we propose the use of the Maximum Entropy approach for the task of automatic image annotation. Given labeled training data, Maximum Entropy is a statistical techniqu...
Jiwoon Jeon, R. Manmatha
ICMCS
2006
IEEE
124views Multimedia» more  ICMCS 2006»
13 years 10 months ago
Content-Free Image Retrieval using Bayesian Product Rule
Content-free image retrieval uses accumulated user feedback records to retrieve images without analyzing image pixels. We present a Bayesian-based algorithm to analyze user feedba...
David Liu, Tsuhan Chen
ICMCS
2007
IEEE
155views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Hidden Maximum Entropy Approach for Visual Concept Modeling
Recently, the bag-of-words approach has been successfully applied to automatic image annotation, object recognition, etc. The method needs to first quantize an image using the vis...
Sheng Gao, Joo-Hwee Lim, Qibin Sun