Sciweavers

Share
WWW
2008
ACM

Automatic web image selection with a probabilistic latent topic model

9 years 4 months ago
Automatic web image selection with a probabilistic latent topic model
We propose a new method to select relevant images to the given keywords from images gathered from the Web based on the Probabilistic Latent Semantic Analysis (PLSA) model which is a probabilistic latent topic model originally proposed for text document analysis. The experimental results show that the results by the proposed method are almost equivalent to or outperform the results by existing methods. In addition, it is proved that our method can select more various images compared to the existing SVM-based methods. Categories and Subject Descriptors: I.4 [Image Processing and Computer Vision]: Miscellaneous General Terms: Algorithms, Experimentation
Keiji Yanai
Added 21 Nov 2009
Updated 21 Nov 2009
Type Conference
Year 2008
Where WWW
Authors Keiji Yanai
Comments (0)
books