Sciweavers

1549 search results - page 22 / 310
» Semantic based image retrieval: a probabilistic approach
Sort
View
MM
2003
ACM
132views Multimedia» more  MM 2003»
15 years 3 months ago
On image auto-annotation with latent space models
Image auto-annotation, i.e., the association of words to whole images, has attracted considerable attention. In particular, unsupervised, probabilistic latent variable models of t...
Florent Monay, Daniel Gatica-Perez
APLAS
2007
ACM
15 years 2 months ago
A Systematic Approach to Probabilistic Pointer Analysis
Abstract. We present a formal framework for syntax directed probabilistic program analysis. Our focus is on probabilistic pointer analysis. We show how to obtain probabilistic poin...
Alessandra Di Pierro, Chris Hankin, Herbert Wiklic...
SIGMOD
2010
ACM
204views Database» more  SIGMOD 2010»
14 years 7 months ago
Multi-dimensional keyword-based image annotation and search
Effective keyword search on image databases is a major open problem, due to the inherent imprecision of keywords (tags) used to describe images' content. In this paper we pre...
Ilaria Bartolini, Paolo Ciaccia
CAISE
2006
Springer
15 years 1 months ago
The Meaning of an Image in Content-Based Image Retrieval
One of the major problems in CBIR is the so-called `semantic gap': the difference between low-level features, extracted from images, and the high-level `information need'...
Walter ten Brinke, David McG. Squire, John Bigelow
CVPR
2005
IEEE
15 years 3 months ago
Mapping Low-Level Features to High-Level Semantic Concepts in Region-Based Image Retrieval
In this a novel supervised learning method is proposed to map low-level visualfeatures to high-level semantic conceptsfor region-based image retrieval. The contributions of thispa...
Wei Jiang, Kap Luk Chan, Mingjing Li, HongJiang Zh...