Sciweavers

80 search results - page 4 / 16
» Bridging the Semantic Gap Between Image Contents and Tags
Sort
View
MM
2010
ACM
192views Multimedia» more  MM 2010»
13 years 6 months ago
iLike: integrating visual and textual features for vertical search
Content-based image search on the Internet is a challenging problem, mostly due to the semantic gap between low-level visual features and high-level content, as well as the excess...
Yuxin Chen, Nenghai Yu, Bo Luo, Xue-wen Chen
CAISE
2006
Springer
13 years 10 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
ICIP
2006
IEEE
14 years 8 months ago
Perceptual Feature Selection for Semantic Image Classification
Content-based image retrieval has become an indispensable tool for managing the rapidly growing collections of digital images. The goal is to organize the contents semantically, a...
Dejan Depalov, Thrasyvoulos N. Pappas, Dongge Li, ...
CIVR
2006
Springer
128views Image Analysis» more  CIVR 2006»
13 years 10 months ago
Using Topic Concepts for Semantic Video Shots Classification
Automatic semantic classification of video databases is very useful for users searching and browsing but it is a very challenging research problem as well. Combination of visual an...
Stéphane Ayache, Georges Quénot, J&e...
SIGIR
2008
ACM
13 years 6 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang