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CLEF
2005
Springer
13 years 9 months ago
Combining Textual and Visual Features for Image Retrieval
This paper presents the approaches used by the MIRACLE team to image retrieval at ImageCLEF 2005. Text-based and content-based techniques have been tested, along with combination o...
José Luis Martínez-Fernández,...
CLEF
2004
Springer
13 years 9 months ago
ImageCLEF 2004: Combining Image and Multi-lingual Search for Medical Image Retrieval
This article describes the technologies used for the various runs submitted by the University of Geneva in the context of the 2004 ImageCLEF competition. As our expertise is mainly...
Henning Müller, Antoine Geissbühler, Pat...
CLEF
2004
Springer
13 years 9 months ago
From Text to Image: Generating Visual Query for Image Retrieval
In this paper, we explore the help of visual features to cross-language image retrieval. We propose an approach that transforms textual queries into visual representations. The re...
Wen-Cheng Lin, Yih-Chen Chang, Hsin-Hsi Chen
MM
2010
ACM
192views Multimedia» more  MM 2010»
13 years 3 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
DMS
2010
229views Multimedia» more  DMS 2010»
13 years 2 months ago
Image Annotation System Using Visual and Textual Features
We present an automated Image Annotation system called I-Tag which uses both visual and textual information of the images and recommends relevant tags for them. The automatic gene...
Swapnil Barai, Alfonso F. Cardenas