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ECIR
2009
Springer
14 years 8 months ago
Exploiting Visual Concepts to Improve Text-Based Image Retrieval
In this paper, we study how to automatically exploit visual concepts in a text-based image retrieval task. First, we use Forest of Fuzzy Decision Trees (FFDTs) to automatically ann...
Sabrina Tollari, Marcin Detyniecki, Christophe Mar...
CLEF
2008
Springer
14 years 26 days ago
Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval
In this article, we focus our efforts (i) on the study of how to automatically extract and exploit visual concepts and (ii) on fast visual diversity. First, in the Visual Concept D...
Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tab...
CLEF
2010
Springer
14 years 5 days ago
A Text-Based Approach to the ImageCLEF 2010 Photo Annotation Task
The challenges of searching the increasingly large collections of digital images which are appearing in many places mean that automated annotation of images is becoming an importan...
Wei Li, Jinming Min, Gareth J. F. Jones
MIR
2010
ACM
232views Multimedia» more  MIR 2010»
14 years 6 months ago
Exploiting external knowledge to improve video retrieval
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...
David Vallet, Iván Cantador, Joemon M. Jose
MMS
2006
13 years 11 months ago
A probabilistic semantic model for image annotation and multi-modal image retrieval
This paper addresses automatic image annotation problem and its application to multi-modal image retrieval. The contribution of our work is three-fold. (1) We propose a probabilis...
Ruofei Zhang, Zhongfei (Mark) Zhang, Mingjing Li, ...