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MIR
2004
ACM
236views Multimedia» more  MIR 2004»
14 years 1 months ago
Boosting contextual information in content-based image retrieval
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...
CIVR
2009
Springer
212views Image Analysis» more  CIVR 2009»
14 years 2 months ago
NUS-WIDE: a real-world web image database from National University of Singapore
This paper introduces a web image dataset created by NUS’s Lab for Media Search. The dataset includes: (1) 269,648 images and the associated tags from Flickr, with a total of 5,...
Tat-Seng Chua, Jinhui Tang, Richang Hong, Haojie L...
CIVR
2007
Springer
199views Image Analysis» more  CIVR 2007»
14 years 1 months ago
New local descriptors based on dissociated dipoles
This paper describes new local photometric descriptors based on dissociated dipoles for transformed images or rigid objects retrieval. Dissociated dipoles are non local different...
Alexis Joly
ICMCS
2006
IEEE
189views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Multiscale Edge-Based Text Extraction from Complex Images
Text that appears in images contains important and useful information. Detection and extraction of text in images have been used in many applications. In this paper, we propose a ...
Xiaoqing Liu, Jagath Samarabandu
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
13 years 6 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...