ICDAR
2011
IEEE
13 years 1 days ago
2011
IEEE
—In this paper, we present a novel approach to search and retrieve from document image collections, without explicit recognition. Existing recognition-free approaches such as wor...
ICDAR
2011
IEEE
13 years 1 days ago
2011
IEEE
—In this paper, we present a segmentation-free word spotting method that is able to deal with heterogeneous document image collections. We propose a patch-based framework where p...
SCIA
2011
Springer
13 years 3 months ago
2011
Springer
We present a non-incremental approach to structure from motion. Our solution is based on robustly computing global rotations from relative geometries and feeding these into the kno...
ICMCS
2009
IEEE
13 years 10 months ago
2009
IEEE
As digital cameras and online photo sharing services become more popular, digital images are growing exponentially on the Internet. Thus supporting more effective retrieval from l...
VLC
2008
14 years 9 days ago
2008
Image collections are getting larger and larger. To access those collections, systems for managing, searching, and browsing are necessary. Visualization plays an essential role in...
APWEB
2003
Springer
14 years 5 months ago
2003
Springer
Abstract. Advances in content-based image retrieval(CBIR)lead to numerous efficient techniques for retrieving images based on their content features, such as colours, textures and ...
IROS
2007
IEEE
14 years 6 months ago
2007
IEEE
Abstract— In this paper we present a highly scalable visionbased localization and mapping method using image collections. A topological world representation is created online dur...
CBMS
2007
IEEE
14 years 6 months ago
2007
IEEE
The abundance of complex media-rich information in state-of-the-art bio-medical sciences underlines the importance of paradigms for organizing, searching, browsing, and assimilati...
ICCV
2001
IEEE
15 years 2 months ago
2001
IEEE
We present a statistical model for organizing image collections which integrates semantic information provided by associated text and visual information provided by image features...