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» Document Retrieval Using SIFT Image Features
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PAMI
2002
94views more  PAMI 2002»
13 years 7 months ago
Imaged Document Text Retrieval Without OCR
: We propose a method for text retrieval from document images without the use of OCR. Documents are segmented into character objects. Image features, namely the Vertical Traverse D...
Chew Lim Tan, Weihua Huang, Zhaohui Yu, Yi Xu
MMM
2008
Springer
127views Multimedia» more  MMM 2008»
14 years 1 months ago
A Query Language Combining Object Features and Semantic Events for Surveillance Video Retrieval
In this paper, we propose a novel query language for video indexing and retrieval that (1) enables to make queries both at the image level and at the semantic level (2) enables the...
Thi-Lan Le, Monique Thonnat, Alain Boucher, Fran&c...
CVPR
2012
IEEE
11 years 9 months ago
Three things everyone should know to improve object retrieval
The objective of this work is object retrieval in large scale image datasets, where the object is specified by an image query and retrieval should be immediate at run time in the...
Relja Arandjelovic, Andrew Zisserman
IBPRIA
2005
Springer
14 years 27 days ago
Monte Carlo Localization Using SIFT Features
The ability of finding its situation in a given environment is crucial for an autonomous agent. While navigating through a space, a mobile robot must be capable of finding its lo...
Arturo Gil, Óscar Reinoso, Maria Asunci&oac...
ICIAR
2010
Springer
14 years 5 days ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic