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109
Voted
ICIP
2005
IEEE
15 years 8 months ago
Using Tsallis entropy into a Bayesian network for CBIR
This paper presents a Bayesian Network model for ContentBased Image Retrieval (CBIR). In the explanation and test of this work, only two images features (semantic evidences) are i...
Paulo S. Rodrigues, Gilson A. Giraldi, Ade A. Arau...
139
Voted
CVPR
2012
IEEE
13 years 5 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
SIGIR
2006
ACM
15 years 8 months ago
Information retrieval with commonsense knowledge
This paper employs ConceptNet, which covers a rich set of commonsense concepts, to retrieve images with text descriptions by focusing on spatial relationships. Evaluation on test ...
Ming-Hung Hsu, Hsin-Hsi Chen
139
Voted
ICCV
2007
IEEE
15 years 9 months ago
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
Given a query image of an object, our objective is to retrieve all instances of that object in a large (1M+) image database. We adopt the bag-of-visual-words architecture which ha...
Ondrej Chum, James Philbin, Josef Sivic, Michael I...
ISBI
2008
IEEE
15 years 9 months ago
Multimodal medical case retrieval using Bayesian networks and the Dezert-Smarandache theory
In this paper, we present a Case Based Reasoning (CBR) system for the retrieval of medical cases made up of a series of images with semantic information (such as the patient age, ...
Gwénolé Quellec, Mathieu Lamard, Lyn...