A review of content-based image retrieval systems in medical applications—clinical benefits and future directions
H Müller, N Michoux, D Bandon… - International journal of …, 2004 - Elsevier
Content-based visual information retrieval (CBVIR) or content-based image retrieval (CBIR)
has been one on the most vivid research areas in the field of computer vision over the last …
has been one on the most vivid research areas in the field of computer vision over the last …
Which is the best way to organize/classify images by content?
A Bosch, X Munoz, R Marti - Image and vision computing, 2007 - Elsevier
Thousands of images are generated every day, which implies the necessity to classify,
organise and access them using an easy, faster and efficient way. Scene classification, the …
organise and access them using an easy, faster and efficient way. Scene classification, the …
Video Google: A text retrieval approach to object matching in videos
We describe an approach to object and scene retrieval which searches for and localizes all
the occurrences of a user outlined object in a video. The object is represented by a set of …
the occurrences of a user outlined object in a video. The object is represented by a set of …
FAB-MAP: Probabilistic localization and mapping in the space of appearance
This paper describes a probabilistic approach to the problem of recognizing places based
on their appearance. The system we present is not limited to localization, but can determine …
on their appearance. The system we present is not limited to localization, but can determine …
Efficient visual search of videos cast as text retrieval
J Sivic, A Zisserman - IEEE transactions on pattern analysis …, 2008 - ieeexplore.ieee.org
We describe an approach to object retrieval which searches for and localizes all the
occurrences of an object in a video, given a query image of the object. The object is …
occurrences of an object in a video, given a query image of the object. The object is …
Video Google: Efficient visual search of videos
J Sivic, A Zisserman - Toward category-level object recognition, 2006 - Springer
We describe an approach to object retrieval which searches for and localizes all the
occurrences of an object in a video, given a query image of the object. The object is …
occurrences of an object in a video, given a query image of the object. The object is …
Evaluating performance of biomedical image retrieval systems—An overview of the medical image retrieval task at ImageCLEF 2004–2013
J Kalpathy-Cramer, AGS de Herrera… - … Medical Imaging and …, 2015 - Elsevier
Medical image retrieval and classification have been extremely active research topics over
the past 15 years. Within the ImageCLEF benchmark in medical image retrieval and …
the past 15 years. Within the ImageCLEF benchmark in medical image retrieval and …
Gait energy volumes and frontal gait recognition using depth images
S Sivapalan, D Chen, S Denman… - … Joint Conference on …, 2011 - ieeexplore.ieee.org
Gait energy images (GEIs) and its variants form the basis of many recent appearance-based
gait recognition systems. The GEI combines good recognition performance with a simple …
gait recognition systems. The GEI combines good recognition performance with a simple …
Coarse-to-fine vision-based localization by indexing scale-invariant features
This paper presents a novel coarse-to-fine global localization approach inspired by object
recognition and text retrieval techniques. Harris-Laplace interest points characterized by …
recognition and text retrieval techniques. Harris-Laplace interest points characterized by …
Detailed investigation of deep features with sparse representation and dimensionality reduction in cbir: A comparative study
AS Tarawneh, C Celik, AB Hassanat… - Intelligent Data …, 2020 - content.iospress.com
Research on content-based image retrieval (CBIR) has been under development for
decades, and numerous methods have been competing to extract the most discriminative …
decades, and numerous methods have been competing to extract the most discriminative …