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Content based radiology image retrieval using a fuzzy rule based scalable composite descriptor
(Springer Nature, 2009)
The rapid advances made in the field of radiology, the increased frequency in which oncological diseases appear, as well as the demand for prevailing medical checks, led to the creation of a large database of radiology ...
Golden Retriever - A Java Based Open Source Image Retrieval Engine
(ACM, 2013)
Golden Retriever Image Retrieval Engine (GRire) is an open
source light weight Java library developed for Content Based
Image Retrieval (CBIR) tasks, employing the Bag of Visual
Words (BOVW) model. It provides a complete ...
Comparative Performance Evaluation of Image Descriptors Over IEEE 802.11b NoisyWireless Networks
(IEEE (Computer Society), 2011)
Abstract—In this paper we evaluate the image retrieval
procedure over an IEEE 802.11b Ad Hoc network, operating
in 2.4GHz, using IEEE Distributed Coordination Function
CSMA/CA as the multiple access scheme. IEEE 802.11 ...
Bag-of-visual-words vs global image descriptors on two-stage multimodal retrieval
(ACM SIGIR 2011, 2011)
The Bag-Of-Visual-Words (BOVW) paradigm is fast becoming a
popular image representation for Content-Based Image Retrieval
(CBIR), mainly because of its better retrieval effectiveness over
global feature representations ...
Accelerating Image Retrieval Using Binary Haar Wavelet Transform on the Color and Edge Directivity Descriptor
(Institute of Electrical and Electronics Engineers (IEEE), United States, 2010)
In this paper, a new accelerating technique for
content-based image retrieval is proposed, suitable for the
Color and Edge Directivity Descriptor (CEDD). To date, the
experimental results presented in the literature ...
Automatic Image Annotation and Retrieval Using the Joint Composite Descriptor
(Institute of Electrical and Electronics Engineers (IEEE), United States, 2010)
Capable tools are needed in order to successfully search and retrieve a suitable image from large image collections. Many content-based image retrieval systems employ low-level image features such as color, texture and ...
Hybrid scheme for fast and accurate image retrieval based on color descriptors
(ACTA Press, Canada, 2007)
This paper proposes a new image retrieval system, thatuses only color features and it's based on a hybrid scheme which combines crisp and fuzzy techniques, in order to retrieve color based similar images. The system ...
Late fusion of compact composite descriptors for retrieval from heterogeneous image databases
(Association for Computing Machinery (ACM), United States, 2010)
Compact composite descriptors (CCDs) are global image
features, capturing more than one types of information at
the same time in a very compact representation. Their quality
has so far been evaluated in retrieval from ...
Dynamic Two-Stage Image Retrieval from Large Multimodal Databases
(Springer-Verlag, 2011)
Content-based image retrieval (CBIR) with global features is notoriously noisy, especially for image queries with low percentages of relevant images in a collection. Moreover, CBIR typically ranks the whole collection, ...
CEDD: Color and Edge Directivity Descriptor: A Compact Descriptor for Image Indexing and Retrieval
(Springer-Verlag, 2008)
This paper deals with a new low level feature that is extracted from the images and can be used for indexing and retrieval. This feature is called “Color and Edge Directivity Descriptor” and incorporates color and texture ...