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Mean Normalized Retrieval Order (MNRO): a new content-based image retrieval performance measure
(Springer, 2014)
The results of a content based image retrieval system can be evaluated by several performance measures, each one employing different evaluation criteria. Many of the methods used in the field of information retrieval have ...
Co.Vi.Wo.: Color Visual Words Based on Non-Predefined Size Codebooks
(IEEE, 2012)
Due to the rapid development of information technology and the continuously increasing number of available multimedia data, the task of retrieving information based on visual content has become a popular subject of scientific ...
Real-time adaptive multi-robot exploration with application to underwater map construction
(Springer, 2016)
This paper deals with the problem of autonomous exploration of unknown areas using teams of Autonomous X Vehicles (AXVs)—with X standing for Aerial, Underwater or Sea-surface—where the AXVs have to autonomously navigate ...
A Novel Image Retrieval Based on Visual Words Integration of SIFT and SURF
(2016)
With the recent evolution of technology, the number of image archives has increased exponentially. In Content-Based Image Retrieval (CBIR), high-level visual information is represented in the form of low-level features. ...
What, Where and How? Introducing pose manifolds for industrial object manipulation
(Elsevier, 2015)
In this paper we propose a novel method for object grasping that aims to unify robot vision techniques for 24
efficiently accomplishing the demanding task of autonomous object manipulation. Through ontological 25
concepts, ...
Dynamic two-stage image retrieval from large multimedia databases
(Elsevier, 2013)
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, ...
Image Moment Invariants as Local Features for Content Based Image Retrieval using the Bag-of-Visual-Words Model
(Elsevier, 2015)
This paper presents an image retrieval framework that uses affine image moment invariants as descriptors of local image areas. Detailed feature vectors are generated by feeding the produced moments into a Bag-of-Visual-Words ...
Accurate Image Retrieval Based on Compact Composite Descriptors and Relevance Feedback Information
(World Scientific Publishing Company, 2010)
In this paper a new set of descriptors appropriate for image indexing and retrieval is proposed.
The proposed descriptors address the tremendously increased need for e±cient content-based
image retrieval (CBIR) in many ...
Investigating the Behavior of Compact Composite Descriptors in Early Fusion, Late Fusion and Distributed Image Retrieval
(2010)
In Content-Based Image Retrieval (CBIR) systems, the visual content of the images is mapped into a new space named the feature space. The features that are chosen must be discriminative and sufficient for the description ...
Content based radiology image retrieval using a fuzzy rule based scalable composite descriptor
(2010)
The rapid advances made in the field of radiology, the increased frequency
in which oncological diseases appear, as well as the demand for regular medical checks,
led to the creation of a large database of radiology ...