Results 21 to 30 of about 37,022,242 (283)
Content Based Image Retrieval (CBIR) by Statistical Methods
An image retrieval system is a computer system for browsing, looking and recovering pictures from a huge database of advanced pictures. The objective of Content-Based Image Retrieval (CBIR) methods is essentially to extract, from large (image) databases,
Fathala Ali et al.
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Survey on the privacy-preserving content based image retrieval
With the widespread popularity of smart devices and social media,the number of image data is exponentially increasing.The data owners tend to outsource the local data to the cloud servers,where data is stored,shared and retrieved.However,the content of ...
Ying WU, Xuan LI, Biao JIN, Rongrong JIN
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Multiple layar kernel-based approach in relevance feedback content-based image retrieval system [PDF]
Relevance feedback has drawn intense interest from many researchers in the field of content-based image retrieval (CBIR). In recent years, kernel-based approach has been a popular choice for the implementation of the relevance feedback based CBIR system.
Chun-Che Fung +3 more
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Retrieving unsafe behaviours from an existing digital database can provide managers and the like with the necessary information to put in place strategies to improve safety in construction.
Weili Fang +3 more
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Content-based image retrieval by clustering [PDF]
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high feature similarities to the query may be very different from the query in terms of semantics. This is known as the semantic gap.
Yixin Chen 0002 +2 more
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Adaptive Content-Based Medical Image Retrieval Based On Local Features Extraction In Shearlet Domain [PDF]
Image retrieval system is an urgent issue for in medicine. In the past, traditional image retrieval system based solely on the label of images and gave limited results.
Vo Tuyet +4 more
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Medical Image Registration Based Retrieval [PDF]
This paper presents a quantitative evaluation of state-of-the art intensity based image registration with retrieval methods applied to medical images. The purpose of this study is to access the stability of these methods for medical image analysis.
Swarnambiga AYYACHAMY +1 more
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Query-dependent metric learning for adaptive, content-based image browsing and retrieval [PDF]
Content-based image retrieval (CBIR) systems often incorporate a relevance feedback mechanism in which retrieval is adapted based on users identifying images as relevant or irrelevant.
Han, Junwei, McKenna, Stephen; id_orcid
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System refinement for content based satellite image retrieval
We are witnessing a large increase in satellite generated data especially in the form of images. Hence intelligent processing of the huge amount of data received by dozens of earth observing satellites, with specific satellite image oriented approaches ...
NourElDin Laban +3 more
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The Optimisation of Elementary and Integrative Content-Based Image Retrieval Techniques [PDF]
Image retrieval plays a major role in many image processing applications. However, a number of factors (e.g. rotation, non-uniform illumination, noise and lack of spatial information) can disrupt the outputs of image retrieval systems such that they ...
Aboaisha, Hosain
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