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Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22890
Abstract: Nowadays, several image‐based smart services have been widely used in our daily lives, generating many digital images. Since smart devices outsource digital images to the cloud, researchers prefer to select some desired targets from the…
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Keywords:
privacy preserving;
retrieval;
security;
image retrieval ... See more keywords
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Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3611-1
Abstract: AbstractGray-level co-occurrence matrix (GLCM) is one of the oldest techniques used for texture analysis. It has two important parameters, i.e., distance and direction. In this paper, various combinations of distance and directional angles used for…
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Keywords:
based image;
image;
pattern based;
pattern ... See more keywords
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Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05017-z
Abstract: This paper presents a content-based image retrieval technique that focuses on extraction and reduction in multiple features. To obtain multi-level decomposition of the image by extracting approximation and correct coefficients, discrete wavelet transformation is applied…
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Keywords:
based image;
image;
content based;
classification ... See more keywords
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Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05614-y
Abstract: Content-based image retrieval is the process of retrieving images similar to the Query Image. The task of finding the dissimilarity among the different objects is the primary challenge in the content-based retrieval system. The challenge…
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Keywords:
based image;
image;
content based;
image retrieval ... See more keywords
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Published in 2017 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-017-9591-1
Abstract: Plenty of data are available due to the growth of digital technology that creates a high expectation in retrieving the relevant images, accurately and efficiently for a given query image. For searching the relevant images…
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Keywords:
nearest neighbor;
hash;
image;
image retrieval ... See more keywords
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Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4758-y
Abstract: Sketch-based image retrieval (SBIR) lets one express a precise visual query with simple and widespread means. In the SBIR approaches, the challenge consists in representing the image dataset features in a structure that allows one…
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Keywords:
based image;
image;
image retrieval;
sketch based ... See more keywords
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Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6708-8
Abstract: Content Based Image retrieval systems (CBIR) retrieve the image features from the massive databases using the retrival set [ 15 ]. The Extracted image set will be maintained in a secured repository to enhance the…
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Keywords:
based image;
image;
content based;
image retrieval ... See more keywords
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Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6855-y
Abstract: Currently, due to the exponential growth of online images, it is necessary to consider image retrieval among large number of images, which is very time-consuming and unscalable. Although many hashing methods has been proposed, they…
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Keywords:
image;
hash;
linear discriminant;
image retrieval ... See more keywords
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Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7725-y
Abstract: This paper focuses on the vessel image retrieval from massive data, whose goal is to identify relevant records quickly and accurately when new images are given. Noteworthy, it is necessary to find features with high…
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Keywords:
large scale;
retrieval large;
vessels images;
image ... See more keywords
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Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09219-4
Abstract: The increase in the popularity of social websites and smartphones has helped people to easily click photos and upload them on the internet. Almost 60% of the photos are human faces. There might be an…
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Keywords:
retrieval system;
face;
image retrieval;
face image ... See more keywords
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Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09292-9
Abstract: Given the great success of Convolutional Neural Network (CNN) for image representation and classification tasks, we argue that Content-Based Image Retrieval (CBIR) systems could also leverage on CNN capabilities, mainly when Relevance Feedback (RF) mechanisms…
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Keywords:
based image;
image;
content based;
image retrieval ... See more keywords