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   Articles with "low resolution" as a keyword



Novel effective X-path particle swarm optimization based deprived video data retrieval for smart city

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recommendations! Published in 2017 at "Cluster Computing"

DOI: 10.1007/s10586-017-1244-2

Abstract: With the tremendous increase in low resolution videos on video sharing websites, retrieval of a correct video becomes a tougher task. The existing methods provide retrieval approaches based on minimum number of features comparison. It… read more here.

Keywords: video; low resolution; smart city; retrieval ... See more keywords
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A robust face super-resolution algorithm and its application in low-resolution face recognition system

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recommendations! Published in 2020 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-020-09072-5

Abstract: In real-world surveillance scenario, the face recognition (FR) systems pose a lot of challenges due to the captured low-resolution (LR) and noisy probe images. A new face super-resolution (SR) algorithm is proposed to design a… read more here.

Keywords: resolution; low resolution; face super; face ... See more keywords

PLS-CCA heterogeneous features fusion-based low-resolution human detection method for outdoor video surveillance

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recommendations! Published in 2017 at "International Journal of Automation and Computing"

DOI: 10.1007/s11633-016-1029-8

Abstract: In this paper, we focus on low-resolution human detection and propose a partial least squares-canonical correlation analysis (PLS-CCA) for outdoor video surveillance. The analysis relies on heterogeneous features fusion-based human detection method. The proposed method… read more here.

Keywords: resolution human; heterogeneous features; low resolution; method ... See more keywords

COnstrained Data Extrapolation (CODE): A new approach for high definition vascular imaging from low resolution data.

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recommendations! Published in 2017 at "Magnetic resonance imaging"

DOI: 10.1016/j.mri.2017.08.008

Abstract: PURPOSE To introduce a new approach to reconstruct high definition vascular images using COnstrained Data Extrapolation (CODE) and evaluate its capability in estimating vessel area and stenosis. MATERIALS AND METHODS CODE is based on the… read more here.

Keywords: low resolution; approach; high definition; code ... See more keywords

Region-based Mixture Models for human action recognition in low-resolution videos

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recommendations! Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.03.033

Abstract: State-of-the-art performance in human action recognition is achieved by the use of dense trajectories which are extracted by optical flow algorithms. However, optical flow algorithms are far from perfect in low-resolution (LR) videos. In addition,… read more here.

Keywords: action recognition; resolution videos; low resolution; recognition ... See more keywords

A method for preserving nominally-resolved flow patterns in low-resolution ocean simulations: Dynamical system reconstruction

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recommendations! Published in 2021 at "Ocean Modelling"

DOI: 10.1016/j.ocemod.2021.101939

Abstract: Accurate representation of large-scale flow patterns in low-resolution ocean simulations is one of the most challenging problems in ocean modelling. The main difficulty is to correctly reproduce effects of unresolved small scales on the resolved… read more here.

Keywords: system; nominally resolved; flow; low resolution ... See more keywords

An automated isotope identification and quantification algorithm for isotope mixtures in low-resolution gamma-ray spectra

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recommendations! Published in 2019 at "Radiation Physics and Chemistry"

DOI: 10.1016/j.radphyschem.2018.06.017

Abstract: Abstract There is a need to develop an automated isotope identification and quantification algorithm that can perform well using low-resolution gamma-ray detectors. The algorithm should be able to perform well on spectra that contain a… read more here.

Keywords: isotope; low resolution; isotope identification; isotope mixtures ... See more keywords

EXCOGITO, an Extensible Coarse-Graining Toolbox for the Investigation of Biomolecules by Means of Low-Resolution Representations

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recommendations! Published in 2024 at "Journal of chemical information and modeling"

DOI: 10.1021/acs.jcim.4c00490

Abstract: Bottom-up coarse-grained (CG) models proved to be essential to complement and sometimes even replace all-atom representations of soft matter systems and biological macromolecules. The development of low-resolution models takes the moves from the reduction of… read more here.

Keywords: low resolution; graining toolbox; coarse graining; resolution ... See more keywords

Single Molecule Localization Super-resolution Dataset for Deep Learning with Paired Low-resolution Images

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recommendations! Published in 2025 at "Scientific Data"

DOI: 10.1038/s41597-025-04979-w

Abstract: Deep learning super-resolution microscopy has advanced rapidly in recent years. Super-resolution images acquired by single molecule localization microscopy (SMLM) are ideal sources for high-quality datasets. However, the scarcity of public datasets limits the development of… read more here.

Keywords: deep learning; low resolution; resolution; smlm ... See more keywords

Automatic detecting multiple bone metastases in breast cancer using deep learning based on low-resolution bone scan images

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-92594-5

Abstract: Whole-body bone scan (WBS) is usually used as the effective diagnostic method for early-stage and comprehensive bone metastases of breast cancer. WBS images with breast cancer bone metastasis have the characteristics of low resolution, small… read more here.

Keywords: bone; breast cancer; low resolution; bone metastases ... See more keywords

Low-resolution prior equilibrium network for CT reconstruction

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recommendations! Published in 2024 at "Inverse Problems"

DOI: 10.1088/1361-6420/ad5d0d

Abstract: The unrolling method has been investigated for learning variational models in x-ray computed tomography. However, for incomplete data reconstruction, such as sparse-view and limited-angle problems, the unrolling method of gradient descent of the energy minimization… read more here.

Keywords: resolution prior; low resolution; reconstruction; model ... See more keywords