Novel effective X-path particle swarm optimization based deprived video data retrieval for smart city
Sign Up to like & getrecommendations! 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
A robust face super-resolution algorithm and its application in low-resolution face recognition system
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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.
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Estimation of Stellar Atmospheric Parameters from LAMOST DR8 Low-resolution Spectra with 20 ≤ S/N < 30
Sign Up to like & getrecommendations! Published in 2022 at "Research in Astronomy and Astrophysics"
DOI: 10.1088/1674-4527/ac65e7
Abstract: The accuracy of the estimated stellar atmospheric parameter evidently decreases with the decreasing of spectral signal-to-noise ratio (S/N) and there are a huge amount of this kind observations, especially in case of S/N < 30.… read more here.
Keywords: lamost dr8; low resolution; resolution spectra; stellar atmospheric ... See more keywords
Multi-task adaptive pooling enabled synergetic learning of RNA modification across tissue, type and species from low-resolution epitranscriptomes.
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad105
Abstract: Post- and co-transcriptional RNA modifications are found to play various roles in regulating essential biological processes at all stages of RNA life. Precise identification of RNA modification sites is thus crucial for understanding the related… read more here.
Keywords: modification; low resolution; rna modification; resolution ... See more keywords
A new MR-SAD algorithm for the automatic building of protein models from low-resolution X-ray data and a poor starting model
Sign Up to like & getrecommendations! Published in 2018 at "IUCrJ"
DOI: 10.1107/s2052252517017961
Abstract: A new algorithm automatically determines the structures of large macromolecules of unknown fold from low-resolution single-wavelength anomalous X-ray data and a partial model that failed with other methods. read more here.
Keywords: ray data; model; low resolution; algorithm ... See more keywords
Object Recognition in Very Low Resolution Images Using Deep Collaborative Learning
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2941005
Abstract: Although recent studies on object recognition using deep neural networks have reported remarkable performance, they have usually assumed that adequate object size and image resolution are available, which may not be guaranteed in real applications.… read more here.
Keywords: resolution; low resolution; object recognition; image ... See more keywords