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Deep Optimization model for Screen Content Image Quality Assessment using Neural Networks
[article]
2019
arXiv
pre-print
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In this paper, we propose a novel quadratic optimized model based on the deep convolutional neural network (QODCNN) for full-reference and no-reference screen content image (SCI) quality assessment. ...
Experimental results verify that our model outperforms both current no-reference and full-reference image quality assessment methods on the benchmark screen content image quality assessment database (SIQAD ...
In this work, we propose a novel algorithm for both NR and FR IQA of screen content images to solve limitations of the previous methods for screen content images based on patch-level CNN-based models. ...
arXiv:1903.00705v1
fatcat:cesomacdi5bsjdm5sykeyhq5hq
A REVIEW ON SPATIAL QUALITY ASSESSMENT METHODS FOR EVALUATION OF PAN-SHARPENED SATELLITE IMAGERY
2019
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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In this regard, in order to recognize the ability of quality assessment indices for detecting the spatial distortion quantity of fused images, input images of the fusion process are affected by some intentional ...
The high spatial quality of the fused image is essential for extraction, identification and reconstruction of significant image objects, and will result in producing high-quality large scale maps especially ...
Preservation Ratio (EPRr), Edge variance distortion (EVD), Gradient Magnitude Similarity (G-M-SIM), Gradient Direction Similarity (G-D-SIM), Edge similarity for screen content image (ESIM), and Just Noticeable ...
doi:10.5194/isprs-archives-xlii-4-w18-255-2019
fatcat:4fjowmhnpfdbravpqa5lvk7rsq
Blind Quality Evaluation for Screen Content Images Based on Regionalized Structural Features
2020
Algorithms
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Currently, screen content images (SCIs) are widely used in our modern society. ...
However, since SCIs have distinctly different properties compared to natural images, traditional quality assessment methods of natural images cannot precisely evaluate the quality of SCIs. ...
[18] , who proposed an FR screen content image quality assessment (SCIQA) method called SPQA. ...
doi:10.3390/a13100257
fatcat:g3v435x3kzacnjty3ozzscoaga
Screen Content Image Quality Assessment With Edge Features in Gradient Domain
2019
IEEE Access
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INDEX TERMS Image quality assessment, screen content image, edge feature, gradient domain. ...
Objective visual quality assessment specific for screen content images (SCIs) has been increasingly investigated over the years. ...
CONCLUSION In this paper, we propose a new screen content image (SCI) quality assessment model (EFGD). ...
doi:10.1109/access.2018.2889992
fatcat:u2xhokpl3fhlxa3tpq43gfeh7q
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution
[article]
2021
arXiv
pre-print
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At the receiver side, the super-resolution (SR) of low-resolution (LR) screen content images (SCIs) is highly demanded by the HR display or by the users to zoom in for detail observation. ...
Nowadays, there is an explosive growth of screen contents due to the wide application of screen sharing, remote cooperation, and online education. ...
Esim:
Edge similarity for screen content image quality assessment. IEEE Transactions on Image
Processing, 26(10):4818–4831, 2017.
[13] Huan Yang, Yuming Fang, and Weisi Lin. ...
arXiv:2112.06174v1
fatcat:u5tywi75avh33gddbn2zsaw5cy
Full Reference Screen Content Image Quality Assessment by Fusing Multi-level Structure Similarity
[article]
2020
arXiv
pre-print
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The screen content images (SCIs) usually comprise various content types with sharp edges, in which the artifacts or distortions can be well sensed by the vanilla structure similarity measurement in a full ...
such mismatch could eventually prevent these metrics from achieving trustworthy quality assessment. ...
Different from the quality assessment of NSIs, the existence of various image content types in SCIs (e.g. computer generated textures and graphics) makes the quality assessment more challenging. ...
arXiv:2008.05396v1
fatcat:clbtsdqqercc5mkajffikehjrq
No-Reference Image Quality Assessment Based on Edge Pattern feature in the Spatial Domain
2021
IEEE Access
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This paper proposes a general-purpose no-reference image quality assessment (NR-IQA) method that investigates the image's structure information from a new aspect, i.e., the characteristic of image edge ...
With the proposed edge patterns and their statistical histogram for the image and the support vector regression technique, we proposed the NR-IQA model based on the edge patterns in the spatial domain, ...
comparatively weaker performances on multiply distortion based databases or screen content images databases [21] . ...
doi:10.1109/access.2021.3112741
fatcat:mmp2s7bqffdszcc4kofq5usvku
Construction and Quality Evaluation of Heterogeneous Hierarchical Topic Models
[article]
2018
arXiv
pre-print
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We conduct an assessment experimentation and show strong correlation between the proposed measures and human judgement on topical edge quality. ...
We suggest several quality measures for edges of hierarchical models, resembling those proposed for flat models. ...
Contents is a textual representation of a document, without any images or markup. Suggestions include suggested tags and suggested documents. ...
arXiv:1811.02820v1
fatcat:aqf7ctdvhbdefipoxlvedvgjfi
Combined Full-Reference Image Quality Metrics for Objective Assessment of Multiply Distorted Images
2021
Electronics
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In the recent years, many objective image quality assessment methods have been proposed by different researchers, leading to a significant increase in their correlation with subjective quality evaluations ...
a need for their verification and adjustment for the case when images are affected by multiple distortions. ...
Some other recently proposed metrics used in experiments have been developed originally for the quality estimation of screen content images, such as SIQAD [50] and SCI_GSS [51] , as well as for the ...
doi:10.3390/electronics10182256
fatcat:xae55g45krczxkcyespejvyoai
Affective recommender systems in online news industry: how emotions influence reading choices
2018
User modeling and user-adapted interaction
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In this paper we introduce the Emotion Aware Recommender System (EARS), a large scale system for recommending news items using user's self-assessed emotional reactions. ...
items, construction of affective similarity measures, and validation of the EARS on a large corpus of real-world Web traffic. ...
The authors wish to express their gratitude to Analyx for continuous support and kind permission to publish the scientific results of the project. ...
doi:10.1007/s11257-018-9213-x
fatcat:5jkocm33gjclnnr6n3ebm4ll7m
Bibliometrics and Visual Analysis of the Research Status and Trends of Postpartum Depression From 2000 to 2020
2021
Frontiers in Psychology
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The high-frequency MeSH terms were clustered into six categories: an overview of depression-related research, diagnostic and screening scales for postpartum depression, epidemiological investigation into ...
We searched the Web of Science Core Collection for publications on postpartum depression published between 2000 and 2020. ...
In order to select the optimal number of clusters, we took the minimum average similarity between classes (ESim) and the maximum average similarity within classes (ISim) as the optimization indexes. ...
doi:10.3389/fpsyg.2021.665181
pmid:34108920
pmcid:PMC8180864
fatcat:fp6dtgexbrd4vls6bzkzqi3aeu
Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks
[article]
2024
arXiv
pre-print
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We conduct benchmark experiments for the existing methods in some representative research directions, i.e., image reconstruction, deblurring, and object recognition, to identify some critical insights ...
We first scrutinize the typical event representations with quality enhancement methods as they play a pivotal role as inputs to the DL models. ...
Experimental Analysis The authors present their model's performance in Tab. 5, showcasing its SoTA performance on indoor sequences for both Endpoint ...
arXiv:2302.08890v3
fatcat:norepgymkbgqbnhxt3wptn5hky
D1.2 Requirements definition and analysis from vertical industries and core applications
2019
Zenodo
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These services although do not require 5G are more than welcome to be hosted in the Operators' 5G networks since their revenues will help shorten the payback time of the initial investment (for rolling ...
SIM, eSIM, Key..) ...
SIM, eSIM, Key..) ...
doi:10.5281/zenodo.3628161
fatcat:jg4ppgqspbch7chjt2t3gy5jii
Fake news outbreak 2021: Can we stop the viral spread?
2021
Journal of Network and Computer Applications
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General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications ...
that users recognise and abide by the legal requirements associated with these rights. Users may download and print one copy of any publication from the public portal for the purpose of private study ...
are Limitation of content-based WSDM-Cup checking (Shiralkar et al., data set, Edge capacity promising for fact-checking approach (Pan et al., 2018) 2017 (Hannah 2017) Bastl, 2017) Bow-Tie and D-core ...
doi:10.1016/j.jnca.2021.103112
fatcat:4z6ghwqjbbdhrjmrx7tlh5xabq
"Gesamtkunstwerk" сценографиядағы шығармашылық технологиялардың прогрессивті идеясы ретінде
2022
Central Asian Journal of Art Studies
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The play features multimedia content, such as projections on an LED screen, scenery with "sails" as the main scenographic characters, tasteful choreographic compositions and live music on the cutting edge ...
At present, despite the high demand for artistic, aesthetic, and content quality in the domestic market in Kazakhstan, low-quality products are widely created. ...
Khalykov -preparation of concise content of the article in the abstract, analysis of the 'Gesamtkunstwerk' term origin in the Anglo-German and Russian sources in the context of the theoretical concept, ...
doi:10.47940/cajas.v7i1.523
fatcat:a6shzv27bjcnlebkuvtky5vg2q
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