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Data assessment and prioritization in mobile networks for real-time prediction of spatial information using machine learning

Ryoichi Shinkuma, Takayuki Nishio, Yuichi Inagaki, Eiji Oki
2020 EURASIP Journal on Wireless Communications and Networking  
A new framework of data assessment and prioritization for real-time prediction of spatial information is presented.  ...  However, since image data collected by mobile devices and vehicles need to be delivered to the server in real time to extract input data for real-time prediction, the uplink transmission speed of mobile  ...  Authors' contributions The authors propose a framework of data assessment and prioritization that reduces the uplink traffic volume while maintaining the prediction accuracy of spatial information.  ... 
doi:10.1186/s13638-020-01709-1 fatcat:prk6dgbmqfgala4vsr7qg3xdau

Recognition Oriented Iris Image Quality Assessment in the Feature Space [article]

Leyuan Wang, Kunbo Zhang, Min Ren, Yunlong Wang, Zhenan Sun
2020 arXiv   pre-print
A large portion of iris images captured in real world scenarios are poor quality due to the uncontrolled environment and the non-cooperative subject.  ...  In this paper, we propose a recognition-oriented quality metric and assessment method for iris image to deal with the problem.  ...  mobile devices in real-time.  ... 
arXiv:2009.00294v2 fatcat:zxxsqod4r5ahlbj7l44oniodx4

Super Resolution Image Visual Quality Assessment Based on Feature Optimization

Shu Lei, Huang Zijian, Yan Jiebin, Fei Fengchang, Dalin Zhang
2022 Computational Intelligence and Neuroscience  
In summary, we proposed a feature optimization framework to solve the current problem of irrelevant features in SR-IQA, and an SR image quality assessment model was proposed consequently.  ...  Most existing no-referenced image quality assessment (NR-IQA) algorithms need to extract features first and then predict image quality.  ...  Conclusion In this paper, an SR image quality assessment model based on feature aggregation is proposed, and a feature optimization framework is proposed to optimize the aggregated features.  ... 
doi:10.1155/2022/1263348 pmid:35769272 pmcid:PMC9236850 fatcat:cfqcjagtmjccbmwrvttgza4ghu

A deep learning framework for quality assessment and restoration in video endoscopy [article]

Sharib Ali, Felix Zhou, Adam Bailey, Barbara Braden, James East, Xin Lu, Jens Rittscher
2019 arXiv   pre-print
We introduce a quality metric to assess frame quality and predict image restoration success.  ...  Our detector yields the highest mean average precision (mAP at 5% threshold) of 49.0 and the lowest computational time of 88 ms allowing for accurate real-time processing.  ...  In particular, as each module in the proposed framework is formulated as a neural network, our framework can fully take advantage of the real-time processing capabilities of modern GPUs.  ... 
arXiv:1904.07073v1 fatcat:aixdba6zazdzzjqebwbeiu7snm

No-reference remote sensing image quality assessment based on gradient-weighted natural scene statistics in spatial domain

Junhua Yan, Xuehan Bai, Yongqi Xiao, Yin Zhang, Xiangyang Lv
2019 Journal of Electronic Imaging (JEI)  
Considering the relatively poor real-time performance when extracting transform-domain image features and the insufficiency of spatial domain features extraction, a no-reference remote sensing image quality  ...  assessment method based on gradient-weighted spatial natural scene statistics is proposed.  ...  Comparing with BLIINDS-II, SSEQ has higher real-time performance. However, SSEQ spends a lot of time on extracting features.  ... 
doi:10.1117/1.jei.28.1.013033 fatcat:w2r7ztbfd5czhfzhuzarmxn6ka

Stereoscopic image quality assessment method based on binocular combination saliency model

Yun Liu, Jiachen Yang, Qinggang Meng, Zhihan Lv, Zhanjie Song, Zhiqun Gao
2016 Signal Processing  
Stereoscopic image quality assessment method based on binocular combination saliency model.  ...  Abstract The objective quality assessment of stereoscopic images plays an important role in three-dimensional (3D) technologies.  ...  This research is partially supported by the National Natural Science Foundation of China (Nos. 61471260 and 61271324), and Program for New Century Excellent Talents in University (NCET-12-0400).  ... 
doi:10.1016/j.sigpro.2016.01.019 fatcat:76ncie44nbc7ti7ejfq7szazmu

No-Reference Image Quality Assessment Based on Image Multi-Scale Contour Prediction

Fan Wang, Jia Chen, Haonan Zhong, Yibo Ai, Weidong Zhang
2022 Applied Sciences  
Accurately assessing image quality is a challenging task, especially without a reference image.  ...  Currently, most of the no-reference image quality assessment methods still require reference images in the training stage, but reference images are usually not available in real scenes.  ...  [37] , a feature channel weight module is added to the model, and the framework is shown in Figure 6 .  ... 
doi:10.3390/app12062833 fatcat:ml7nlnfs7ngqnglp6xhgnvxgqm

Method for Improving Camouflage Image Quality using Texture Analysis

Kalyani V., K. N.
2017 International Journal of Computer Applications  
A camouflage texture evaluation method predicated on SSIM (Weight structural homogeneous attribute) is given to access the effects of camouflage texture at first.Then nature image features between the  ...  And a variety of features, measuring thresholds for discriminating small changes in naturalistic images have been studied to direct the camouflage texture designing.  ...  Based on human visual model, we propose a camouflage texture assessment framework to get the differences of background image and camouflage textures.  ... 
doi:10.5120/ijca2017915907 fatcat:byjnx3eelnewvj2rzxroo6hyym

Dynamic Audio-Visual Biometric Fusion for Person Recognition

Mohammad Ghalandari, Ibrahim Mahariq, Farhad Ghadak, Oussama Accouche, Fahd Jarad
2022 Computers Materials & Continua  
Here, the facial data quality assessment of face images is mainly based on the existence of occlusion, whereas the assessment of voice data quality is substantially based on the calculation of signal to  ...  In this paper, we propose two algorithms that effectively apply dynamic fusion at feature level based on the data quality of multimodal biometrics.  ...  Acknowledgement: The authors would like to thank King Abdulaziz University Scientific Endowment for funding the research reported in this paper.  ... 
doi:10.32604/cmc.2022.021608 fatcat:c7t3wrbwujdmdpy523qmedric4

Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks [article]

Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen
2019 arXiv   pre-print
In this paper, we introduce an image quality assessment (IQA) method for pediatric T1- and T2-weighted MR images.  ...  Using a small set of quality-assessed images, we pre-train NR-Net to annotate each image slice with an initial quality rating (i.e., pass, questionable, fail), which we then refine by semi-supervised learning  ...  ACKNOWLEDGEMENT This work was supported in part by NIH grants (MH117943, EB006733, AG041721, 1U01MH110274, NS093842, EB022880, and MH100217) and the efforts of the UNC/UMN Baby Connectome Project Consortium  ... 
arXiv:1904.03639v1 fatcat:sq4pllaogbbwzmy2vtmczabfaa

Blind Stereo Image Quality Evaluation Based on Convolutional Network and Saliency Weighting

Wujie Zhou
2019 Mathematical Problems in Engineering  
Therefore, in this study, a blind stereo image quality evaluation (SIQE) algorithm based on convolutional network and saliency weighting is proposed.  ...  The main network framework used by the algorithm is the quality map generation network, which is used to train the distortion image dataset and quality map label to obtain an optimal network framework.  ...  In terms of speed, the method proposed in this paper can achieve real-time prediction (the real-time system run at the speed of 25 frames per second).  ... 
doi:10.1155/2019/1384921 fatcat:jxraojfc5bazde3mulid6adnu4

Circular-ELM for the reduced-reference assessment of perceived image quality

Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria, Judith Redi
2013 Neurocomputing  
Most of the computational power is spent in the off-line training phase; indeed, a trained system can support real-time quality assessment with a minimal overhead to the feature extraction computational  ...  At the same time, one wants to compare the performances of C-ELM, ELM and CBP when they are embedded in a visual quality-assessment framework.  ...  Her main research interests concern the understanding of Visual perception and Quality of the Visual Experience, and in the use of Computational Intelligence for modeling them.  ... 
doi:10.1016/j.neucom.2011.12.050 fatcat:3pevh3dtzbbvhi6av5sjatcdoi

Real-time acquisition of high quality face sequences from an active pan-tilt-zoom camera

Mohammad A. Haque, Kamal Nasrollahi, Thomas B. Moeslund
2013 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance  
in a scene and employs a face quality assessment method to log the best quality faces from the captured frames.  ...  Traditional still camera-based facial image acquisition systems in surveillance applications produce low quality face images.  ...  An appearance-based approach to real-time face detection from video frames was proposed in [8] which merely work in real-time in VGA resolution images.  ... 
doi:10.1109/avss.2013.6636680 dblp:conf/avss/HaqueNM13 fatcat:rwsmkxeo4rak3jbsyvdet3j26i

A survey on IQA [article]

Lanjiang Wang
2022 arXiv   pre-print
Image quality assessment(IQA) is of increasing importance for image-based applications. Its purpose is to establish a model that can replace humans for accurately evaluating image quality.  ...  Due to the vigorous development of deep learning and the widespread attention of researchers, several non-reference image quality assessment methods based on deep learning have been proposed in recent  ...  To address the problem of assessing image quality without a distortion prior, researchers have used natural statistics (NSS)-based methods to extract reliable features which assume that natural images  ... 
arXiv:2109.00347v2 fatcat:nbyw6dmyb5a75aecxfbbgh3rem

Nonparametric Quality Assessment of Natural Images

Redzuan Abdul Manap, Ling Shao, Alejandro F. Frangi
2016 IEEE Multimedia  
Following a feature extraction stage in which spatial domain statistics are utilized as our features, a two-stage non-parametric NR-IQA framework is proposed.  ...  In this paper, we attempt to explore an alternative way to perform the no-reference image quality assessment (NR-IQA) task.  ...  The computation time required by our algorithm to estimate the image quality in a typical 512×768 test image is dominated by three major processes: feature extraction, I2C distance computation, and quality  ... 
doi:10.1109/mmul.2016.2 fatcat:r6ceeockarae3ezkttpdfgzyf4
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