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SalyPath360: Saliency and scanpath prediction framework for omnidirectional images

Kerkouri Mohamed Amine, Tliba Marouane, Chetouani Aladine, Sayeh Mohamed
2022 IS&T International Symposium on Electronic Imaging Science and Technology  
To take advantage of the scanpath prediction, an adaptive joint probability distribution model is then applied to construct the final unbiased saliency map by leveraging the encoder decoder-based saliency  ...  The framework implements a fully encoder-decoder convolutional neural network augmented by an attention module to generate representative saliency maps.  ...  With the high performance of deep neural networks in imaging, various saliency prediction models were introduced.  ... 
doi:10.2352/ei.2022.34.11.hvei-168 fatcat:6txgk4v5yrbnvjvqlw3wng2s4e

Table of Contents

2020 IEEE transactions on multimedia  
Zhao 2307 Subjective and Objective Quality Assessment and User Experience QoE-Aware Multi-Source Video Streaming in Content Centric Networks . . . . . . M. N. Sadat, R. Dai, L. Kong, and J.  ...  Kaufman 2262 A Unified Deep Metric Representation for Mesh Saliency Detection and Non-Rigid Shape Matching . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tmm.2020.3014981 fatcat:qmfqehwqercnzhbmbtukbd3ivy

Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

Sebastian Bosse, Dominique Maniry, Klaus-Robert Muller, Thomas Wiegand, Wojciech Samek
2018 IEEE Transactions on Image Processing  
We present a deep neural network-based approach to image quality assessment (IQA).  ...  Unique features of the proposed architecture are that: 1) with slight adaptations it can be used in a no-reference (NR) as well as in a full-reference (FR) IQA setting and 2) it allows for joint learning  ...  DEEP NEURAL NETWORKS FOR IMAGE QUALITY ASSESSMENT A. Neural Network-Based FR IQA Siamese networks have been used to learn similarity relations between two inputs.  ... 
doi:10.1109/tip.2017.2760518 pmid:29028191 fatcat:csr3qjozbzca7hly7nlchhdv5u

Visual saliency guided perceptual adaptive quantization based on HEVC intra-coding for planetary images

Yuqi Dai, Changbin Xue, Li Zhou, Zhaoqing Pan
2022 PLoS ONE  
Several quantitative performance metrics that efficiently correlate with human perception are used for evaluating image quality.  ...  A modified model based on the residual network is exploited to extract the saliency map for a given image automatically.  ...  PLOS ONE Peak Signal-to-Noise Ratio (PSNR) is a commonly used objective visual quality assessment metric.  ... 
doi:10.1371/journal.pone.0263729 pmid:35139132 pmcid:PMC8827453 fatcat:af4mpsjcgfe6phifynqobsyyei

Perceptual image quality assessment: a survey

Guangtao Zhai, Xiongkuo Min
2020 Science China Information Sciences  
Third, the performances of the state-of-the-art quality measures for visual signals are compared with an introduction of the evaluation protocols.  ...  Keywords visual quality assessment, human visual system, subjective quality assessment, objective quality assessment Citation Zhai G T, Min X K. Perceptual image quality assessment: a survey.  ...  [90] proposed a deep similarity index (DeepSim) with deep neural network (DNN).  ... 
doi:10.1007/s11432-019-2757-1 fatcat:kizmju2lbbbcxjb42y6stct5sq

On the practical applications of objective quality metrics for stereoscopic 3D imaging

Sria Biswas, Balasubramanyam Appina, Roopak R. Tamboli, Peter Andras Kara, Aniko Simon, Michael E. Zelinski, Tarek M. Taha, Jonathan Howe
2021 Applications of Machine Learning 2021  
Objective quality metrics provide cost-efficient methods for quality evaluation, as they are practically algorithms, models, that avoid the necessity of subjective assessment, which is a precise but resource-consuming  ...  Such metrics have already been developed for every single emerging technology where quality, in general, is relevant.  ...  assessment metrics.  ... 
doi:10.1117/12.2597649 fatcat:dazxc7pyajew5mswykibq6lr5e

Table of contents

2021 IEEE transactions on circuits and systems for video technology (Print)  
Zhang 2247 Action Quality Assessment Using Siamese Network-Based Deep Metric Learning ........................................ ..........................................................................  ...  Image/Video Analysis and Computer Vision 2386 A Robust Quality Enhancement Method Based on Joint Spatial-Temporal Priors for Video Coding .................... ..........................................  ... 
doi:10.1109/tcsvt.2021.3080805 fatcat:bmy7voimtzdjbn5qpk4o2xoseu

A Novel Just-Noticeable-Difference-based Saliency-Channel Attention Residual Network for Full-Reference Image Quality Predictions [article]

Soomin Seo, Sehwan Ki, Munchurl Kim
2020 arXiv   pre-print
Recently, due to the strength of deep convolutional neural networks (CNN), many CNN-based image quality assessment (IQA) models have been studied.  ...  However, in this paper, we propose a novel saliency-channel attention residual network based on the just-noticeable-difference (JND) concept for full-reference image quality assessments (FR-IQA).  ...  Additionally, we apply a joint optimization framework that considers both the predictions of the quality scores and their rank orders for deep-learning-based IQA.  ... 
arXiv:1902.05316v4 fatcat:c3tdf6nmrnc7jljohtzw2gkd6u

Introduction to the Special Section on Deep Learning in Video Enhancement and Evaluation: The New Frontier

Zhenzhong Chen, Huchuan Lu, Junwei Han
2020 IEEE transactions on circuits and systems for video technology (Print)  
The proposed method achieves better performance than both the generalpurpose quality metrics and image blur metrics on realistic blur image databases.  ...  ., presents a de-raining quality assessment database (IVIPC-DQA) which contains 206 authentic rain images with their de-rained versions produced by six single-image rain removal algorithms, and develops  ...  The article also develops convolutional neural networks for objective PEA recognition. The proposed PEA-based VQM model shows comparable performance with typical video quality metrics.  ... 
doi:10.1109/tcsvt.2020.3023571 fatcat:csbazoxofbdgho3of2k7n4y4m4

2020 Index IEEE Transactions on Multimedia Vol. 22

2020 IEEE transactions on multimedia  
., +, TMM Aug. 2020 1969-1984 Deep Multimodality Learning for UAV Video Aesthetic Quality Assessment.  ...  ., +, TMM Dec. 2020 3128-3138 A Unified Deep Metric Representation for Mesh Saliency Detection and Non-Rigid Shape Matching.  ...  Image watermarking Blind Watermarking for 3-D Printed Objects by Locally Modifying Layer Thickness. 2780 -2791 Low-Light Image Enhancement With Semi-Decoupled Decomposition.  ... 
doi:10.1109/tmm.2020.3047236 fatcat:llha6qbaandfvkhrzpe5gek6mq

DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision

Duc Tam Nguyen, Maximilian Dax, Chaithanya Kumar Mummadi, Thi-Phuong-Nhung Ngo, Thi Hoai Phuong Nguyen, Zhongyu Lou, Thomas Brox
2019 Neural Information Processing Systems  
Deep neural network (DNN) based salient object detection in images based on highquality labels is expensive.  ...  Each handcrafted method is substituted by a deep network that learns to generate the pseudo-labels.  ...  The joint optimization, along with the noise module, enables the learning of the saliency-prediction network to generate the pseudo-noise-free outputs.  ... 
dblp:conf/nips/NguyenDMNNLB19 fatcat:atmmzgnwqjeklprp3tqzaqzbcu

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
for Silent Temporal Constraint Background-Aware Correlation Filter With Saliency Assessment.  ...  Al-Halah, Z., +, TMM 2021 4143-4157 Motion Blur Removal With Quality Assessment Guidance.  ...  ., Low-Rank Pairwise Align- ment Bilinear Network For Few-Shot Fine-Grained Image Classification; TMM 2021 1666-1680 Huang, H., see 1855 -1867 Huang, H., see Jiang, X., TMM 2021 2602-2613 Huang, J.,  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

Task Oriented Video Coding: A Survey [article]

Daniel Wood
2022 arXiv   pre-print
With the tremendous advance and maturation of deep neural networks in solving computer vision tasks, more and more videos are directly analyzed by deep neural networks without humans' involvement.  ...  Video coding technology has been continuously improved for higher compression ratio with higher resolution.  ...  Specifically, we employ a conditional deep generation network to reconstruct video frames with the guidance of learned motion pattern.  ... 
arXiv:2208.07313v2 fatcat:vewazgweuzc3nkqe67unqlvgu4

Machine Learning for Multimedia Communications

Nikolaos Thomos, Thomas Maugey, Laura Toni
2022 Sensors  
These models, however, were trained mainly with only a single saliency metric.  ...  The joint design is based on recursive neural networks.  ... 
doi:10.3390/s22030819 pmid:35161566 pmcid:PMC8840624 fatcat:nmz7s6ei3bdddarbt2bqhf6beu

A Comparative Study of DNN-Based Models for Blind Image Quality Prediction

Xiaohan Yang, Fan Li, Hantao Liu
2019 2019 IEEE International Conference on Image Processing (ICIP)  
Index Termsdeep learning, blind image quality assessment (BIQA), deep neural networks (DNN)  ...  Recently, deep learning methods have gained substantial attention in the research community and have proven useful for blind image quality assessment (BIQA).  ...  However, DNN methods do not use any prior information of reference for image quality assessment. We compared with extracting deep features methods from DNN models.  ... 
doi:10.1109/icip.2019.8804268 dblp:conf/icip/Yang0L19 fatcat:rw6uoylrtrefdbwlqccarqph5e
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