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A Nash-game approach to joint image restoration and segmentation

Moez Kallel, Rajae Aboulaich, Abderrahmane Habbal, Maher Moakher
2014 Applied Mathematical Modelling  
We propose a game theory approach to simultaneously restore and segment noisy images.  ...  We define two players: one is restoration, with the image intensity as strategy, and the other is segmentation with contours as strategy.  ...  In Section 2 we formulate the joint restoration and segmentation problem as a game problem with two players.  ... 
doi:10.1016/j.apm.2013.11.034 fatcat:s3nmmkgk2rh6xedhdqu27pioxy

2019 Index IEEE Transactions on Industrial Informatics Vol. 15

2019 IEEE Transactions on Industrial Informatics  
Lee, B., +, TII Nov. 2019 6155-6161 Image restoration Restoring Aspect Ratio Distortion of Natural Images With Convolutional Neural Network.  ...  Controlling Fuzzy Dynamical Systems: A Cooperative Game Approach.  ... 
doi:10.1109/tii.2020.2968165 fatcat:utk3ywxc6zgbdbfsys5f4otv7u

Differentiated Statistical QoS Guarantees for Real-Time CBR Services in Broadband Wireless Access Networks

Hong Zhou, Zhongwei Zhang
2010 2010 International Conference on Computational Intelligence and Software Engineering  
texture synthesis Hao Guo 30344 Ant Colony Optimization and Statistical Estimation Approach to Image Edge Detection Jian Zhang 30362 A High Performance Dithering Method for Gray and Color Image  ...  The lattice formulation of signal detection problems has led to some of the most efficient detectors known.  ... 
doi:10.1109/wicom.2010.5601439 fatcat:kaereulmjzhbdpknj727a4vuri

High-performance server systems and the next generation of online games

B. D'Amora, A. Nanda, K. Magerlein, A. Binstock, B. Yee
2006 IBM Systems Journal  
of a game in which multiple human and robotic characters interact with static and dynamic objects in a virtual environment.  ...  Computationally intensive simulation may adversely affect performance and result in a situation in which little processing capacity is left for other aspects of the game.  ...  D'Amora is currently focusing on the design and programmability of Cell Broadband Enginee (BE) processor-based systems targeted at video game development and digital entertainment.  ... 
doi:10.1147/sj.451.0103 fatcat:pgwql5rq3vfzfpv5w4inwfaxda

Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning

Longteng Guo, Jing Liu, Xinxin Zhu, Xingjian He, Jie Jiang, Hanqing Lu
2020 Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence  
CMAL formulates NAIC as a multi-agent reinforcement learning system where positions in the target sequence are viewed as agents that learn to cooperatively maximize a sentence-level reward.  ...  In this paper, we propose a Non-Autoregressive Image Captioning (NAIC) model with a novel training paradigm: Counterfactuals-critical Multi-Agent Learning (CMAL).  ...  PKJ2018-Y46) and Shanghai Jiaotong University Translational Medicine Cross Foundation (ZH2018ZDA25). Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence  ... 
doi:10.24963/ijcai.2020/106 dblp:conf/ijcai/ChenLXBWTS20 fatcat:5fz3g23qfbha7p4el5helinbku

Artificial Intelligence for the Metaverse: A Survey [article]

Thien Huynh-The and Quoc-Viet Pham and Xuan-Qui Pham and Thanh Thi Nguyen and Zhu Han and Dong-Seong Kim
2022 arXiv   pre-print
Subsequently, several AI-aided applications, such as healthcare, manufacturing, smart cities, and gaming, are studied to be deployed in the virtual worlds.  ...  Many virtual environments with thousands of services and applications, from social networks to virtual gaming worlds, have been developed with immersive experience and digital transformation, but most  ...  Some other advanced image restoration works exploited CNN architectures to reduce image compression artifacts, restore clean images from downscaled and blurred images, and reconstruct missing details  ... 
arXiv:2202.10336v1 fatcat:35isd745dbaqfnpzthnmbaosue

Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision [article]

Risheng Liu and Long Ma and Tengyu Ma and Xin Fan and Zhongxuan Luo
2021 arXiv   pre-print
Last but not least, we demonstrate how to apply RUAS for both low- and high-level LLV applications (e.g., enhancement, detection and segmentation).  ...  Furthermore, we construct a differentiable strategy to cooperatively search specific scene and task architectures for RUAS.  ...  ACKNOWLEDGMENTS This work is partially supported by the National Key R&D Program of China (2020YFB1313503), the National Natural Science Foundation of China (No. 61922019), and the Fundamental Research  ... 
arXiv:2112.04719v1 fatcat:h2nxuzalvngenerod7vxgacu6m

Video Caching, Analytics and Delivery at the Wireless Edge: A Survey and Future Directions

Behrouz Jedari, Gopika Premsankar, Gazi Illahi, Mario Di Francesco, Abbas Mehrabi, Antti Yla-Jaaski
2020 IEEE Communications Surveys and Tutorials  
., live content sharing, gaming, and augmented reality) have leveraged edge-C3 in diverse scenarios involving video streaming in both the downlink and the uplink.  ...  applications for video edge-C3; video edge computing and analytics in uplink scenarios (e.g., architectures, analytics, and applications); and video edge caching, computing and communication methods in  ...  The problem is formulated as a joint video caching and scheduling optimization, for which a two-stage rounding-based algorithm is proposed.  ... 
doi:10.1109/comst.2020.3035427 fatcat:ialgflav5nao3fwptbmyvtfhpa

Machine Learning in the Air [article]

Deniz Gunduz, Paul de Kerret, Nicholas D. Sidiropoulos, David Gesbert, Chandra Murthy, Mihaela van der Schaar
2019 arXiv   pre-print
Thanks to the recent advances in processing speed and data acquisition and storage, machine learning (ML) is penetrating every facet of our lives, and transforming research in many areas in a fundamental  ...  We also highlight the complementary problem of designing physical layer techniques to enable distributed ML at the wireless network edge, which further emphasizes the need to understand and connect ML  ...  The authors use convolutional neural networks (CNN) based image super-resolution and image restoration techniques, implemented using a three-layer and a 20 layer CNN, to estimate the channel, with the  ... 
arXiv:1904.12385v1 fatcat:chdscfuwbfbrja5yfppcf6w72q

2021 Index IEEE Internet of Things Journal Vol. 8

2021 IEEE Internet of Things Journal  
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  Note that the item title is found only under the primary entry in the Author Index.  ...  ., +, JIoT April 15, 2021 6995-7008 Image restoration DeepEDN: A Deep-Learning-Based Image Encryption and Decryption Network for Internet of Medical Things.  ... 
doi:10.1109/jiot.2022.3141840 fatcat:42a2qzt4jnbwxihxp6rzosha3y

cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks [article]

Bo Jiang, Zitai Zhou, Xiao Wang, Jin Tang, Bin Luo
2020 arXiv   pre-print
Image salient object detection (SOD) is an active research topic in computer vision and multimedia area.  ...  To further improve the detection results, the attention mechanism and edge detection module are also incorporated into cmSalGAN.  ...  It aims at highlighting salient object regions from the given image and has been widely used in object-level applications in different fields, such as image understanding, object detection, and tracking  ... 
arXiv:1912.10280v2 fatcat:zaxsm6o6mfbv5oslfg5wjwxywy

2019 Index IEEE Transactions on Intelligent Transportation Systems Vol. 20

2019 IEEE transactions on intelligent transportation systems (Print)  
., and Ma, J  ...  ., +, TITS May 2019 1964-1977 Image restoration Objective Quality Evaluation of Dehazed Images.  ...  Cai, J., Content in Motion: An Edge Computing Based Relay Scheme for Content Dissemination in Urban Vehicular Networks; TITS Aug. 2019 3115-3128 Hui, Y., Su, Z., Luan, T.H., and Cai, J., A Game Theoretic  ... 
doi:10.1109/tits.2020.2966388 fatcat:xkvww7uabzhlzgfz3yiecyb75y

A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications

Shuo Wang, Xing Zhang, Yan Zhang, Lin Wang, Juwo YANG, Wenbo Wang
2017 IEEE Access  
In this survey, we make an exhaustive review on the state-of-the-art research efforts on mobile edge networks.  ...  Therefore, new architectures which bring network functions and contents to the network edge are proposed, i.e., mobile edge computing and caching.  ...  ACKNOWLEDGMENT The authors would like to thank the editor and the anonymous reviewers for their constructive comments and suggestions, which improve the quality of this paper.  ... 
doi:10.1109/access.2017.2685434 fatcat:omhcphk735czrnmjnwkoory6hq

Manipulation in Human Environments

Aaron Edsinger, Charles Kemp
2006 2006 6th IEEE-RAS International Conference on Humanoid Robots  
Many tasks can be achieved through the detection and control of these sparse perceptual features. And finally, a robot is more than a passive observer of the world.  ...  in their homes and workplaces.  ...  Find the edges in consecutive images I 1 and I 2 using a Canny edge detector (Canny, 1986) . 2.  ... 
doi:10.1109/ichr.2006.321370 dblp:conf/humanoids/EdsingerK06 fatcat:i5tunfqrrfdenh6k2vos5mhsby

Scanning the Issue

Azim Eskandarian
2020 IEEE transactions on intelligent transportation systems (Print)  
Environmental and behavioral factors impacting driveability in autonomous driving are studied.  ...  and novel drivability metrics to enhance robustness of autonomous cars in adverse environments.  ...  A game-theoretic model is formulated to evaluate the optimal transmit power for uplink cooperative vehicular networks. The simulation results validate the analytical derivations.  ... 
doi:10.1109/tits.2020.3008809 fatcat:etol5qoilvdnbj6gtjxk3gheaa
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