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Universal Approximation of Linear Time-Invariant (LTI) Systems Through RNNs: Power of Randomness in Reservoir Computing IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-04-23 Shashank Jere, Lizhong Zheng, Karim Said, Lingjia Liu
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Beam Alignment in Multipath Environments for Integrated Sensing and Communication Using Bandit Learning IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-04-22 Akanksha Sneh, Shobha Sundar Ram, Sumit J Darak, Aakanksha Tewari
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Modeling and Analysis of Near-Field ISAC IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-04-12 Boqun Zhao, Chongjun Ouyang, Yuanwei Liu, Xingqi Zhang, H. Vincent Poor
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Complex Neural Network based Joint AoA and AoD Estimation for Bistatic ISAC IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-04-10 Salmane Naoumi, Ahmad Bazzi, Roberto Bomfin, Marwa Chafii
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Model-Based Online Learning For Active ISAC Waveform Optimization IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-04-08 Petteri Pulkkinen, Visa Koivunen
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PaLmTac: A Vision-based Tactile Sensor Leveraging Distributed-Modality Design and Modal-matching Recognition for Soft Hand Perception IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-04-08 Shixin Zhang, Yiyong Yang, Jianhua Shan, Fuchun Sun, Hongxiang Xue, Bin Fang
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Real-time Large-motion Deblurring for Gimbal-based imaging systems IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-04-08 Nisha Varghese, A. N. Rajagopalan, Zahir Ahmed Ansari
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Adaptive Top-K in SGD for Communication-Efficient Distributed Learning in Multi-Robot Collaboration IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-04-05 Mengzhe Ruan, Guangfeng Yan, Yuanzhang Xiao, Linqi Song, Weitao Xu
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Interpretable Deep Image Classification using Rationally Inattentive Utility Maximization IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-04-03 Kunal Pattanayak, Vikram Krishnamurthy, Adit Jain
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A Language Model-based Fine-Grained Address Resolution Framework in UAV Delivery System IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-04-03 Sichun Luo, Yuxuan Yao, Haohan Zhao, Linqi Song
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Transferability of Covariance Neural Networks IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-03-28 Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
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Antenna Selection With Beam Squint Compensation for Integrated Sensing and Communications IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-03-20 Ahmet M. Elbir, Asmaa Abdallah, Abdulkadir Celik, Ahmed M. Eltawil
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Multi-Tier Caching for Statistical-QoS Driven Digital Twins Over mURLLC-Based Next-Generation Mobile Networks Using FBC IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-03-18 Xi Zhang, Qixuan Zhu, H. Vincent Poor
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Energy-Efficient Connectivity-Aware Learning Over Time-Varying D2D Networks IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-03-11 Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Mung Chiang, Christopher G. Brinton
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How does promoting the minority fraction affect generalization? A theoretical study of one-hidden-layer neural network on group imbalance IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-03-07 Hongkang Li, Shuai Zhang, Yihua Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
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Cooperative Robotics Visible Light Positioning: An Intelligent Compressed Sensing and GAN-Enabled Framework IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-02-22 Sicong Liu, Xianyao Wang, Jian Song, Zhu Han
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FairTL: A Transfer Learning Approach for Bias Mitigation in Deep Generative Models IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-02-14 Christopher T.H.Teo, Milad Abdollahzadeh, Ngai-Man Cheung
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ENN: A Neural Network with DCT Adaptive Activation Functions IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-02-01 Marc Martinez-Gost, Ana Pérez-Neira, Miguel Ángel Lagunas
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Data Augmentation for Predictive Digital Twin Channel: Learning Multi-Domain Correlations by Convolutional TimeGAN IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-01-31 Guangming Liang, Jie Hu, Kun Yang, Siyao Song, Tingcai Liu, Ning Xie, Yijun Yu
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Distributed Digital Twin Migration in Multi-tier Computing Systems IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-01-26 Zhixiong Chen, Wenqiang Yi, Arumugam Nallanathan, Jonathon Chambers
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Integration of 6 G Signal Processing, Communication, and Computing Based on Information Timeliness-Aware Digital Twin IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-01-25 Haijun Liao, Yiling Shu, Jiaxuan Lu, Zhenyu Zhou, Muhammad Tariq, Shahid Mumtaz
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Fairness-Aware Optimal Graph Filter Design IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-01-10 O. Deniz Kose, Gonzalo Mateos, Yanning Shen
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2023 Index IEEE Journal of Selected Topics in Signal Processing Vol. 17 IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-01-04
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IEEE Signal Processing Society Information IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-01-01
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IEEE Journal of Selected Topics in Signal Processing Publication Information IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-01-01
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Editorial Advancements in Learning-Based Quality Prediction for Advanced Visual Media IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2024-01-01 Sebastian Bosse
In this special issue of the IEEE Journal of Selected Topics in Signal Processing , we delve into the burgeoning domain of Learning-Based Quality Prediction for Advanced Visual Media. The rapid proliferation of advanced visual media modalities, such as high dynamic range and mixed reality, has not only enhanced interactive and immersive user experiences but has also posed significant challenges in
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Guest Editorial Signal Processing for XR Communications and Systems IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-11-15 Yongpeng Wu, Erik G. Larsson, Jing Li, Angel Lozano, Luce Morin, Mai Xu, Chengshan Xiao, Wei Yang
Future wireless networks are expected to support ubiquitous extended reality (XR) with human-to-human communications. XR is a term that refers to all real-and-virtual combined environments and human-machine interactions generated by computer technology and wearables, where the ‘X’ represents any current or future spatial computing technology. XR includes augmented reality (AR), mixed reality (MR),
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StableFace: Analyzing and Improving Motion Stability for Talking Face Generation IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-11-16 Jun Ling, Xu Tan, Liyang Chen, Runnan Li, Yuchao Zhang, Sheng Zhao, Li Song
While previous methods for speech-driven talking face generation have shown significant advances in improving the visual and lip-sync quality of the synthesized videos, they have paid less attention to lip motion jitters which can substantially undermine the perceived quality of talking face videos. What causes motion jitters, and how to mitigate the problem? In this article, we conduct systematic
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VR+HD: Video Semantic Reconstruction From Spatio-Temporal Scene Graphs IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-10-11 Chenxing Li, Yiping Duan, Qiyuan Du, Shiqi Sun, Xin Deng, Xiaoming Tao
With the development of computer science and deep learning networks, AI generation technology is becoming increasingly mature. Video has become one of the most important information carriers in our daily life because of their large amount of data and information. However, because of their large amount of information and complex semantics, video generation models, especially High Definition (HD) video
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Index-Modulated Metasurface Transceiver Design Using Reconfigurable Intelligent Surfaces for 6G Wireless Networks IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-10-06 John A. Hodge, Kumar Vijay Mishra, Brian M. Sadler, Amir I. Zaghloul
Higher spectral and energy efficiencies are the envisioned defining characteristics of high data-rate sixth-generation (6G) wireless networks. One of the enabling technologies to meet these requirements is index modulation (IM), which transmits information through permutations of indices of spatial, frequency, or temporal media. In this paper, we propose novel electromagnetics-compliant designs of
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DeepAdaIn-Net: Deep Adaptive Device-Edge Collaborative Inference for Augmented Reality IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-09-22 Li Wang, Xin Wu, Yi Zhang, Xinyun Zhang, Lianming Xu, Zhihua Wu, Aiguo Fei
The object inference for augmented reality (AR) requires a precise object localization within user's physical environment and the adaptability to dynamic communication conditions. Deep learning (DL) is advantageous in capturing highly-nonlinear features of diverse data sources drawn from complex objects. However, the existing DL techniques may have disfluency or instability issues when deployed on
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Adaptive Semantic-Bit Communication for Extended Reality Interactions IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-08-31 Chaowei Wang, Yehao Li, Feifei Gao, Danhao Deng, Jisong Xu, Yuhan Liu, Weidong Wang
Semantic communication is a novel paradigm that conveys intention or goal from the source to the destination. It can greatly improve communication efficiency, especially for the applications that require extremely low latency and high reliability, such as augmented reality (AR), virtual reality (VR) or extended reality (XR). An adaptive semantic-bit communication structure based on resource efficiency
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Orientation and Location Tracking of XR Devices: 5G Carrier Phase-Based Methods IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-08-28 Jukka Talvitie, Mikko Säily, Mikko Valkama
Accurate knowledge of the three-dimensional (3D) orientations and 3D locations of the user devices, such as wearable glasses, is of paramount importance in different extended reality (XR) use cases and applications. In this article, we address the corresponding six degrees-of-freedom (6DoF) tracking challenge of 5G-empowered XR devices. We describe a new uplink (UL) carrier phase measurements based
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Integrated Sensing and Communication for Wireless Extended Reality (XR) With Reconfigurable Intelligent Surface IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-08-14 Teng Ma, Yue Xiao, Xia Lei, Ming Xiao
Future wireless networks will witness ubiquitous human-machine interactions, where extended reality (XR) is expected to be a key scenario in next-generation mobile systems. In this article, we examine the integrated sensing and communication (ISAC) framework in XR, where a reconfigurable intelligent surface (RIS) may assist user (UE) positioning and communication. Specifically, a practical positioning
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Secure Communication Guarantees for Diverse Extended-Reality Applications: A Unified Statistical Security Model IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-08-10 Yuquan Xiao, Qinghe Du, Wenchi Cheng, Nan Lu
Privacy and security assurance over wireless transmissions is one of critical issues for future extended reality (XR) communication systems expected to be supported by the sixth generation of mobile communications networks (6G). In light of the strong anti-eavesdropping capability, physical layer security (PLS) techniques have been recognized as a competitive candidate to provide secure transmissions
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Improved Nonlinear Transform Source-Channel Coding to Catalyze Semantic Communications IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-08-10 Sixian Wang, Jincheng Dai, Xiaoqi Qin, Zhongwei Si, Kai Niu, Ping Zhang
Recent deep learning methods have led to increased interest in solving high-efficiency end-to-end transmission problems. These methods, we call nonlinear transform source-channel coding (NTSCC) , extract the semantic latent features of source signal, and learn entropy model to guide the joint source-channel coding with variable rate to transmit latent features over wireless channels. In this article
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Semantic Communications With Variable-Length Coding for Extended Reality IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-08-01 Bowen Zhang, Zhijin Qin, Geoffrey Ye Li
Wireless extended reality (XR) has attracted wide attentions as a promising technology to improve users' mobility and quality of experience. However, the ultra-high data rate requirement of wireless XR has hindered its development for many years. To overcome this challenge, we develop a semantic communication framework, where semantically-unimportant information is highly-compressed or discarded in
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A Quality-of-Experience Database for Adaptive Omnidirectional Video Streaming IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-08-01 Xuelin Liu, Jiebin Yan, Zheng Wan, Yuming Fang, Zhou Wang
Recent advances in virtual reality (VR) technologies and devices have enabled new forms of media content, such as omnidirectional video (ODV) that attracts increasing attention of both academic and industrial communities. Omnidirectional video, which is also called $360^\circ$ video, represents panoramic spherical video that can give users an immersive viewing experience. Compared with traditional
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Covert Wireless Communications for Augmented Reality Systems With Dual Cooperative UAVs IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-07-26 Guo Yang, Yuwen Qian, Ke Ren, Zhen Mei, Feng Shu, Xiangwei Zhou, Wen Wu
Unmanned aerial vehicle (UAV) aided augmented reality (AR) has developed rapidly in recent years and has become a promising technology in disaster rescue, transportation, agriculture, and environmental monitoring. However, the information leakage is challenging the usage of UAV-aided AR systems with wireless communications. In this article, a dual UAVs assisted covert communication system (CCS) is
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Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-07-26 Zhen Gao, Shicong Liu, Yu Su, Zhongxiang Li, Dezhi Zheng
This article focuses on advancing outdoor wireless systems to better support ubiquitous extended reality (XR) applications, and close the gap with current indoor wireless transmission capabilities. We propose a hybrid knowledge-data driven method for channel semantic acquisition and multi-user beamforming in cell-free massive multiple-input multiple-output (MIMO) systems. Specifically, we firstly propose
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Secure Hybrid Analog and Digital Beamforming for mmWave XR Communications With Mixed-DAC IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-07-24 Di Wu, Tong Shen, Feng Shu, Yuanyuan Wu, Lingling Zhu, Siling Feng, Mengxing Huang, Jiangzhou Wang
To achieve a balance between performance and implementation complexity in extended reality (XR)-aided millimeter wave (mmWave) communication, secure hybrid digital and analog (HDA) beamforming with mixed digital-to-analog converters (DACs) is established by partially replacing costly full-resolution DACs with some cheap low-resolution DACs. We focus on secure HDA beamforming for such a system. Furthermore
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Editorial Introduction to the Special Issue on Biometrics at a Distance in the Deep Learning Era IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-07-13 Manuel J. Marín-Jiménez, Shiqi Yu, Yasushi Makihara, Vishal M. Patel, Maneet Singh, Maria de Marsico
A total of 36 papers were submitted to this SI, where 14 papers were accepted after a rigorous review process. Three papers in the final collection aim at improving the performance of people re-identification systems, including the use of visible and infrared images, proposing a new retrieval and verification loss function, and suggesting the fusion of visual appearance and soft biometrics. Five works
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Utility-Driven Joint Caching and Bitrate Allocation for Real-Time Immersive Videos IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-07-14 Jinxi Li, Yutong Xu, Yang Cao, Jiaxin Zhu, Desheng Wang
Real-time immersive video demands high network bandwidth and low transmission delay. Limited communication resources make it time-consuming to deliver immersive videos in cloud service scenarios. To overcome this, we design a utility-driven JOint Caching and Bitrate allocation (JOCB) algorithm for the real-time immersive video to better utilize network and caching resources through the Mobile Edge
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Generative AI-Empowered Simulation for Autonomous Driving in Vehicular Mixed Reality Metaverses IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-07-10 Minrui Xu, Dusit Niyato, Junlong Chen, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, Zhu Han
In the vehicular mixed reality (MR) Metaverse, the discrepancy between physical and virtual entities can be overcome by fusing the physical and virtual environments with multi-dimensional communications in autonomous driving systems. Assisted by digital twin (DT) technologies, connected autonomous vehicles (AVs), roadside units (RSUs), and virtual simulators can maintain the vehicular MR Metaverse
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Seg-DGDNet: Segmentation Based Disguise Guided Dropout Network for Low Resolution Face Recognition IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-06-26 Muskan Dosi, Chiranjeev Chiranjeev, Shivang Agarwal, Jyoti Chaudhary, Sunny Manchanda, Kavita Balutia, Kaushik Bhagwatkar, Mayank Vatsa, Richa Singh
Face recognition models often encounter challenges while recognizing partially occluded faces. Disguise can be manifested intentionally to impersonate someone or unintentionally when the subject wears artifacts such as sunglasses, masks, hats, and caps. To identify a subject accurately, it is essential to discard the occluded regions of the subject's face and use the features extracted from the visible
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Editorial Introduction to the Special Issue on Recent Advances in Wideband Signal Processing for Classical and Quantum Synthetic Apertures IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-06-14 Kumar Vijay Mishra, Peter Vouras, Boulat A. Bash, Maria Sabrina Greco
A key aphorism pertaining to the nature of instrumentation comes from (although the attribution is sometimes disputed) the Italian scientist Galileo Galilei: “ Measure what can be measured, and make measurable what cannot be measured .” Clearly, making things measurable is akin to choosing appropriate methods to measure them. From the perspective of signal processing, such techniques involve designing
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Age of Incorrect Information in Semantic Communications for NOMA Aided XR Applications IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-06-05 Jianrui Chen, Jingjing Wang, Chunxiao Jiang, Jiaxing Wang
As an evolving successor to the mobile Internet, the extended reality (XR) devices can generate a fully digital immersive environment similar to the real world, integrating integrating virtual and real-world elements. However, in addition to the difficulties encountered in traditional communications, there emerge a range of new challenges such as ultra-massive access, real-time synchronization as well
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PVBLiF: A Pseudo Video-Based Blind Quality Assessment Metric for Light Field Image IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-05-22 Zhengyu Zhang, Shishun Tian, Wenbin Zou, Luce Morin, Lu Zhang
Going beyond traditional 2D imaging is not only an emerging trend of imaging technology, but also the key to a more immersive user experience. Light Field Image (LFI) is a typical high-dimensional imaging format, and the quality evaluation of which is very challenging but necessary. In this article, we propose a novel Pseudo Video-based Blind quality assessment metric for Light Field image (PVBLiF)
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User Dynamics-Aware Edge Caching and Computing for Mobile Virtual Reality IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-05-16 Mushu Li, Jie Gao, Conghao Zhou, Xuemin Shen, Weihua Zhuang
In this article, we present a novel content caching and delivery approach for mobile virtual reality (VR) video streaming. The proposed approach aims to maximize VR video streaming performance, i.e., minimizing video frame missing rate, by proactively caching popular VR video chunks and adaptively scheduling computing resources at an edge server based on user and network dynamics. First, we design
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Blind Image Quality Assessment via Deep Response Feature Decomposition and Aggregation IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-05-11 Hui Wang, Guangcheng Wang, Wenjun Xia, Ziyuan Yang, Hui Yu, Leyuan Fang, Yi Zhang
Image quality is related to image content and distortion information. Most learning-based image quality assessment (IQA) methods extract quality-oriented features with auxiliary tasks like detecting the distortion type and level. However, the perceptual quality degradation caused by the same distortion type and level varies substantially for different content in an image. To deal with this problem
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Measuring the Consistency and Diversity of 3D Face Generation IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-05-08 Kunlin Liu, Wenbo Zhou, Zhenyu Zhang, Yanhao Ge, Hao Tang, Weiming Zhang, Nenghai Yu
3D-aware GANs have shown their impressive power on 3D controlling for synthesized portraits. While the plausible facial reality is achieved, the inherent 3D properties of the generated results have actually not been well analyzed. One of the reasons is that the wildly-used metrics, such as Inception Score (IS) or Fréchet Inception Distance (FID), focus more on the perceptual features rather than explicit
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Learning Temporal Attention Based Keypoint-Guided Embedding for Gait Recognition IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-05-01 Hung-Min Hsu, Yizhou Wang, Cheng-Yen Yang, Jenq-Neng Hwang, Hoang Le Uyen Thuc, Kwang-Ju Kim
Gait recognition is one of technology for biometrics at a distance that can be used to identify a human through walking postures and body shape. In the field of information forensics and security, gait recognition is exploited for crime prevention, forensic identification, and social security. However, the existing gait recognition methods usually consider the appearance, posture and temporal information
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Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-04-26 Wei Sun, Xiongkuo Min, Danyang Tu, Siwei Ma, Guangtao Zhai
Image quality assessment (IQA) is very important for both end-users and service providers since a high-quality image can significantly improve the user's quality of experience (QoE) and also benefit lots of computer vision algorithms. Most existing blind image quality assessment (BIQA) models were developed for synthetically distorted images, however, they perform poorly on in-the-wild images, which
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Multi-Task Explainable Quality Networks for Large-Scale Forensic Facial Recognition IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-04-14 Andrea Macarulla Rodriguez, Luis Unzueta, Zeno Geradts, Marcel Worring, Unai Elordi
Identifying suspects from surveillance footage is a crucial task in forensic investigations, but it is often hindered by the variable conditions of observation and the large amounts of data. Face image quality (FIQ) is a metric that measures the usefulness of a face sample for facial recognition. Existing methods for automated FIQ assessment only provide a scalar value for quality, and do not indicate
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Face Image Completion Method Based on Parsing Features Maps IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-03-28 Shiqi Su, Xiaofeng Shao, Libo He, Hong Lin, Yuxuan Zuo, Zhenping Qiang
In this article, we focus on the facial completion task based on the parsing feature map. In recent years, methods based on deep learning have achieved remarkable results in face image completion. However, many methods do not consider the semantic structure information of face images, these methods may lead to unreasonable or discontinuous cases in the return results. To solve this problem, we propose
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Pain Level and Pain-Related Behaviour Classification Using GRU-Based Sparsely-Connected RNNs IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-03-28 Mohammad Mahdi Dehshibi, Temitayo Olugbade, Fernando Diaz-de-Maria, Nadia Bianchi-Berthouze, Ana Tajadura-Jiménez
There is a growing body of studies on applying deep learning to biometrics analysis. Certain circumstances, however, could impair the objective measures and accuracy of the proposed biometric data analysis methods. For instance, people with chronic pain (CP) unconsciously adapt specific body movements to protect themselves from injury or additional pain. Because there is no dedicated benchmark database
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An Overview of Advances in Signal Processing Techniques for Classical and Quantum Wideband Synthetic Apertures IEEE J. Sel. Top. Signal Process. (IF 7.5) Pub Date : 2023-03-28 Peter Vouras, Kumar Vijay Mishra, Alexandra Artusio-Glimpse, Samuel Pinilla, Angeliki Xenaki, David W. Griffith, Karen Egiazarian
Rapid developments in synthetic aperture (SA) systems, which generate a larger aperture with greater angular resolution than is inherently possible from the physical dimensions of a single sensor alone, are leading to novel research avenues in several signal processing applications. The SAs may either use a mechanical positioner to move an antenna through space or deploy a distributed network of sensors