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2020 Index IEEE Transactions on Broadcasting Vol. 66

2020 IEEE transactions on broadcasting  
, Y., and Li, W., Using NOMA for Enabling Broadcast/Unicast Convergence in 5G Networks; TBC June 2020 503-514  ...  ., Future 5G mmWave TV Service With Fast List Decoding of Polar Codes; TBC June 2020 525-533 Hou, J., Wang, W., Zhang, Y., and Liu, X Iradier, E., Montalban, J., Fanari, L., Angueira, P., Zhang, L., Wu  ...  ., +, TBC June 2020 241-250 Perceptual QoE-Optimal Resource Allocation for Adaptive Video Streaming.  ... 
doi:10.1109/tbc.2021.3055975 fatcat:4tbvfkcodrgxbput2p7rpem2na

Lightweight Quality Metric Based on No-Reference Bitstream for H.264/AVC Video

Yo-Han Kim
2012 KSII Transactions on Internet and Information Systems  
This paper proposes a quality metric based on a No-Reference Bitstream (NR-B) having least computational complexity for the assessment of the human-perceptual quality of H.264 encoded video.  ...  From performance evaluation using 165 compressed video sequences, the experiment results show that the proposed metric has a higher correlation with subjective quality than is achieved with other comparable  ...  Conclusion A lightweight metric based on the NR-B method is proposed to represent perceptual video-quality.  ... 
doi:10.3837/tiis.2012.05.008 fatcat:v5crgdsurnb3xponklgnpw74eu

Measuring, modelling and Integrating Time-varying Video Quality in End-to-End Multimedia Service Delivery: A Review and Open Challenges

Chaminda T.E.R. Hewage, Arslan Ahmad, Thanuja Mallikarachchi, Nabajeet Barman, Maria G. Martini
2022 IEEE Access  
for global quality measurements, and Continuous Time-Varying Quality (CTVQ) models; 2) Future Challenges and Directions -we investigate ten major research challenges and future directions based on the  ...  The contribution of this work is two fold: 1) Survey -we provide a review of state-of-the-art works for video quality models to quantify multiple artifacts into a single QoE metric, pooling strategies  ...  Pooling is performed at frame-level and sequence level using user-defined perceptual weights. The weights are calculated based on the frame type, moving or stationary.  ... 
doi:10.1109/access.2022.3180491 fatcat:4mcyfjfd2zhrzl7qytj7vwkwsm

360-Degree Video Streaming: A Survey of the State of the Art

Rabia Shafi, Wan Shuai, Muhammad Usman Younus
2020 Symmetry  
This paper surveys 360-degree video streaming by focusing on different paradigms from capturing to display.  ...  360-degree video streaming is expected to grow as the next disruptive innovation due to the ultra-high network bandwidth (60–100 Mbps for 6k streaming), ultra-high storage capacity, and ultra-high computation  ...  Acknowledgments: We would like to thank Kaifang Yang from Shaanxi Normal University for his insightful comments to improve the quality of the manuscript.  ... 
doi:10.3390/sym12091491 fatcat:wciqpwsi75grffl2ug73uzsbsm

A Survey on QoE-Oriented VR Video Streaming: Some Research Issues and Challenges

Jinjia Ruan, Dongliang Xie
2021 Electronics  
The review in this paper focuses on a comprehensive summary of the current state of quality-of-experience (QoE) technologies applied to VR video streaming.  ...  Third, the modeling of QoE for VR video streaming, the QoE-oriented VR optimization problem, and enabling techniques of machine learning for VR video streaming improvement are summarized.  ...  [121] propose a video streaming system by considering the balance between perceptual quality and video coding efficiency; a variable-sized tile tiling coding scheme is proposed.  ... 
doi:10.3390/electronics10172155 fatcat:pvpkwg52sff6nf6ximtli7elpa

MPEG-compliant joint source/channel coding using discrete cosine transform and substream scheduling for visual communication over packet networks

Shan Suthaharan
2001 Journal of Electronic Imaging (JEI)  
An architectural framework for multimedia networks based on substreams or flows is effectively exploited for combining source and channel coding for multimedia data.  ...  Finally, we designed a management (reservation and scheduling) scheme for substreams to support better perceptual video quality such as the bound of end-to-end jitter.  ...  In Sec. 4, we designed JSCC, where we used the MPEG transcoder, which packetizes the MPEG coded stream and the JSCC coupler which classifies packets based on motion information.  ... 
doi:10.1117/1.1311794 fatcat:ipf5ofmjybbmndysit2xresvci

Table of Contents

2018 2018 IEEE International Symposium on Multimedia (ISM)  
, TU Berlin, Germany), and Möller Sebastian (Quality and Usability Lab, TU Berlin, and German Research Center for Artificial Intelligence (DFKI)) Light-Weight Video Coding Based on Perceptual Video Quality  ...  and on-Demand Tiled HEVC 360 VR Video Streaming SC-Conv: Sparse-Complementary Convolution for Efficient Model Utilization on CNNs 97 Chun-Fu (Richard) Chen (IBM T.J.  ... 
doi:10.1109/ism.2018.00004 fatcat:itdeitfrvfcabi3bnp772wfzte

DEMI: Deep Video Quality Estimation Model using Perceptual Video Quality Dimensions

Saman Zadtootaghaj, Nabajeet Barman, Rakesh Rao Ramachandra Rao, Steve Goring, Maria G. Martini, Alexander Raake, Sebastian Moller
2020 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP)  
The light-weight, low complexity nature of the model makes it suitable for real-time applications considering both gaming and non-gaming content while achieving similar performance to existing state-of-the-art  ...  Next, the model is fine-tuned based on a small image quality dataset using blockiness and blurriness ratings.  ...  Perceptual Video Quality Dimensions One of the reasons for the increasing popularity of adaptive streaming is the fact that in adaptive bitrate streaming using TCP there exist no visual quality impairment  ... 
doi:10.1109/mmsp48831.2020.9287080 fatcat:352dgs6hvzfmvc62qnaw6vboc4

2019 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 29

2019 IEEE transactions on circuits and systems for video technology (Print)  
., +, TCSVT Nov. 2019 3326-3340 UHD Video Coding: A Light-Weight Learning-Based Fast Super-Block Approach.  ...  ., +, TCSVT Jan. 2019 50-67 Shared Coded Picture Technique for Tile-Based Viewport-Adaptive Stream- ing of Omnidirectional Video.  ... 
doi:10.1109/tcsvt.2019.2959179 fatcat:2bdmsygnonfjnmnvmb72c63tja

Video Quality Metrics [chapter]

Shahriar Akramullah
2014 Digital Video Concepts, Methods, and Metrics  
For example, a network digital video server can appropriately allocate, control, and trade off the streaming resources based on the video quality assessment on the fly.  ...  For efficient coding, suitable sizes must be chosen based on the pattern of details in a video frame.  ... 
doi:10.1007/978-1-4302-6713-3_4 fatcat:h3ixkabeezd4lj6d6h5ntpm4gq

Multimodal QoE evaluation in P2P-based IPTV systems

Mu Mu, Johnathan Ishmael, Keith Mitchell, Nicholas Race, Andreas Mauthe
2011 Proceedings of the 19th ACM international conference on Multimedia - MM '11  
Although a number of audio-visual content distribution services have been developed using P2P-based mechanisms, it is still a challenge to guarantee satisfactory user experience on high quality video streaming  ...  This paper introduces a multimodal quality evaluation framework that is specifically designed and implemented for the assessment of video streaming services in P2P-based IPTV systems.  ...  For instance, a no-reference perceptual quality assessment model introduced in [16] is exploited to evaluate picture quality based on the measurement of both blurring and blocking effects.  ... 
doi:10.1145/2072298.2072004 dblp:conf/mm/MuIMRM11 fatcat:z3kwa2oa75eelfoacoiem4smhy

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TMM 2021 1530-1541 TCLiVi: Transmission Control in Live Video Streaming Based on Deep Reinforcement Learning.  ...  Li, Y., +, TMM 2021 3377-3387 TCLiVi: Transmission Control in Live Video Streaming Based on Deep Reinforcement Learning.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

Mobile 3D television: development of core technological elements and user-centered evaluation methods toward an optimized system

Atanas Gotchev, Aljoscha Smolic, Satu Jumisko-Pyykkö, Dominik Strohmeier, Gozde Bozdagi Akar, Philipp Merkle, Nikolai Daskalov, Reiner Creutzburg, David Akopian
2009 Multimedia on Mobile Devices 2009  
In this overview paper, we present our current results on developing optimal methods for stereo-video content creation, coding and transmission and emphasize their significance for the power-constrained  ...  Based on this analysis we present the user-centered methodological framework being used throughout the whole development process of the system and aimed at achieving the best performance and quality appealing  ...  We would like to thank KUK Filmproduktion GmbH, Munich, Germany, for providing the Hands, Car, Horse and Snail stereo video data  ... 
doi:10.1117/12.816728 fatcat:rbfzfbphufagpfnbspsvhj3bry

An evaluation of power transfer functions for HDR video compression

Jonathan Hatchett, Kurt Debattista, Ratnajit Mukherjee, Thomas Bashford-Rogers, Alan Chalmers
2016 The Visual Computer  
If HDR is to fulfil its potential for use in live broadcasts and interactive remote gaming, fast, efficient compression is necessary for HDR video to be manageable on existing communications infrastructure  ...  A number of methods have been put forward for HDR video compression. However, these can be relatively complex and frequently require the use of multiple video streams.  ...  We would also like to thank Scott Daly and Pete Shirley for their comments on the paper.  ... 
doi:10.1007/s00371-016-1322-0 fatcat:rmt7hmtqqjb65bus5qwvfezd7u

No-Reference Video Quality Assessment Using Multi-Pooled, Saliency Weighted Deep Features and Decision Fusion

Domonkos Varga
2022 Sensors  
This paper presents a novel, innovative deep learning-based approach for NR-VQA that relies on a set of in parallel pre-trained convolutional neural networks (CNN) to characterize versatitely the potential  ...  Specifically, temporally pooled and saliency weighted video-level deep features are extracted with the help of a set of pre-trained CNNs and mapped onto perceptual quality scores independently from each  ...  Acknowledgments: We thank the anonymous reviewers for their careful reading of our manuscript and their many insightful comments and suggestions.  ... 
doi:10.3390/s22062209 pmid:35336380 pmcid:PMC8948651 fatcat:rre6ix7ou5bwbifzox625menfi
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