Immersive Video Technologies
Immersive Video Technologies

Author: Giuseppe Valenzise

Publisher: Academic Press

Published: 2022-09-29

Total Pages: 686

ISBN-13: 0323986234

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Get a broad overview of the different modalities of immersive video technologies—from omnidirectional video to light fields and volumetric video—from a multimedia processing perspective. From capture to representation, coding, and display, video technologies have been evolving significantly and in many different directions over the last few decades, with the ultimate goal of providing a truly immersive experience to users. After setting up a common background for these technologies, based on the plenoptic function theoretical concept, Immersive Video Technologies offers a comprehensive overview of the leading technologies enabling visual immersion, including omnidirectional (360 degrees) video, light fields, and volumetric video. Following the critical components of the typical content production and delivery pipeline, the book presents acquisition, representation, coding, rendering, and quality assessment approaches for each immersive video modality. The text also reviews current standardization efforts and explores new research directions. With this book the reader will a) gain a broad understanding of immersive video technologies that use three different modalities: omnidirectional video, light fields, and volumetric video; b) learn about the most recent scientific results in the field, including the recent learning-based methodologies; and c) understand the challenges and perspectives for immersive video technologies. - Describes the whole content processing chain for the main immersive video modalities (omnidirectional video, light fields, and volumetric video) - Offers a common theoretical background for immersive video technologies based on the concept of plenoptic function - Presents some exemplary applications of immersive video technologies

DHM2020
DHM2020

Author: L. Hanson

Publisher: IOS Press

Published: 2020-09-11

Total Pages: 452

ISBN-13: 1643681052

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Digital human modeling (DHM) is an active field of research directed towards the goal of creating detailed digital models of the human body and its functions, as well as assessment methods for evaluating human interaction with products and production systems. These have many applications in ergonomics, design and engineering, in fields as diverse as the automotive industry and medicine. This book presents the proceedings of the 6th International Digital Human Modeling Symposium (DHM2020), held in Skövde, Sweden from 31 August to 2 September 2020. The conference was also accessible online for those unable to attend in person because of restrictions due to the Covid-19 pandemic. The symposium provides an international forum for researchers, developers and users to report their latest innovations, summarize new developments and experiences within the field, and exchange ideas, results and visions in all areas of DHM research and applications. The book contains the 43 papers accepted for presentation at the conference, and is divided into 6 sections which broadly reflect the topics covered: anthropometry; behavior and biomechanical modeling; human motion data collection and modeling; human-product interaction modeling; industry and user perspectives; and production planning and ergonomics evaluation. Providing a state-of-the-art overview of research and developments in digital human modeling, the book will be of interest to all those who are active in the field.

The Influence of Delay on Cloud Gaming Quality of Experience
The Influence of Delay on Cloud Gaming Quality of Experience

Author: Saeed Shafiee Sabet

Publisher: Springer Nature

Published: 2022-06-18

Total Pages: 166

ISBN-13: 303099869X

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This book provides an understanding of the impact of delay on cloud gaming Quality of Experience (QoE) and proposes techniques to compensate for this impact, leading to a better gaming experience when there are network delays. The author studies why some games in the cloud are more delay sensitive than others by identifying game characteristics influencing a user's delay perception and predicting the gaming QoE degraded by the delay. The author also investigates the impact of jitter and serial-position effects on gaming QoE and delay. Using the insight gained, the author presents delay compensation techniques that can mitigate the negative influence of delay on gaming QoE that use the game characteristics to adapt the games.

Assessing the Quality of Experience of Cloud Gaming Services
Assessing the Quality of Experience of Cloud Gaming Services

Author: Steven Schmidt

Publisher: Springer Nature

Published: 2022-09-07

Total Pages: 230

ISBN-13: 3031060113

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This book provides an overview of concepts and challenges in intis investigated using structural equation modeling. The conveyed understanding of gaming QoE, empirical eraction quality in the domain of cloud gaming services. The author presents a unified evaluation approach by combining quantitative subjective assessment methods in a concise way. The author discusses a measurement tool, Gaming Input Quality Scale (GIPS), that assesses the interaction quality of such a service available. Furthermore, the author discusses a new framework to assess gaming Quality of Experience (QoE) using a crowdsourcing approach. Lastly, based on a large dataset including dominant network and encoding conditions, the evaluation method is investigated using structural equation modeling. The conveyed understanding of gaming QoE, empirical findings, and models presented in this book should be of particular interest to researchers working in the fields of quality and usability engineering, as well as service providers and network operators.

Extended Reality
Extended Reality

Author: Lucio Tommaso De Paolis

Publisher: Springer Nature

Published: 2022-08-25

Total Pages: 367

ISBN-13: 3031155467

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This two volume proceedings, LNCS 13445 and 13446, constitutes the refereed proceedings of the First International Conference on Extended Reality, XR Salento 2022, held in Lecce, Italy, during July 6–8, 2022. Due to COVID-19 pandemic the conference was held as a hybrid conference. The 42 full and 16 short papers were carefully reviewed and selected from 84 submissions. The papers discuss key issues, approaches, ideas, open problems, innovative applications and trends in virtual reality, augmented reality, mixed reality, applications in cultural heritage, in medicine, in education, and in industry.

Influencing Factors in Speech Quality Assessment using Crowdsourcing
Influencing Factors in Speech Quality Assessment using Crowdsourcing

Author: Rafael Zequeira Jiménez

Publisher: Springer Nature

Published: 2022-04-04

Total Pages: 129

ISBN-13: 3030933105

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This book evaluates the impact of relevant factors affecting the results of speech quality assessment studies carried out in crowdsourcing. The author describes how these factors relate to the test structure, the effect of environmental background noise, and the influence of language differences. He details multiple user-centered studies that have been conducted to derive guidelines for reliable collection of speech quality scores in crowdsourcing. Specifically, different questions are addressed such as the optimal number of speech samples to include in a listening task, the influence of the environmental background noise in the speech quality ratings, as well as methods for classifying background noise from web audio recordings, or the impact of language proficiency in the user perception of speech quality. Ultimately, the results of these studies contributed to the definition of the ITU-T Recommendation P.808 that defines the guidelines to conduct speech quality studies in crowdsourcing.

Quality of Experience Modeling for Cloud Gaming Services
Quality of Experience Modeling for Cloud Gaming Services

Author: Saman Zadtootaghaj

Publisher: Springer Nature

Published: 2022-05-04

Total Pages: 181

ISBN-13: 3030982491

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This book presents the development of a gaming quality model to predict the gaming Quality of Experience (QoE) of players that could be used for planning the network service or quality monitoring of cloud gaming services. The author presents a model that is developed following a modular structure approach that keeps the different types of impairments separately. The book shows how such a modular structure allows developing a sustainable model as each component can be updated by advances in that specific research area or technology. The presented gaming quality model takes into account two modules of video quality and input quality. The latter considers the interactivity aspects of gaming. The video quality module offers a series of models that differ depending on the level of access to the video stream information, allowing high flexibility for service providers regarding the positions of measuring points within their system. In summary, the present book focuses on (1) creation of multiple image/video and cloud gaming quality datasets, (2) development of a gaming video classification, and (3) development of a series of gaming QoE models to predict the gaming QoE depending on the level of access to the video stream information.

Deep Learning Based Speech Quality Prediction
Deep Learning Based Speech Quality Prediction

Author: Gabriel Mittag

Publisher: Springer Nature

Published: 2022-02-24

Total Pages: 171

ISBN-13: 3030914798

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This book presents how to apply recent machine learning (deep learning) methods for the task of speech quality prediction. The author shows how recent advancements in machine learning can be leveraged for the task of speech quality prediction and provides an in-depth analysis of the suitability of different deep learning architectures for this task. The author then shows how the resulting model outperforms traditional speech quality models and provides additional information about the cause of a quality impairment through the prediction of the speech quality dimensions of noisiness, coloration, discontinuity, and loudness.

Advances on P2P, Parallel, Grid, Cloud and Internet Computing
Advances on P2P, Parallel, Grid, Cloud and Internet Computing

Author: Leonard Barolli

Publisher: Springer Nature

Published: 2021-10-19

Total Pages: 342

ISBN-13: 3030898997

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This book provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to P2P, grid, cloud and Internet computing as well as to reveal synergies among such large-scale computing paradigms. P2P, grid, cloud and Internet computing technologies have been very fast established as breakthrough paradigms for solving complex problems by enabling aggregation and sharing of an increasing variety of distributed computational resources at large scale. Grid computing originated as a paradigm for high performance computing, as an alternative to expensive supercomputers through different forms of large-scale distributed computing. P2P computing emerged as a new paradigm after client-server and web-based computing and has shown useful to the development of social networking, Business to Business (B2B), Business to Consumer (B2C), Business to Government (B2G), Business to Employee (B2E) and so on. Cloud computing has been defined as a “computing paradigm where the boundaries of computing are determined by economic rationale rather than technical limits.” Cloud computing has fast become the computing paradigm with applicability and adoption in all application domains and providing utility computing at large scale. Finally, Internet computing is the basis of any large-scale distributed computing paradigms; it has very fast developed into a vast area of flourishing field with enormous impact on today’s information societies serving thus as a universal platform comprising a large variety of computing forms such as grid, P2P, cloud and mobile computing.