Quality Assessment of Visual Content
Quality Assessment of Visual Content

Author: Ke Gu

Publisher: Springer Nature

Published: 2022-10-19

Total Pages: 256

ISBN-13: 9811933472

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This book provides readers with a comprehensive review of image quality assessment technology, particularly applications on screen content images, 3D-synthesized images, sonar images, enhanced images, light-field images, VR images, and super-resolution images. It covers topics containing structural variation analysis, sparse reference information, multiscale natural scene statistical analysis, task and visual perception, contour degradation measurement, spatial angular measurement, local and global assessment metrics, and more. All of the image quality assessment algorithms of this book have a high efficiency with better performance compared to other image quality assessment algorithms, and the performance of these approaches mentioned above can be demonstrated by the results of experiments on real-world images. On the basis of this, those interested in relevant fields can use the results obtained through these quality assessment algorithms for further image processing. The goal of this book is to facilitate the use of these image quality assessment algorithms by engineers and scientists from various disciplines, such as optics, electronics, math, photography techniques and computation techniques. The book can serve as a reference for graduate students who are interested in image quality assessment techniques, for front-line researchers practicing these methods, and for domain experts working in this area or conducting related application development.

Visual Signal Quality Assessment
Visual Signal Quality Assessment

Author: Chenwei Deng

Publisher: Springer

Published: 2014-11-11

Total Pages: 311

ISBN-13: 3319103687

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This book provides comprehensive coverage of the latest trends/advances in subjective and objective quality evaluation for traditional visual signals, such as 2D images and video, as well as the most recent challenges for the field of multimedia quality assessment and processing, such as mobile video and social media. Readers will learn how to ensure the highest storage/delivery/ transmission quality of visual content (including image, video, graphics, animation, etc.) from the server to the consumer, under resource constraints, such as computation, bandwidth, storage space, battery life, etc.

Visual Quality Assessment by Machine Learning
Visual Quality Assessment by Machine Learning

Author: Long Xu

Publisher: Springer

Published: 2015-05-09

Total Pages: 142

ISBN-13: 9812874682

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The book encompasses the state-of-the-art visual quality assessment (VQA) and learning based visual quality assessment (LB-VQA) by providing a comprehensive overview of the existing relevant methods. It delivers the readers the basic knowledge, systematic overview and new development of VQA. It also encompasses the preliminary knowledge of Machine Learning (ML) to VQA tasks and newly developed ML techniques for the purpose. Hence, firstly, it is particularly helpful to the beginner-readers (including research students) to enter into VQA field in general and LB-VQA one in particular. Secondly, new development in VQA and LB-VQA particularly are detailed in this book, which will give peer researchers and engineers new insights in VQA.

Perceptual Quality Assessment for Compressed Video
Perceptual Quality Assessment for Compressed Video

Author: Kai-Chieh Yang

Publisher:

Published: 2007

Total Pages: 156

ISBN-13:

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With multimedia research burgeoning, video applications have become essential to our daily life. However, as the compression becomes more aggressive, too much data loss results in degrading perceived video quality for viewers. Therefore, an accurate quality measurement is important to improve or preserve the quality of compressed video. This dissertation focuses on measuring the quality degradations that are caused by compression. We specifically target distortions with impact above the human perceptual threshold, which are also called artifacts. This type of distortion usually appears in a structured form. This characteristic makes quality assessment highly content dependent and many existing metrics fail in this regard. Some previous research has tried to raise the accuracy of video quality assessment by considering human visual system (HVS) effects, or human visual attention factors. However, both HVS and human visual attention have very strong interaction in the video quality assessment process, and none of the existing quality measurement research takes both of them into account. In addition, cognitive factors significantly influence the visual quality assessment process, but they have been ignored in current quality assessment research. Based on these realizations, a new video quality assessment philosophy is introduced in this thesis. It considers the characteristics of artifacts, effects from HVS, visual attention, and cognitive non-linearity. First, a new human visual module is proposed, it takes both visual masking and attention effects into account. Its unique design makes embedding this visual module in any video quality related applications very easy. Based on this new human visual module, a blurriness metric is designed which includes cognitive characteristics. This new blurriness metric does not rely on edge information, and is more robust at assessing heavily compressed video data. A metric for artifacts introduced by motion compensated field interpolation (MCFI) is also implemented. It is the first metric ever designed for measuring the spatial quality of temporally interpolated frames. From a temporal quality perspective, a novel temporal quality metric is designed to measure the temporal quality degradation caused by both uniform and non-uniform distributed frame loss. Experimental data shows these metrics significantly outperform the existing metrics.

3D Visual Content Creation, Coding and Delivery
3D Visual Content Creation, Coding and Delivery

Author: Pedro Amado Assunção

Publisher: Springer

Published: 2018-07-28

Total Pages: 328

ISBN-13: 3319778420

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This book covers the different aspects of modern 3D multimedia technologies by addressing several elements of 3D visual communications systems, using diverse content formats, such as stereo video, video-plus-depth and multiview, and coding schemes for delivery over networks. It also presents the latest advances and research results in regards to objective and subjective quality evaluation of 3D visual content, extending the human factors affecting the perception of quality to emotional states. The contributors describe technological developments in 3D visual communications, with particular emphasis on state-of-the-art advances in acquisition of 3D visual scenes and emerging 3D visual representation formats, such as: multi-view plus depth and light field; evolution to freeview and light-field representation; compression methods and robust delivery systems; and coding and delivery over various channels. Simulation tools, testbeds and datasets that are useful for advanced research and experimental studies in the field of 3D multimedia delivery services and applications are covered. The international group of contributors also explore the research problems and challenges in the field of immersive visual communications, in order to identify research directions with substantial economic and social impact. 3D Visual Content Creation, Coding and Delivery provides valuable information to engineers and computer scientists developing novel products and services with emerging 3D multimedia technologies, by discussing the advantages and current limitations that need to be addressed in order to develop their products further. It will also be of interest to students and researchers in the field of multimedia services and applications, who are particularly interested in advances bringing significant potential impact on future technological developments.

High-Quality Visual Experience
High-Quality Visual Experience

Author: Marta Mrak

Publisher: Springer Science & Business Media

Published: 2010-09-08

Total Pages: 544

ISBN-13: 3642128025

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Last few years have seen rapid acceptance of high-definition television (HDTV) technology around the world. This technology has been hugely successful in delivering more realistic television experience at home and accurate imaging for professional applications. Adoption of high definition continues to grow as consumers demand enhanced features and greater quality of content. Following this trend, natural evolution of visualisation technologies will be in the direction of fully realistic visual experience and highly precise imaging. However, using the content of even higher resolution and quality is not straightforward as such videos require significantly higher access bandwidth and more processing power. Therefore, methods for radical reduction of video bandwidth are crucial for realisation of high visual quality. Moreover, it is desirable to look into other ways of accessing visual content, solution to which lies in innovative schemes for content delivery and consumption. This book presents selected chapters covering technologies that will enable greater flexibility in video content representation and allow users to access content from any device and to interact with it.

Image Content Retargeting
Image Content Retargeting

Author: Alessandro Artusi

Publisher: CRC Press

Published: 2016-08-05

Total Pages: 238

ISBN-13: 1482249928

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In recent years visual devices have proliferated, from the massive high-resolution, high-contrast screens to the tiny ones on mobile phones, with their limited dynamic range and color gamut. The wide variety of screens on which content may be viewed creates a challenge for developers. Adapting visual content for optimized viewing on all devices is called retargeting. This is the first book to provide a holistic view of the subject, thoroughly reviewing and analyzing the many techniques that have been developed for retargeting along dimensions such as color gamut, dynamic range, and spatial resolution.

Multimedia Quality of Experience (QoE)
Multimedia Quality of Experience (QoE)

Author: Chang Wen Chen

Publisher: John Wiley & Sons

Published: 2016-01-19

Total Pages: 190

ISBN-13: 111848391X

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Multimedia Quality of Experience (QoE) Current Status and Future Requirements Multimedia Quality of Experience (QoE): Current Status and Future Requirements discusses the current status of QoE (Quality of Experience) research, providing guidelines on QoE assessment and management practice. Moreover, it covers many different aspects of QoE research, including definitions, standardization (ITU, ETSI, IEEE, IETF), measurement, management, and architectures. In addition, the authors bring together contributions from recognized experts (worldwide) in the area of subjective and objective QoE video assessment. Discusses the current status of QoE research; reporting the latest advances from various standardization bodies Provides guidelines on QoE assessment and management practice Explores methods, means, and architectures of QoE Considers future requirements of QoE

Visual Content Indexing and Retrieval with Psycho-Visual Models
Visual Content Indexing and Retrieval with Psycho-Visual Models

Author: Jenny Benois-Pineau

Publisher: Springer

Published: 2017-10-13

Total Pages: 276

ISBN-13: 3319576879

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This book provides a deep analysis and wide coverage of the very strong trend in computer vision and visual indexing and retrieval, covering such topics as incorporation of models of Human Visual attention into analysis and retrieval tasks. It makes the bridge between psycho-visual modelling of Human Visual System and the classical and most recent models in visual content indexing and retrieval. The large spectrum of visual tasks, such as recognition of textures in static images, of actions in video content, image retrieval, different methods of visualization of images and multimedia content based on visual saliency are presented by the authors. Furthermore, the interest in visual content is modelled with the means of the latest classification models such as Deep Neural Networks is also covered in this book. This book is an exceptional resource as a secondary text for researchers and advanced level students, who are involved in the very wide research in computer vision, visual information indexing and retrieval. Professionals working in this field will also be interested in this book as a reference.

Image Analysis and Recognition
Image Analysis and Recognition

Author: Fakhri Karray

Publisher: Springer

Published: 2019-08-12

Total Pages: 492

ISBN-13: 3030272028

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This two-volume set LNCS 11662 and 11663 constitutes the refereed proceedings of the 16th International Conference on Image Analysis and Recognition, ICIAR 2019, held in Waterloo, ON, Canada, in August 2019. The 58 full papers presented together with 24 short and 2 poster papers were carefully reviewed and selected from 142 submissions. The papers are organized in the following topical sections: Image Processing; Image Analysis; Signal Processing Techniques for Ultrasound Tissue Characterization and Imaging in Complex Biological Media; Advances in Deep Learning; Deep Learning on the Edge; Recognition; Applications; Medical Imaging and Analysis Using Deep Learning and Machine Intelligence; Image Analysis and Recognition for Automotive Industry; Adaptive Methods for Ultrasound Beamforming and Motion Estimation.