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Found 4 from your keywords: author="LIN, Weisi"
cover
Visual Signal Quality Assessment Quality of Experience (QoE)
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LIN, WeisiDENG, ChenweiLIN, MANGAN, King Ngi

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 q…

Edition
-
ISBN/ISSN
978-3-319-10368-6
Collation
-
Series Title
-
Call Number
-
cover
Visual Quality Assessment by Machine Learning
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LONG, XULIN, WeisiKUO, C.-C. Jay

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 …

Edition
-
ISBN/ISSN
978-981-287-468-9
Collation
-
Series Title
-
Call Number
-
cover
Visual Signal Quality Assessment Quality of Experience (QoE)
Comment Share
LIN, WeisiDENG, ChenweiLIN, MANGAN, King Ngi

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 q…

Edition
-
ISBN/ISSN
978-3-319-10368-6
Collation
XII, 302
Series Title
-
Call Number
-
cover
Visual Quality Assessment by Machine Learning
Comment Share
LONG, XULIN, WeisiKUO, C.-C. Jay

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 …

Edition
-
ISBN/ISSN
978-981-287-468-9
Collation
XIV, 132
Series Title
-
Call Number
-