Overview
- Provides a wide spread of visual tasks such as texture recognition, image retrieval, action recognition, content visualization and detection of visual digital content
- Presents classical indexing models and the latest classification models such as Deep Neural Networks
- Covers Visual Saliency for Visualization of Digital Paintings
Part of the book series: Multimedia Systems and Applications (MMSA)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.Editors and Affiliations
Bibliographic Information
Book Title: Visual Content Indexing and Retrieval with Psycho-Visual Models
Editors: Jenny Benois-Pineau, Patrick Le Callet
Series Title: Multimedia Systems and Applications
DOI: https://doi.org/10.1007/978-3-319-57687-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-57686-2Published: 23 October 2017
Softcover ISBN: 978-3-319-86224-8Published: 23 August 2018
eBook ISBN: 978-3-319-57687-9Published: 13 October 2017
Series ISSN: 1568-2358
Series E-ISSN: 2945-5715
Edition Number: 1
Number of Pages: XIV, 267
Number of Illustrations: 24 b/w illustrations, 81 illustrations in colour
Topics: Image Processing and Computer Vision, Information Storage and Retrieval, Artificial Intelligence, Multimedia Information Systems