Visual Content Indexing and Retrieval with Psycho-Visual Models (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Multimedia Systems and Applications
Release date:	October 2017
First published:	2017
Editors:	Jenny Benois-Pineau • Patrick Le Callet
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	267
Edition:	1st ed. 2017
ISBN-13:	978-3-319-57686-2
Categories:	Books > Computing & IT > Computer software packages > Multimedia Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General
LSN:	3-319-57686-0
Barcode:	9783319576862

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