Computational Information Geometry [electronic resource] : For Image and Signal Processing /
Contributor(s): Nielsen, Frank [editor.] | Critchley, Frank [editor.] | Dodson, Christopher T. J [editor.] | SpringerLink (Online service).
Series: Signals and Communication Technology: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XIV, 299 p. 79 illus. | Binding - Card Paper |.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319470580.Subject(s): Computer Engineering
| Signal, Image and Speech Processing | Statistics and Computing/Statistics Programs | Probability Theory and Stochastic Processes | Coding and Information Theory | Biomedical Engineering and BioengineeringDDC classification: 621.382 Online resources: Click here to access eBook in Springer Nature platform. (Within Campus only.)
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Springer Nature eBookSummary: This book focuses on the application and development of information geometric methods in the analysis, classification and retrieval of images and signals. It provides introductory chapters to help those new to information geometry and applies the theory to several applications. This area has developed rapidly over recent years, propelled by the major theoretical developments in information geometry, efficient data and image acquisition and the desire to process and interpret large databases of digital information. The book addresses both the transfer of methodology to practitioners involved in database analysis and in its efficient computational implementation.
This book focuses on the application and development of information geometric methods in the analysis, classification and retrieval of images and signals. It provides introductory chapters to help those new to information geometry and applies the theory to several applications. This area has developed rapidly over recent years, propelled by the major theoretical developments in information geometry, efficient data and image acquisition and the desire to process and interpret large databases of digital information. The book addresses both the transfer of methodology to practitioners involved in database analysis and in its efficient computational implementation.
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