Image Feature Detectors and Descriptors
Image Feature Detectors and Descriptors

Author: Ali Ismail Awad

Publisher: Springer

Published: 2016-02-22

Total Pages: 437

ISBN-13: 3319288547

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This book provides readers with a selection of high-quality chapters that cover both theoretical concepts and practical applications of image feature detectors and descriptors. It serves as reference for researchers and practitioners by featuring survey chapters and research contributions on image feature detectors and descriptors. Additionally, it emphasizes several keywords in both theoretical and practical aspects of image feature extraction. The keywords include acceleration of feature detection and extraction, hardware implantations, image segmentation, evolutionary algorithm, ordinal measures, as well as visual speech recognition.

Content-Based Image Retrieval
Content-Based Image Retrieval

Author: Vipin Tyagi

Publisher: Springer

Published: 2018-01-15

Total Pages: 399

ISBN-13: 9811067597

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The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts related to image searches, together with examples of natural and texture image types. The book discusses key challenges and research topics in the context of image retrieval, and provides descriptions of various image databases used in research studies. The area of image retrieval, and especially content-based image retrieval (CBIR), is a very exciting one, both for research and for commercial applications. The book explains the low-level features that can be extracted from an image (such as color, texture, shape) and several techniques used to successfully bridge the semantic gap in image retrieval, making it a valuable resource for students and researchers interested in the area of CBIR alike.

Multimodal Location Estimation of Videos and Images
Multimodal Location Estimation of Videos and Images

Author: Jaeyoung Choi

Publisher: Springer

Published: 2014-10-06

Total Pages: 199

ISBN-13: 3319098616

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This book presents an overview of the field of multimodal location estimation. The authors' aim is to describe the research results in this field in a unified way. The book describes fundamental methods of acoustic, visual, textual, social graph, and metadata processing as well as multimodal integration methods used for location estimation. In addition, the book covers benchmark metrics and explores the limits of the technology based on a human baseline. The book also outlines privacy implications and discusses directions for future research in the area.