MARC details
| 000 -LEADER |
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| fixed length control field |
02219nam a2200229 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20220722123604.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220722b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783030909024 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.37 |
| Item number |
VEL |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Velasco-Montero, Delia; |
| 245 ## - TITLE STATEMENT |
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| Title |
Visual inference for IOT systems : |
| Remainder of title |
a practical approach |
| Statement of responsibility, etc. |
Delia Velasco-Montero; Jorge Fernández-Berni; Angel Rodríguez-Vázquez |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cham, Switzerland : |
| Name of publisher, distributor, etc. |
Springer, |
| Date of publication, distribution, etc. |
2022. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Page number |
159 pages : |
| Other physical details |
ill.; |
| Dimensions |
24 cm. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Title |
Introduction --<br/> |
| -- |
Embedded Vision for the Internet of the Things: State-of-the-Art --<br/> |
| -- |
Hardware, Software, and Network Models for Deep-Learning Vision: A Survey --<br/> |
| -- |
Optimal Selection of Software and Models for Visual Interference --<br/> |
| -- |
Relevant Hardware Metrics for Performance Evaluation --<br/> |
| -- |
Prediction of Visual Interference Performance --<br/> |
| -- |
A Case Study: Remote Animal Recognition. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
<br/>This book presents a systematic approach to the implementation of Internet of Things (IoT) devices achieving visual inference through deep neural networks. Practical aspects are covered, with a focus on providing guidelines to optimally select hardware and software components as well as network architectures according to prescribed application requirements. The monograph includes a remarkable set of experimental results and functional procedures supporting the theoretical concepts and methodologies introduced. A case study on animal recognition based on smart camera traps is also presented and thoroughly analyzed. In this case study, different system alternatives are explored and a particular realization is completely developed. Illustrations, numerous plots from simulations and experiments, and supporting information in the form of charts and tables make Visual Inference and IoT Systems: A Practical Approach a clear and detailed guide to the topic. It will be of interest to researchers, industrial practitioners, and graduate students in the fields of computer vision and IoT. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Artificial intelligence |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Computer vision |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Internet of things |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Fernández-Berni, Jorge; |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Rodríguez-Vázquez, Angel |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| -- |
5374 |
