Advances in Computer Vision: Proceedings of the 2019 Computer Vision Conference (CVC), Volume 2

Author:   Kohei Arai ,  Supriya Kapoor
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   944
ISBN:  

9783030177973


Pages:   767
Publication Date:   24 April 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Advances in Computer Vision: Proceedings of the 2019 Computer Vision Conference (CVC), Volume 2


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Overview

This book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers, and students all around the world. These submissions underwent a double-blind peer review process, after which 118 (including 7 poster papers) were selected for inclusion in these proceedings. The book’s goal is to reflect the intellectual breadth and depth of current research on computer vision, from classical to intelligent scope. Accordingly, its respective chapters address state-of-the-art intelligent methods and techniques for solving real-world problems, while also outlining future research directions. Topic areas covered include Machine Vision and Learning, Data Science,Image Processing, Deep Learning, and Computer Vision Applications.

Full Product Details

Author:   Kohei Arai ,  Supriya Kapoor
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   944
Weight:   1.175kg
ISBN:  

9783030177973


ISBN 10:   3030177971
Pages:   767
Publication Date:   24 April 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Data-Driven Multi-step Demand Prediction for Ride-hailing Services using Convolutional Neural Network.- Proactive Management of Regulatory Policy Ripple Effects Via Computational Hierarchical Change Management Structure.- Iceberg Detection by CNN based on Incidence-Angle Confusion.- The Effectiveness of Distinctive Information for Cancer Cell Analysis through Big Data.- Forecasting Food Sales in a Multiplex using Dynamic Artificial Neural Networks.- Cooperation of Virtual Reality and Real Objects with HoloLens.- Feature Map Transformation for Multi-Sensor Fusion in Object Detection Networks for Autonomous Driving.- Application of Remote Sensing for Automated Litter Detection and Management.- Robots in Healthcare: A Survey.- Character Localization based on Support Vector Machine.

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