Book Cover
E-book
Author Computer Vision Conference (2019) Las Vegas, Nev

Title Advances in computer vision : proceedings of the 2019 Computer Vision Conference (CVC). Volume 2 / editors, Kohei Arai and Supriya Kapoor
Published Cham, Switzerland : Springer, [2020]

Copies

Description 1 online resource
Series Advances in intelligent systems and computing, 2194-5365 ; volume 944
Advances in intelligent systems and computing ; v. 944.
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
Summary 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 120 (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
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (EBSCO, viewed April 25, 2019)
Subject Computer vision -- Congresses
COMPUTERS -- General.
Computer vision
Genre/Form proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Form Electronic book
Author Arai, Kohei, editor.
Kapoor, Supriya, editor.
ISBN 9783030177980
303017798X
3030177971
9783030177973
9783030177997
3030177998