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What is Computer Vision

Chapter 6
Handbook of Research on Emerging Technologies for Digital Preservation and Information Modeling
The field that includes methods for acquiring, processing, analysing and understanding images in order to produce numerical or symbolic information.
Published in Chapter:
Digital Surveying in Cultural Heritage: The Image-Based Recording and Documentation Approaches
Efstratios Stylianidis (Aristotle University of Thessaloniki, Greece) and Andreas Georgopoulos (National Technical University of Athens, Greece)
Copyright: © 2017 |Pages: 31
DOI: 10.4018/978-1-5225-0680-5.ch006
Abstract
Cultural Heritage is recognized as a priceless asset of human being, which exposes the humanity's achievements over centuries. The need for documentation and preservation of cultural heritage is well known worldwide. Digital surveying techniques are playing a catalytic role towards recording and documentation of cultural heritage. This chapter describes the methodological and technological aspects of image-based recording and documentation approaches acting as the vehicle for the digital surveying of cultural heritage. The chapter not only describes the different technologies and techniques used but also goes to the extent of clarifying several applied implementation issues. Three different examples and application case studies from a small, a medium and a large-scale cultural heritage objects are provided to demonstrate the developments.
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Chapter 153
An Image-Based Ship Detector With Deep Learning Algorithms
An automation technology that makes computers to gain high-level understanding from images and videos throughout acquiring, processing, analyzing, and recognizing digital data by transforming visual images into numerical or symbolic information.
Published in Chapter: An Image-Based Ship Detector With Deep Learning Algorithms; From: Encyclopedia of Data Science and Machine Learning
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Chapter 14
Artificial Intelligence a Driver for Digital Transformation
How machines visually and interpret the world and understand it from images or videos.
Published in Chapter: Artificial Intelligence a Driver for Digital Transformation; From: Handbook of Research on Digital Transformation and Challenges to Data Security and Privacy
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Chapter 7
PRHOLO: 360º Interactive Public Relations
A scientific discipline concerned with the theory behind artificial systems that extract information from images. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data (including 3D data). As a technological discipline, computer vision seeks to apply its theories and models to the construction of systems based on (computer) vision.
Published in Chapter: PRHOLO: 360º Interactive Public Relations; From: Handbook of Research on Human-Computer Interfaces, Developments, and Applications
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Chapter 3
Freshness Grading of Agricultural Products Using Artificial Intelligence
Processing of the meaningful information from digital visions within the terms of artificial intelligence.
Published in Chapter: Freshness Grading of Agricultural Products Using Artificial Intelligence; From: Artificial Intelligence Applications in Agriculture and Food Quality Improvement
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Chapter 1
Autonomous Vehicles
Systems that are in charge of an autonomous vehicle’s ability to observe its surroundings.
Published in Chapter: Autonomous Vehicles; From: Encyclopedia of Information Science and Technology, Fifth Edition
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Chapter 2
The Surveying and Representation Process Applied to Architecture: Non-Contact Methods for the Documentation of Cultural Heritage
Discipline that studies the techniques and algorithms for constructing devices or systems capable of acquiring information from images.
Published in Chapter: The Surveying and Representation Process Applied to Architecture: Non-Contact Methods for the Documentation of Cultural Heritage; From: Handbook of Research on Emerging Digital Tools for Architectural Surveying, Modeling, and Representation
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Chapter 10
An Intelligent Machine-Driven Perspective to Archaeological Pottery Reassembly
The ability to make computers or machines to see, interpret, and do similar tasks that humans can do.
Published in Chapter: An Intelligent Machine-Driven Perspective to Archaeological Pottery Reassembly; From: Encyclopedia of Information Science and Technology, Fifth Edition
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Chapter 588
Image Segmentation Methods
A discipline of Computer Science that includes methods for acquiring, processing, analyzing, and understanding.
Published in Chapter: Image Segmentation Methods; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 12
Encoded Memory: Artificial Intelligence and Deep Learning in Architecture
Is an interdisciplinary scientific field that deals with how computers can be made to gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do.
Published in Chapter: Encoded Memory: Artificial Intelligence and Deep Learning in Architecture; From: Impact of Industry 4.0 on Architecture and Cultural Heritage
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Chapter 8
Pattern Analysis in Marine Data Classification and Recognition: A Plea for Ontologies
a branch of artificial intelligence that deals with how computers can get a general idea of digital images or videos.
Published in Chapter: Pattern Analysis in Marine Data Classification and Recognition: A Plea for Ontologies; From: Handbook of Research on Technological Advances of Library and Information Science in Industry 5.0
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Chapter 8
Automatic Image Captioning Using Different Variants of the Long Short-Term Memory (LSTM) Deep Learning Model
A subfield of Artificial Intelligence that allows computers to derive meaningful insights from visual inputs like images, videos, etc.
Published in Chapter: Automatic Image Captioning Using Different Variants of the Long Short-Term Memory (LSTM) Deep Learning Model; From: Deep Learning Research Applications for Natural Language Processing
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Chapter 8
Artificial Intelligence and Machine Learning Algorithms
AI is used for dissimilar applications as vehicle plate identification on which number is written and also in facial recognition.
Published in Chapter: Artificial Intelligence and Machine Learning Algorithms; From: Challenges and Applications for Implementing Machine Learning in Computer Vision
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Chapter 107
Using Machine Learning to Extract Insights From Consumer Data
A field of computer science and class of methods which allow computer systems to process and make sense of visual images, akin to human vision system.
Published in Chapter: Using Machine Learning to Extract Insights From Consumer Data; From: Encyclopedia of Data Science and Machine Learning
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Chapter 1
Augmented Intelligence: Leverage Smart Systems
Computer vision is an interdisciplinary scientific field that deals with how computers can be made to gain high-level understanding from digital images or videos.
Published in Chapter: Augmented Intelligence: Leverage Smart Systems; From: Smart Systems Design, Applications, and Challenges
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Chapter 5
Monitoring Social Distancing With Real-Time Detection and Tracking
An automation technology that makes computers to gain high-level understanding from images and videos throughout acquiring, processing, analyzing, and recognizing digital data by transforming visual images into numerical or symbolic information.
Published in Chapter: Monitoring Social Distancing With Real-Time Detection and Tracking; From: Applied Big Data Analytics and Its Role in COVID-19 Research
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Chapter 31
Artificial Intelligence as Virtual Inspector for Construction Waste Dumping: Case Study of ViAct
A field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs — and take actions or make recommendations based on that information. If AI enables computers to think, computer vision enables them to see, observe and understand.
Published in Chapter: Artificial Intelligence as Virtual Inspector for Construction Waste Dumping: Case Study of ViAct; From: Handbook of Research on Water Sciences and Society
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Chapter 12
Human Motion Analysis and Simulation Tools: A Survey
Is a discipline that studies methods and algorithms that are able to acquire, process and understand entities represented in images. The ultimate goal is to produce decisions and/or descriptions about the represented entities.
Published in Chapter: Human Motion Analysis and Simulation Tools: A Survey; From: Handbook of Research on Computational Simulation and Modeling in Engineering
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Chapter 22
Lightweight Neural Networks for Pedestrian Detection in Intelligent Vehicles
It is a field that studies how computers may learn to recognize digital images or video using artificial intelligence techniques. From an engineering standpoint, it tries to comprehend and automate operations that the human visual system is capable of performing.
Published in Chapter: Lightweight Neural Networks for Pedestrian Detection in Intelligent Vehicles; From: Handbook of Research on AI Methods and Applications in Computer Engineering
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Chapter 5
A Survey on Intelligence Tools for Data Analytics
Domain in science that deals with the use of computers in understanding and automating the tasks that a human visual system can do.
Published in Chapter: A Survey on Intelligence Tools for Data Analytics; From: Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics
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Chapter 4
Environments Diagnosis by Means of Computer Vision System of Autonomous Flying Robots
Implements a complex process of extracting, identifying, and converting video information, which includes six basic steps: 1) obtaining (perceiving) information, or sensing; 2) preconditioning, or preprocessing; 3) segmentation; 4) description; 5) recognition; and 6) interpretation.
Published in Chapter: Environments Diagnosis by Means of Computer Vision System of Autonomous Flying Robots; From: Automated Systems in the Aviation and Aerospace Industries
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Chapter 6
Artificial Intelligence Methods for Face Covering Detections
An automation technology that makes computers to gain high-level understanding from images and videos throughout acquiring, processing, analyzing, and recognizing digital data by transforming visual images into numerical or symbolic information.
Published in Chapter: Artificial Intelligence Methods for Face Covering Detections; From: Applied Big Data Analytics and Its Role in COVID-19 Research
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Chapter 17
Impact-Resistant Flying Platform for Use in the Urban Construction Monitoring
Implies a integral process of extracting, identifying, and converting video information that includes six basic steps: 1) perceiving information, or sensing, 2) preconditioning or preprocessing, 3) segmentation, 4) description, 5) recognition, and 6) interpretation.
Published in Chapter: Impact-Resistant Flying Platform for Use in the Urban Construction Monitoring; From: Methods and Applications of Geospatial Technology in Sustainable Urbanism
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Chapter 2
Machine Learning in Computer Vision
A research area of computer science that deals with image and video. The goal is to extract important information extraction from images and video.
Published in Chapter: Machine Learning in Computer Vision; From: Applications of Machine Learning and Artificial Intelligence in Education
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Chapter 6
Subjective and Objective Assessment for Variation of Plant Nitrogen Content to Air Pollutants Using Machine Intelligence: Subjective and Objective Assessment
As a scientific discipline, computer vision is concerned with the theory and technology for building artificial systems that obtain information from images or multi-dimensional data. This type of processing typically needs input data provided by a computer vision system, acting as a vision sensor and providing high-level information about the environment and the robot.
Published in Chapter: Subjective and Objective Assessment for Variation of Plant Nitrogen Content to Air Pollutants Using Machine Intelligence: Subjective and Objective Assessment; From: Fuzzy Expert Systems and Applications in Agricultural Diagnosis
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Chapter 32
Mobile Camera-Based User Interaction
The analysis of image sequences, concerned with computer processing of images from the real world. Computer vision typically requires a combination of low-level image processing and high-level pattern recognition and image understanding to recognize important features in the image.
Published in Chapter: Mobile Camera-Based User Interaction; From: Handbook of Research on User Interface Design and Evaluation for Mobile Technology
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Chapter 12
Ensuring the Safety of UAV Flights by Means of Intellectualization of Control Systems
Implements a complex process of extracting, identifying, and converting video information, which includes six basic steps: 1) obtaining (perceiving) information, or sensing; 2) preconditioning, or preprocessing; 3) segmentation; 4) description; 5) recognition; and 6) interpretation.
Published in Chapter: Ensuring the Safety of UAV Flights by Means of Intellectualization of Control Systems; From: Cases on Modern Computer Systems in Aviation
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Chapter 5
An Initial Framework to Develop a Mobile Five Human Senses Augmented Reality System for Museums
An interdisciplinary field that deals with how computers can gain high-level understanding from digital images or videos.
Published in Chapter: An Initial Framework to Develop a Mobile Five Human Senses Augmented Reality System for Museums; From: Handbook of Research on Technological Developments for Cultural Heritage and eTourism Applications
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Chapter 9
Big Data Helps for Non-Pharmacological Disease Control Measures of COVID-19
An automation technology that makes computers to gain high-level understanding from images and videos throughout acquiring, processing, analyzing, and recognizing digital data by transforming visual images into numerical or symbolic information.
Published in Chapter: Big Data Helps for Non-Pharmacological Disease Control Measures of COVID-19; From: Encyclopedia of Data Science and Machine Learning
Full Text Chapter Download: US $29.50 Add to Cart
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