Skip to Content
Distributed Time-Sensitive Systems
book

Distributed Time-Sensitive Systems

by Tanupriya Choudhury, Rahul Kumar Singh, Ravi Tomar, S. Balamurugan, J. C. Patni
June 2025
Intermediate to advanced
400 pages
10h 37m
English
Wiley-Scrivener
Content preview from Distributed Time-Sensitive Systems

5AI in Computer Vision with Emerging Techniques and Their Scope

Pawan K. Mishra1*, Shalini Verma2, Jagdish C. Patni3 and Rajat Dubey4

1Computer Science and Engineering, Graphic Era (Deemed to be University), Dehradun, Uttarakhand, India

2Doon Institute of Engineering and Technology, Rishikesh, Uttrakhand, India

3Department of CSE, Alliance School of Advance Computing, Alliance University, Bengaluru, Karnataka, India

4Allianz Commercial, TX, Austin, USA

Abstract

Computer vision is a multidisciplinary discipline that allows computers to interpret and comprehend the visual environment. It is generally called a subfield of artificial intelligence (AI). To provide numerical and figurative information, this field broadly processes, analyzes, and comprehends many sorts of pictures, as well as high-dimensional data from the actual world. Structure identification, which draws out the characteristics of pictures, is at the core of computer vision. The field of computer vision gathers and analyzes sensory data to enable an understanding of three-dimensional environments through 2D mapping. Recent technical and application advancements are addressed. Investigated and updated are the places where many sorts of approaches originated. The growth and development of knowledge may be advantageous to academic scholars. The applications of identification, visualization, semantic division, and picture restoration are explained in four essential scenarios. Finally, a description of the phases ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Practical Recommender Systems

Practical Recommender Systems

Kim Falk
Machine Learning Production Systems

Machine Learning Production Systems

Robert Crowe, Hannes Hapke, Emily Caveness, Di Zhu

Publisher Resources

ISBN: 9781394197729