Abstract
Images and videos are really BigData, even before the concept of BigData was initiated or created. For many companies, image related data occupies 80 % of their storage. Therefore, data processing related to images is an essential topic in data science. The tasks concerning images and videos are mainly object search, recognition, and tracking. Current and future applications of images and videos include security and surveillance, medical imaging, traffic monitoring, industrial measurements, document recognition, automated driving, and more. In this chapter, we focus on massive image data processing and computer vision. We will still focus on machine learning algorithms. Images and video always require most of the storage space and by having applications over the Internet, we can say that image related problems are always BigData problems. Even with other applications, we still need to consider massive data processing. For instance, automated driving is a challenge to data science.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
