Images, Videos, and BigData



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.

In BigData related image processing, we will discuss the following topics in this chapter: (1) An overview of image and video segmentation, (2) Data storage and fast image segmentation, (3) Feature extraction, (4) Learning and training, and (5) Classification and decision making.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.The University of the District of ColumbiaWashington, DCUSA

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