Title :
Finding the Needle in the Image Stack: Performance Metrics for Big Data Image Analysis
Author :
Miller, Kieran ; Morreale, P.
Abstract :
Explosive growth of images and video captured and recorded on computing devices has occurred in the last decade. With the emergence and widespread adoption of broadband Internet in the late 1990s and continuing to mobile and cellular phones, video and images are ubiquitous in all aspects of modern society. The challenge is how this visual data can be used and analyzed on a large scale and how the results of this analysis can be applied to society and its citizens.
Keywords :
Big Data; image processing; mobile computing; big data image analysis; broadband Internet; cellular phones; mobile phones; performance metrics; visual data; Benchmark testing; Big data; Information analysis; Internet; Legged locomotion; Multimedia communication; Streaming media; Big Data; image analysis; multimedia; multimedia applications;
Journal_Title :
MultiMedia, IEEE
DOI :
10.1109/MMUL.2014.6
