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Finding the Needle in the Image Stack: Performance Metrics for Big Data Image Analysis
Jan.-Mar. 2014 (vol. 21 no. 1)
pp. 84-89
Kieran Miller, Kean University
Patricia Morreale, Kean University
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.
Index Terms:
Big data,Benchmark testing,Internet,Information analysis,Multimedia communication,Legged locomotion,Streaming media,image analysis,multimedia,multimedia applications,Big Data
Citation:
Kieran Miller, Patricia Morreale, "Finding the Needle in the Image Stack: Performance Metrics for Big Data Image Analysis," IEEE Multimedia, vol. 21, no. 1, pp. 84-89, Jan.-Mar. 2014, doi:10.1109/MMUL.2014.6
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