Big Visual Data Analysis: Scene Classification and Geometric Labeling

This book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene comprehension problems, indoor/outdoor classification, outdoor

scene classification, and outdoor scene layout estimation. It is illustrated with numerous natural

and synthetic color images,

and extensive statistical analysis is provided to help readers visualize big visual

data distribution and the associated

problems. Although there

has been some research on big visual data analysis, little work

has been published on big image data distribution analysis using the modern

statistical approach described in this

book. By presenting a complete methodology on big visual data analysis with

three illustrative scene comprehension

problems, it provides a

generic framework that can

be applied to other big visual data analysis tasks.