Image for Big Visual Data Analysis

Big Visual Data Analysis : Scene Classification and Geometric Labeling

Part of the SpringerBriefs in Signal Processing series
See all formats and editions

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, outdoorscene classification, and outdoor scene layout estimation.

It is illustrated with numerous naturaland synthetic color images,and extensive statistical analysis is provided to help readers visualize big visualdata distribution and the associatedproblems.

Although therehas been some research on big visual data analysis, little workhas been published on big image data distribution analysis using the modernstatistical approach described in thisbook.

By presenting a complete methodology on big visual data analysis withthree illustrative scene comprehensionproblems, it provides ageneric framework that canbe applied to other big visual data analysis tasks.

Read More
Special order line: only available to educational & business accounts. Sign In
£35.99 Save 20.00%
RRP £44.99
Product Details
Springer Verlag, Singapore
9811006296 / 9789811006296
Paperback / softback
03/03/2016
Singapore
English
122 pages : illustrations (colour)
24 cm