Librería Portfolio

Presents a comprehensive big visual data analysis methodology that helps readers understand the topic quickly and fully
Includes abundant insightful data analysis results and comparisons that can be used for other related computer-vision tasks such as scene analysis and image comprehension
Provides source codes of data analysis applications (indoor/outdoor classification and vanishing point detection) so that readers can test the algorithms and develop more advanced applications
Written by leading experts in the field



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.