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Book synopsis

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.

Book details

Book category Books in English Technology, engineering, agriculture Other technologies & applied sciences Applied optics

• Full title: Big Visual Data Analysis
• Subtitle: Scene Classification and Geometric Labeling
• Author: Chen Chen, Yuzhuo Ren, C.-C. Jay Kuo
• Language: English
• Binding: Paperback
• Number of pages: 122
• EAN: 9789811006296
• ISBN: 9811006296
• ID: 02924517
• Publisher: Springer Verlag, Singapore
• Weight: 2117 g
• Dimensions: 235 × 155 × 8 mm
• Date of publishing: 25. February 2016

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