Big Visual Data Analysis is popular PDF and ePub book, written by Chen Chen in 2016-02-24, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Big Visual Data Analysis can be Read Online from any device for your convenience.
Big Visual Data Analysis Book PDF Summary
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.
Detail Book of Big Visual Data Analysis PDF
- Author : Chen Chen
- Release : 24 February 2016
- Publisher : Springer
- ISBN : 9789811006319
- Genre : Technology & Engineering
- Total Page : 128 pages
- Language : English
- PDF File Size : 19,8 Mb
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