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Big Visual Data Analysis
Chen, Chen; Ren, Yuzhuo; Kuo, C.-C. Jay
€ 74.75
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Description for Big Visual Data Analysis
Paperback. Series: SpringerBriefs in Electrical and Computer Engineering. Num Pages: 132 pages, 82 black & white illustrations, 12 colour illustrations, 40 colour tables, biography. BIC Classification: PBV; TTBM; UYT. Category: (G) General (US: Trade). Dimension: 235 x 155 x 7. Weight in Grams: 215.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2016
Publisher
Springer Verlag, Singapore Singapore
Number of pages
132
Condition
New
Series
SpringerBriefs in Electrical and Computer Engineering
Number of Pages
122
Place of Publication
Singapore, Singapore
ISBN
9789811006296
SKU
V9789811006296
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Chen, Chen; Ren, Yuzhuo; Kuo, C.-C. Jay
Chen Chen received his B.S. degree in Electrical Engineering from Beijing University of Posts and Telecommunications (BUPT) in 2010. He received his M.S. degree in Electrical Engineering from University of Southern California (USC) in 2012. At the same year, he joined the Media Communication Lab led by Professor Kuo in University of Southern California (USC), where he is pursuing her ... Read more
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