Häftad, Engelska, 2016
Big Visual Data Analysis
Av Chen Chen, Yuzhuo Ren, C.-C. Jay Kuo
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Beskrivning
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.
Produktinformation
- Utgivningsdatum: 2016-03-03
- Mått: 155 x 235 x 11 mm
- Vikt: 222 g
- Format: Häftad
- Språk: Engelska
- Serie: SpringerBriefs in Electrical and Computer Engineering
- Antal sidor: 122
- Upplaga: 16001
- Förlag: Springer Verlag, Singapore
- ISBN: 9789811006296
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