Big Visual Data Analysis : Scene Classification and Geometric Labeling
1st ed. 2016
Book Details
Format
Paperback / Softback
ISBN-10
9811006296
ISBN-13
9789811006296
Edition
1st ed. 2016
Publisher
Springer Verlag, Singapore
Imprint
Springer Verlag, Singapore
Country of Manufacture
SG
Country of Publication
GB
Publication Date
Mar 3rd, 2016
Print length
122 Pages
Weight
222 grams
Dimensions
15.30 x 23.40 x 1.10 cms
Product Classification:
Electronics engineeringComputer visionSignal processingInformation visualization
Ksh 8,100.00
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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.
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.
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