Big Visual Data Analysis : Scene Classification and Geometric Labeling PDF
by Chen Chen, Yuzhuo Ren, C.-C. Jay Kuo
Part of the SpringerBriefs in Electrical and Computer Engineering series
Description
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.
Information
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Download - Immediately Available
- Format:PDF
- Publisher:Springer Nature Singapore
- Publication Date:24/02/2016
- Category:
- ISBN:9789811006319
Other Formats
- Paperback / softback from £37.09
Information
-
Download - Immediately Available
- Format:PDF
- Publisher:Springer Nature Singapore
- Publication Date:24/02/2016
- Category:
- ISBN:9789811006319
