Big Visual Data Analysis Scene Classification and Geometric Labeling
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...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2016, 2016
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| Edition: | 1st ed. 2016 |
| Series: | SpringerBriefs in Signal Processing
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- Scene Understanding Datasets
- Indoor/Outdoor classification with Multiple Experts
- Outdoor Scene Classification Using Labeled Segments
- Global-Attributes Assisted Outdoor Scene Geometric Labeling
- Conclusion and Future Work