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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...

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Main Authors: Chen, Chen. (Author, http://id.loc.gov/vocabulary/relators/aut), Ren, Yuzhuo. (http://id.loc.gov/vocabulary/relators/aut), Kuo, C.-C. Jay. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:SpringerBriefs in Signal Processing,
Subjects:
Signal processing.
Image processing.
Speech processing systems.
Optical data processing.
Mathematics.
Visualization.
Signal, Image and Speech Processing.
Image Processing and Computer Vision.
Online Access:https://doi.org/10.1007/978-981-10-0631-9
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.

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