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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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Chen, Chen (Author), Ren, Yuzhuo (Author), Kuo, C.-C. Jay (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:SpringerBriefs in Signal Processing,
Subjects:
Signal processing.
Computer vision.
Information visualization.
Signal, Speech and Image Processing .
Computer Vision.
Data and Information Visualization.
Online Access:Texto Completo
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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