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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Detaylı Bibliyografya
Asıl Yazarlar: Chen, Chen (Yazar), Ren, Yuzhuo (Yazar), Kuo, C.-C. Jay (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Singapore : Springer Nature Singapore : 2016.
Imprint: Springer,
Edisyon:1st ed. 2016.
Seri Bilgileri:SpringerBriefs in Signal Processing,
Konular:
Signal processing.
Computer vision.
Information visualization.
Signal, Speech and Image Processing.
Computer Vision.
Data and Information Visualization.
Online Erişim:Full-text access
İçindekiler:
  • 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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