rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Big Visual Data Analysis
    sub title: Scene Classification and Geometric Labeling
  name:
    name part: Chen, Chen.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Ren, Yuzhuo.
    role:
      role term: author.
  name:
    name part: Kuo, C.-C. Jay.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: si
    date issued: 2016
    edition: 1st ed. 2016.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 122 p. 94 illus., 12 illus. in color. online resource.
  abstract: 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 and synthetic color images, and extensive statistical analysis is provided to help readers visualize big visual data distribution and the associated problems. Although there has been some research on big visual data analysis, little work has been published on big image data distribution analysis using the modern statistical approach described in this book. By presenting a complete methodology on big visual data analysis with three illustrative scene comprehension problems, it provides a generic framework that can be applied to other big visual data analysis tasks.
  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.
  note: by Chen Chen, Yuzhuo Ren, C.-C. Jay Kuo.
  subject:
    topic: Engineering
  subject:
    topic: Image processing
  subject:
    topic: Mathematics
  subject:
    topic: Visualization
  subject:
    topic: Engineering
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Visualization
  classification: TK5102.9
  classification: TA1637-1638
  classification: TK7882.S65
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Electrical and Computer Engineering
  identifier: 9789811006319
  identifier: http://dx.doi.org/10.1007/978-981-10-0631-9
  record info:
    record creation date: 160224
    record change date: 20160226021440.0
    record identifier: 978-981-10-0631-9