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: Video Segmentation and Its Applications
  name:
    name part: Ngan, King Ngi.
    role:
      role term: editor.
  name:
    name part: Li, Hongliang.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 163 p. online resource.
  abstract: Video segmentation has become one of the core areas in visual signal processing research. The objective of Video Segmentation and Its Applications is to present the latest advances in video segmentation and analysis techniques while covering the theoretical approaches, real applications and methods being developed in the computer vision and video analysis community. The book will also provide researchers and practitioners a comprehensive understanding of state-of-the-art of video segmentation techniques and a resource for potential applications and successful practice.
  table of contents: Image/Video Segmentation: Current Status, Trends and Challenges -- Image Segmentation with Eigen-subspace Projections -- Semantic Object Segmentation -- Video Scene Analysis: A Machine Learning Perspective -- Multi-view Image Segmentation and Video Tracking -- Applications of Video Segmentation -- Index.
  note: edited by King Ngi Ngan, Hongliang Li.
  subject:
    topic: Engineering
  subject:
    topic: Computer graphics
  subject:
    topic: Image processing
  subject:
    topic: Engineering
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Computer Imaging, Vision, Pattern Recognition and Graphics
  classification: TK5102.9
  classification: TA1637-1638
  classification: TK7882.S65
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781441994820
  identifier: http://dx.doi.org/10.1007/978-1-4419-9482-0
  record info:
    record creation date: 110509
    record change date: 20151204190222.0
    record identifier: 978-1-4419-9482-0