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: Quantifying Aesthetics of Visual Design Applied to Automatic Design
  name:
    name part: Jahanian, Ali.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 137 p. 45 illus., 42 illus. in color. online resource.
  abstract: In this thesis, the author makes several contributions to the study of design of graphical materials. The thesis begins with a review of the relationship between design and aesthetics, and the use of mathematical models to capture this relationship. Then, a novel method for linking linguistic concepts to colors using the Latent Dirichlet Allocation Dual Topic Model is proposed. Next, the thesis studies the relationship between aesthetics and spatial layout by formalizing the notion of visual balance. Applying principles of salience and Gaussian mixture models over a body of about 120,000 aesthetically rated professional photographs, the author provides confirmation of Arnhem's theory about spatial layout. The thesis concludes with a description of tools to support automatically generating personalized design. Nominated as an outstanding Ph.D. thesis by Purdue University, USA Focuses on the automatic design of visual media and the quantification of such designs' aesthetics Tackles the understanding of visual design concepts and principles to create solutions and interactions for users who are part of the design creation system Proposes approaches toward understanding design thinking in design of self-publishing media.
  table of contents: Introduction -- On The Legitimacy Of Quantifying Aesthetics -- Design Mining Color Semantics -- Design Mining Visual Balance -- Automatic Design Of Self-Published Media: A Case Study Of Magazine Covers -- Recommendation System For Automatic Design.
  note: by Ali Jahanian.
  subject:
    topic: Physics
  subject:
    topic: Computational linguistics
  subject:
    topic: Electronic circuits
  subject:
    topic: Optical materials
  subject:
    topic: Electronic materials
  subject:
    topic: Physics
  subject:
    topic: Electronic Circuits and Devices
  subject:
    topic: Optical and Electronic Materials
  subject:
    topic: Computational Linguistics
  classification: TK7867-7867.5
  classification: 621.3815
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Theses, Recognizing Outstanding Ph.D. Research
  identifier: 9783319314860
  identifier: http://dx.doi.org/10.1007/978-3-319-31486-0
  record info:
    record creation date: 160620
    record change date: 20160620065330.0
    record identifier: 978-3-319-31486-0