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: Using computer vision techniques to study images from the web
  name:
    name part: Burkhardt, Sarah
    role:
      role term: academic.
  type of resource: moving image
  genre: videorecording
  origin info:
    place:
      place term: enk
    date issued: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file (00:16:19)) : sound, colour
  abstract: Richard Rogers, PhD, professor, media studies, and Sarah Burkhardt, master's student, University of Amsterdam, discuss using computer vision techniques to study online images, including case studies, research methods, challenges faced, and lessons learned.
  table of contents: Chapter 1: Richard Rogers Introduces Computer Vision Techniques to Study Online Imagesicon angle down -- Chapter 2: Sarah Burkhardt Defines and Discusses Network Imagesicon angle down -- Chapter 3: Sarah Burkhardt Discusses and Shares a Case Study Using Computer Vision Techniques to Research Online Imagesicon angle down -- Chapter 4: Sarah Burkhardt and Richard Rogers Discusses Research Methods and Challenges Using Computer Vision Techniques to Study Online Images.
  target audience: specialized
  note: Academic, Sarah Burkhardt.
  note: Includes bibliographical references and index.
  note: Closed-captioned in English.
  subject:
    topic: Computer vision
  subject:
    topic: Image analysis
    topic: Computer programs
  subject:
    topic: Vision par ordinateur
  subject:
    topic: Analyse d'images
    topic: Logiciels
  subject:
    topic: Computer vision
  classification: TA1634 .U85 2022
  classification: 006.37
  identifier: 9781529608373
  identifier: 1529608376
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 220704
    record change date: 20240923170506.0
    record identifier: in00005496128
    language of cataloging:
      language term: eng