Guest Editorial: Computer Vision for the Creative Industries

Journal article

Open access

Peer reviewed

Anil Kokaram, Adrian Douglas Mark Hilton, Graham Thomas and Francois Pitie

IET computer vision, Vol.14(6), pp.289-290

01/09/2020

Abstract

Computer Science, Artificial Intelligence

Engineering, Electrical & Electronic

Science & Technology

Computer Science

Engineering

Technology

url

https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-cvi.2020.0536View

Published (Version of record) Open

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Title: Guest Editorial: Computer Vision for the Creative Industries
Creators: Anil Kokaram - Trinity Coll Dublin, Elect, Dublin, Ireland
Adrian Douglas Mark Hilton - University of Surrey, Centre for Vision, Speech & Signal Processing (CVSSP)
Graham Thomas - Inst Engn & Technol, London, England
Francois Pitie - Trinity College Dublin
Publication Details: IET computer vision, Vol.14(6), pp.289-290
Publisher: Inst Engineering Technology-Iet
Number of pages: 2
Date published: 01/09/2020
Identifiers: 99822198402346
Academic Unit: School of Computer Science and Electronic Engineering
Language: English
Resource Type: Journal article