A survey on multimedia artworks analysis and attractiveness computing in multimedia

Wei Ta Chu, Hideto Motomura, Norimichi Tsumura, Toshihiko Yamasaki

Research output: Contribution to journalReview articlepeer-review

1 Citation (Scopus)

Abstract

With the advances in digital media processing technologies and the tremendous growth in the amount of digital media that have been created, new artworks are becoming possible and drawing much attention from researchers, industry, and consumers. A related emerging research area is the evaluation of such multimedia artworks by machine learning techniques. We call this research area “attractiveness computing.” Attractiveness computing is made possible by the great accumulation of such multimedia artworks and of consumers’ responses. In this paper, we review existing research on multimedia artworks analysis and attractiveness computing.

Original languageEnglish
Pages (from-to)60-67
Number of pages8
JournalITE Transactions on Media Technology and Applications
Volume7
Issue number2
DOIs
Publication statusPublished - 2019

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Media Technology
  • Computer Graphics and Computer-Aided Design

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