Automatic mobile content conversion using semantic image analysis

  • Authors:

  • Eunjung Han;Jonyeol Yang;HwangKyu Yang;Keechul Jung

  • Affiliations:

  • HCI Lab., School of Media, College of Information Technology, Soongsil University, Seoul, S. Korea;HCI Lab., School of Media, College of Information Technology, Soongsil University, Seoul, S. Korea;Department of Multimedia Engineering, Dongseo University, Busan, S. Korea;HCI Lab., School of Media, College of Information Technology, Soongsil University, Seoul, S. Korea

  • Venue:
  • HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

An approach to knowledge-assisted semantic offline content re-authoring based on an automatic content conversion (ACC) ontology infrastructure is presented. Semantic concepts in the context are defined in ontology, text detection (e.g. connected component based), feature (e.g. texture homogeneity), feature parameter (e.g. texture model distribution), clustered feature (e.g. k-manes algorithm). We will show how the adaptation of the layout can facilitate browsing with mobile devices, especially small-screen mobile phones. In a second stage we address the topic of content personalization by providing a personalization scheme that is based on the ontology technology. Our experiment shows that the proposed ACC is more efficient than the existing methods in providing mobile comic contents.