Personalization in multimedia retrieval: A survey

  • Authors:
  • Yijuan Lu;Nicu Sebe;Ross Hytnen;Qi Tian

  • Affiliations:
  • Department of Computer Science, Texas State University, San Marcos, USA 78666;Department of Information Engineering and Computer Science, University of Trento, Trento, Italy;Department of Computer Science, Texas State University, San Marcos, USA 78666;Computer Science Department, University of Texas at San Antonio, San Antonio, USA 78249

  • Venue:
  • Multimedia Tools and Applications
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

With the explosive broadcast of multimedia (text documents, image, video etc.) in our life, how to annotate, search, index, browse and relate various forms of information efficiently becomes more and more important. Combining these challenges by relating them to user preference and customization only complicates the matter further. The goal of this survey is to give an overview of the current situation in the branches of research that are involved in annotation, relation and presentation to a user by preference. This paper will present some current models and techniques being researched to model ontology, preference, context, and presentation and bring them together in a chain of ideas that leads from raw uninformed data to an actual usable user interface that adapts with user preference and customization.