Automatic video segmentation and tracking for content-based applications

  • Authors:
  • Hongliang Li;King N. Ngan

  • Affiliations:
  • Chinese Univ. of Hong Kong, Shatin;-

  • Venue:
  • IEEE Communications Magazine
  • Year:
  • 2007

Quantified Score

Hi-index 0.25

Visualization

Abstract

Advanced multimedia applications have to provide content-related functionalities such as search and retrieval of meaningful objects, detection and analysis of events, and understanding of scenes, which allow the user to access and manipulate the multimedia content with greater flexibility. This greatly depends on automatic techniques for extracting such objects from multimedia data. In this article we intend to provide a tutorial on the state-of-the-art in video segmentation and tracking technology with particular attention paid to the recent developments in attention-based object extraction. Performance results are included to highlight this emerging technology