Metadata in video databases

  • Authors:
  • Ramesh Jain;Arun Hampapur

  • Affiliations:
  • Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA;Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI

  • Venue:
  • ACM SIGMOD Record
  • Year:
  • 1994

Quantified Score

Hi-index 0.02

Visualization

Abstract

Video is composed of audio-visual information. Providing content based access to video data is essential for the sucessful integration of video into computers. Organizing video for content based access requires the use of video metadata. This paper explores the nature video metadata. A data model for video databases is presented based on a study of the applications of video, the nature of video retrieval requests, and the features of video. The data model is used in the architectural framework of a video database. The current state of technology in video databases is summarized and research issues are highlighted.