Content-based image and video indexing and retrieval

  • Authors:

  • Hong Lu;Xiangyang Xue;Yap-Peng Tan

  • Affiliations:

  • Shanghai Key Laboratory of Intelligent Information Processing, Department of Computer Science & Engineering, Fudan University, Shanghai, China;Shanghai Key Laboratory of Intelligent Information Processing, Department of Computer Science & Engineering, Fudan University, Shanghai, China;School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore

  • Venue:
  • Proceedings of the 2005 joint Chinese-German conference on Cognitive systems
  • Year:
  • 2005

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Abstract

This paper surveys some of the existing techniques and systems for content-based indexing and retrieval of two main types of multimedia data - images and videos. Furthermore, some of our recent work are reported. Specifically, in content-based image retrieval, we have proposed multi-scale color histograms by incorporating color and spatial information. In content-based video retrieval, we have proposed a new level of program between story/event and video sequence levels. Video summarization results are given based on the scene clustering results.