A Novel Anchorperson Detection Algorithm Based on Spatio-temporal Slice

  • Authors:
  • Anan Liu;Sheng Tang;Yongdong Zhang;Jintao Li;Zhaoxuan Yang

  • Affiliations:
  • Tianjin University, China/ Chinese Academy of Sciences, China;Chinese Academy of Sciences, China;Chinese Academy of Sciences, China;Chinese Academy of Sciences, China;Tianjin University, China

  • Venue:
  • ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
  • Year:
  • 2007

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Abstract

For conveniently navigating and editing the news programs, it is very important to segment the video into meaningful units. The effective indexing of news videos can be fulfilled by the anchorperson shot because it is an indicator which denotes the occurrence of upcoming news stories. The paper presents a novel anchorperson detection algorithm based on spatio-temporal slice (STS). With STS pattern analysis, clustering and decision fusion, anchorperson shots can be detected for browsing news video. The large-scale experimental results demonstrate that the algorithm is accurate, robust and effective.