Semantic Scenes Classification of Sports News Video for Sports Genre Analysis

스포츠 장르 분석을 위한 스포츠 뉴스 비디오의 의미적 장면 분류

  • 송미영 (수원여자대학 멀티미디어통신과)
  • Published : 2007.05.30

Abstract

Anchor-person scene detection is of significance for video shot semantic parsing and indexing clues extraction in content-based news video indexing and retrieval system. This paper proposes an efficient algorithm extracting anchor ranges that exist in sports news video for unit structuring of sports news. To detect anchor person scenes, first, anchor person candidate scene is decided by DCT coefficients and motion vector information in the MPEG4 compressed video. Then, from the candidate anchor scenes, image processing method is utilized to classify the news video into anchor-person scenes and non-anchor(sports) scenes. The proposed scheme achieves a mean precision and recall of 98% in the anchor-person scenes detection experiment.