Efficient temporal segmentation for sports programs with special cases

  • Authors:

  • Shiguo Lian;Yuan Dong;Haila Wang

  • Affiliations:

  • France Telecom, Orange Labs Beijing, Beijing, China;Beijing University of Posts and Telecommunications, Beijing, China;France Telecom, Orange Labs Beijing, Beijing,

  • Venue:
  • PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

In sports programs, there are many special cases making shot boundary detection difficult. Targeted for these special cases, not be considered by existing work, this paper presents a shot boundary detection scheme to detect both cuts and gradual transition efficiently. For shot detection, the algorithm is proposed to resist continuous flashes, camera occlusion or image blur that have not been considered before. For gradual transition detection, a unified method is presented to detect various transitions or special effects, together with an algorithm to reduce the false positives caused by fast camera or object motions. The cut detection and gradual transition detection are implemented serially to avoid repeated detection operations. Compared with existing typical works, the proposed scheme obtains higher correct detection rate and fast detection speed, and is more suitable for sports program analysis.