Automatic detection of replay segments in broadcast sports programs by detection of logos in scene transitions

Hao Pan, Baoxin Li, M. Ibrahim Sezan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

78 Scopus citations

Abstract

In broadcast sports, replays provide viewers another look at interesting events. We propose an automatic algorithm for replay segment detection by detecting frames containing logos in the special scene transitions that sandwich replays. Detected replays are utilized in efficient navigation, indexing, and summarization of sports programs. The proposed algorithm first automatically determines the logo template from frames surrounding slow motion segments, where slow motion segments are automatically detected using [4]. Then, it locates all the similar frames in the video using the logo template. Finally, the algorithm identifies the replay segments by grouping the detected logo frames and slow-motion segments. Our algorithm accurately detects replays, with or without slow motion.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
StatePublished - 2002
Externally publishedYes
Event2002 IEEE International Conference on Acoustic, Speech, and Signal Processing - Orlando, FL, United States
Duration: May 13 2002May 17 2002

Other

Other2002 IEEE International Conference on Acoustic, Speech, and Signal Processing
CountryUnited States
CityOrlando, FL
Period5/13/025/17/02

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Acoustics and Ultrasonics

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  • Cite this

    Pan, H., Li, B., & Sezan, M. I. (2002). Automatic detection of replay segments in broadcast sports programs by detection of logos in scene transitions. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 4)