An effective audio-visual information based framework for extracting highlights in basketball games

Guangyu Gao*, Huadong Ma, He Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Recently, extracting highlights in the sports videos has been paid much attention. This paper proposes a hierarchical extracting model to extract the highlights in the basketball games based on the audio-visual features. Firstly, the unrelated scenes (studio scenes, Ad scenes) are removed by detecting music sound and analyzing scene background's stableness. Then, the clips which the audiences pay more attention to are marked by detecting the keywords and exciting sounds in the audio clues and the score changing in the visual clues. We do a series of experiments to evaluate the proposed method, and the experimental results show that our method can work well.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2009 - 10th Pacific Rim Conference on Multimedia, Proceedings
Pages767-776
Number of pages10
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event10th Pacific Rim Conference on Multimedia, PCM 2009 - Bangkok, Thailand
Duration: 15 Dec 200918 Dec 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5879 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th Pacific Rim Conference on Multimedia, PCM 2009
Country/TerritoryThailand
CityBangkok
Period15/12/0918/12/09

Keywords

  • Audio-visual features
  • Basketball
  • Highlight extraction
  • Score bar

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