@Article{JICS-1-101, author = {}, title = {Retrieval of Sports Video Clips Using Audio-Visual Features and Text Information}, journal = {Journal of Information and Computing Science}, year = {2006}, volume = {1}, number = {2}, pages = {101--109}, abstract = { Video  clip  retrieval  plays  a  critical  role  in  the  content-based  sports  video  retrieval.  This  paper proposes a content-based retrieval strategy of sports video clip in which visual and auditory features and text information are extracted to locate similar video clips. Because in sports game play scenes are concerned and interested  for  most  audiences,  a  long  sport  video  is  first  automatically  segmented  into  play  segments  and time-out  segments  based  on  audio  feature  in  compressed  domain.  And  then  we  obtain  similar  video  clips based  on  sliding  shot  window  algorithm  and  equivalence  relation  theory.  Finally  similar  video  clips  are ranked  by  visual  factor  and  order  factor  in  terms  of  longest  common  sequence  (LCS).  The  experimental results  showed  that  the  proposed  method  could  effectively  and  efficiently  retrieve  similar  video  clips corresponding with a query clip in a sports video of TV program. }, issn = {3080-180X}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22849.html} }