Retrieval of Sports Video Clips Using Audio-Visual Features and Text Information
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@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 = {2024},
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 = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22849.html}
}
TY - JOUR
T1 - Retrieval of Sports Video Clips Using Audio-Visual Features and Text Information
AU -
JO - Journal of Information and Computing Science
VL - 2
SP - 101
EP - 109
PY - 2024
DA - 2024/01
SN - 1
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22849.html
KW - content-based video clip retrieval, sliding shot window, equivalence relation, matching function
AB - 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.
. (2024). Retrieval of Sports Video Clips Using Audio-Visual Features and Text Information.
Journal of Information and Computing Science. 1 (2).
101-109.
doi:
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