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Proceedings Paper

Play estimation with motions and textures with automatic generation of template space-time map
Author(s): Kyota Aoki; Ryo Aita; Takuro Fukiba
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Paper Abstract

It is easy to retrieve the small size parts from small videos. It is also easy to retrieve the middle size part from large videos. However, we have difficulties to retrieve the small size parts from large videos. We have large needs for estimating plays in sport videos. Plays in sports are described as the motions of players. This paper proposes the play retrieving method based on both motion compensation vectors and normal color frames in MPEG sports videos. This work uses the 1-dimensional degenerated descriptions of each motion image between two adjacent frames. Connecting the 1-dimensional degenerated descriptions on time direction, we have the space-time map. This spacetime map describes a sequence of frames as a 2-dimensional image. Using this space-time map on motion compensation vector frames and normal color frames, this work shows the method to create a new better template from a single template for retrieving a small number of plays in a huge number of frames. In an experiment, the resulting F-measure marks 0.955.

Paper Details

Date Published: 6 July 2015
PDF: 7 pages
Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96311K (6 July 2015); doi: 10.1117/12.2197031
Show Author Affiliations
Kyota Aoki, Utsunomiya Univ. (Japan)
Ryo Aita, Utsunomiya Univ. (Japan)
Takuro Fukiba, Utsunomiya Univ. (Japan)


Published in SPIE Proceedings Vol. 9631:
Seventh International Conference on Digital Image Processing (ICDIP 2015)
Charles M. Falco; Xudong Jiang, Editor(s)

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