Title :
Plays from Motions for Baseball Video Retrieval
Author_Institution :
Dept. of Inf. Syst. Sci., Utsunomiya Univ., Utsunomiya, Japan
Abstract :
There are many videos about sports. There is a large need for content-based video retrievals. In sports videos, the motions and camera works have much information about shots and plays. This paper proposes the same play retrieval method using the similar motion retrieval on videos. We can retrieve the similar motion parts based on motions shown in videos using the space-time images describing the motions. Using a finite state model of a play, we can retrieve the precise point of pitches from the pattern of estimated typical motions. This paper describes the method and the experimental results.
Keywords :
content-based retrieval; motion estimation; video retrieval; baseball video retrieval; content-based video retrievals; motion play; motion retrieval; space-time images; Cameras; Computer applications; Content based retrieval; Games; Image retrieval; Machine assisted indexing; Motion estimation; State estimation; Strips; Videoconference; 1-dimensional projection; motion estimation; play from motion; similar motion; video retrieval;
Conference_Titel :
Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
Conference_Location :
Bali Island
Print_ISBN :
978-1-4244-6079-3
Electronic_ISBN :
978-1-4244-6080-9
DOI :
10.1109/ICCEA.2010.61