A study of discriminant visual descriptors for sport video shot boundary detection
© 2015 IEEE.Video shot boundary detection is the process of automatically detecting the meaningful boundary content in video. Most shot boundary categorisation techniques use features extracted from the video frames to highlight the transition points between meaningful scenes. In this paper, a combi...
| Main Authors: | , , , |
|---|---|
| Format: | Conference Paper |
| Published: |
2015
|
| Online Access: | http://hdl.handle.net/20.500.11937/51962 |
| _version_ | 1848758809855524864 |
|---|---|
| author | Tippaya, S. Tan, Tele Khan, M. Chamnongthai, K. |
| author_facet | Tippaya, S. Tan, Tele Khan, M. Chamnongthai, K. |
| author_sort | Tippaya, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2015 IEEE.Video shot boundary detection is the process of automatically detecting the meaningful boundary content in video. Most shot boundary categorisation techniques use features extracted from the video frames to highlight the transition points between meaningful scenes. In this paper, a combination of global and local feature descriptors is proposed to represent the temporal characteristic in video. Motivated by the practical applications with moderate computational time, a video shot boundary detection scheme using supervised learning is proposed. The performance evaluation is constructed on a golf video dataset using the precision and recall performance measures. |
| first_indexed | 2025-11-14T09:49:54Z |
| format | Conference Paper |
| id | curtin-20.500.11937-51962 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:49:54Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-519622017-09-13T15:40:23Z A study of discriminant visual descriptors for sport video shot boundary detection Tippaya, S. Tan, Tele Khan, M. Chamnongthai, K. © 2015 IEEE.Video shot boundary detection is the process of automatically detecting the meaningful boundary content in video. Most shot boundary categorisation techniques use features extracted from the video frames to highlight the transition points between meaningful scenes. In this paper, a combination of global and local feature descriptors is proposed to represent the temporal characteristic in video. Motivated by the practical applications with moderate computational time, a video shot boundary detection scheme using supervised learning is proposed. The performance evaluation is constructed on a golf video dataset using the precision and recall performance measures. 2015 Conference Paper http://hdl.handle.net/20.500.11937/51962 10.1109/ASCC.2015.7244609 restricted |
| spellingShingle | Tippaya, S. Tan, Tele Khan, M. Chamnongthai, K. A study of discriminant visual descriptors for sport video shot boundary detection |
| title | A study of discriminant visual descriptors for sport video shot boundary detection |
| title_full | A study of discriminant visual descriptors for sport video shot boundary detection |
| title_fullStr | A study of discriminant visual descriptors for sport video shot boundary detection |
| title_full_unstemmed | A study of discriminant visual descriptors for sport video shot boundary detection |
| title_short | A study of discriminant visual descriptors for sport video shot boundary detection |
| title_sort | study of discriminant visual descriptors for sport video shot boundary detection |
| url | http://hdl.handle.net/20.500.11937/51962 |