Generating Comprehensible Summaries of Rushes Sequences based on Robust Feature Matching
This paper describes our first attempt at tackling a pilot task in Trecvid: video summarization of rushes data [3]. Our method is based on the tight clustering produced via SIFT matching. In this first attempt, we try to examine how our approach performs without complex implementation in terms of co...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
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Association for Computing Machinery, Inc. (ACM)
2007
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| Online Access: | http://hdl.handle.net/20.500.11937/15591 |
| _version_ | 1848748934913064960 |
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| author | Truong, Ba Venkatesh, Svetha |
| author2 | Association for Computing Machinery, Inc. (ACM) |
| author_facet | Association for Computing Machinery, Inc. (ACM) Truong, Ba Venkatesh, Svetha |
| author_sort | Truong, Ba |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper describes our first attempt at tackling a pilot task in Trecvid: video summarization of rushes data [3]. Our method is based on the tight clustering produced via SIFT matching. In this first attempt, we try to examine how our approach performs without complex implementation in terms of concept detection and excerpt assembly (i.e, no picture-in-picture, split screen and special transitions). Although we do not perform very well in terms of concept inclusion, we rank very well in terms of the summary being easy to understand and relevancy of included segments. |
| first_indexed | 2025-11-14T07:12:56Z |
| format | Conference Paper |
| id | curtin-20.500.11937-15591 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:12:56Z |
| publishDate | 2007 |
| publisher | Association for Computing Machinery, Inc. (ACM) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-155912017-09-13T13:40:20Z Generating Comprehensible Summaries of Rushes Sequences based on Robust Feature Matching Truong, Ba Venkatesh, Svetha Association for Computing Machinery, Inc. (ACM) This paper describes our first attempt at tackling a pilot task in Trecvid: video summarization of rushes data [3]. Our method is based on the tight clustering produced via SIFT matching. In this first attempt, we try to examine how our approach performs without complex implementation in terms of concept detection and excerpt assembly (i.e, no picture-in-picture, split screen and special transitions). Although we do not perform very well in terms of concept inclusion, we rank very well in terms of the summary being easy to understand and relevancy of included segments. 2007 Conference Paper http://hdl.handle.net/20.500.11937/15591 10.1145/1290031.1290036 Association for Computing Machinery, Inc. (ACM) restricted |
| spellingShingle | Truong, Ba Venkatesh, Svetha Generating Comprehensible Summaries of Rushes Sequences based on Robust Feature Matching |
| title | Generating Comprehensible Summaries of Rushes Sequences based on Robust Feature Matching |
| title_full | Generating Comprehensible Summaries of Rushes Sequences based on Robust Feature Matching |
| title_fullStr | Generating Comprehensible Summaries of Rushes Sequences based on Robust Feature Matching |
| title_full_unstemmed | Generating Comprehensible Summaries of Rushes Sequences based on Robust Feature Matching |
| title_short | Generating Comprehensible Summaries of Rushes Sequences based on Robust Feature Matching |
| title_sort | generating comprehensible summaries of rushes sequences based on robust feature matching |
| url | http://hdl.handle.net/20.500.11937/15591 |