A Novel Key-Frame Extraction Approach for Both Video Summary and Video Index
Existing key-frame extraction methods are basically video summary oriented; yet the index task of key-frames is ignored. This paper presents a novel key-frame extraction approach which can be available for both video summary and video index. First a dynamic distance separability algorithm is advance...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/695168 |
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| _version_ | 1850176072023277568 |
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| author | Shaoshuai Lei Gang Xie Gaowei Yan |
| author_facet | Shaoshuai Lei Gang Xie Gaowei Yan |
| author_sort | Shaoshuai Lei |
| collection | DOAJ |
| description | Existing key-frame extraction methods are basically video summary oriented; yet the index task of key-frames is ignored. This paper presents a novel key-frame extraction approach which can be available for both video summary and video index. First a dynamic distance separability algorithm is advanced to divide a shot into subshots based on semantic structure, and then appropriate key-frames are extracted in each subshot by SVD decomposition. Finally, three evaluation indicators are proposed to evaluate the performance of the new approach. Experimental results show that the proposed approach achieves good semantic structure for semantics-based video index and meanwhile produces video summary consistent with human perception. |
| format | Article |
| id | doaj-art-ba6bf6bd2f28443c88c5955855d1d59d |
| institution | OA Journals |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-ba6bf6bd2f28443c88c5955855d1d59d2025-08-20T02:19:21ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/695168695168A Novel Key-Frame Extraction Approach for Both Video Summary and Video IndexShaoshuai Lei0Gang Xie1Gaowei Yan2Taiyuan University of Technology, No. 79 West Yingze Avenue, Taiyuan, Shanxi 030024, ChinaTaiyuan University of Technology, No. 79 West Yingze Avenue, Taiyuan, Shanxi 030024, ChinaTaiyuan University of Technology, No. 79 West Yingze Avenue, Taiyuan, Shanxi 030024, ChinaExisting key-frame extraction methods are basically video summary oriented; yet the index task of key-frames is ignored. This paper presents a novel key-frame extraction approach which can be available for both video summary and video index. First a dynamic distance separability algorithm is advanced to divide a shot into subshots based on semantic structure, and then appropriate key-frames are extracted in each subshot by SVD decomposition. Finally, three evaluation indicators are proposed to evaluate the performance of the new approach. Experimental results show that the proposed approach achieves good semantic structure for semantics-based video index and meanwhile produces video summary consistent with human perception.http://dx.doi.org/10.1155/2014/695168 |
| spellingShingle | Shaoshuai Lei Gang Xie Gaowei Yan A Novel Key-Frame Extraction Approach for Both Video Summary and Video Index The Scientific World Journal |
| title | A Novel Key-Frame Extraction Approach for Both Video Summary and Video Index |
| title_full | A Novel Key-Frame Extraction Approach for Both Video Summary and Video Index |
| title_fullStr | A Novel Key-Frame Extraction Approach for Both Video Summary and Video Index |
| title_full_unstemmed | A Novel Key-Frame Extraction Approach for Both Video Summary and Video Index |
| title_short | A Novel Key-Frame Extraction Approach for Both Video Summary and Video Index |
| title_sort | novel key frame extraction approach for both video summary and video index |
| url | http://dx.doi.org/10.1155/2014/695168 |
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