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DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 669 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 660 | - |
dc.citation.title | COMPUTER VISION AND IMAGE UNDERSTANDING | - |
dc.citation.volume | 117 | - |
dc.contributor.author | Choi, Jaesik | - |
dc.contributor.author | Wang, Ziyu | - |
dc.contributor.author | Lee, Sang-Chul | - |
dc.contributor.author | Jeon, Won J. | - |
dc.date.accessioned | 2023-12-22T03:45:24Z | - |
dc.date.available | 2023-12-22T03:45:24Z | - |
dc.date.created | 2014-10-30 | - |
dc.date.issued | 2013-06 | - |
dc.description.abstract | An efficient video retrieval system is essential to search relevant video contents from a large set of video clips, which typically contain several heterogeneous video clips to match with. In this paper, we introduce a content-based video matching system that finds the most relevant video segments from video database for a given query video clip. Finding relevant video clips is not a trivial task, because objects in a video clip can constantly move over time. To perform this task efficiently, we propose a novel video matching called Spatio-Temporal Pyramid Matching (STPM). Considering features of objects in 2D space and time, STPM recursively divides a video clip into a 3D spatio-temporal pyramidal space and compares the features in different resolutions. In order to improve the retrieval performance, we consider both static and dynamic features of objects. We also provide a sufficient condition in which the matching can get the additional benefit from temporal information. The experimental results show that our STPM performs better than the other video matching methods. | - |
dc.identifier.bibliographicCitation | COMPUTER VISION AND IMAGE UNDERSTANDING, v.117, no.6, pp.660 - 669 | - |
dc.identifier.doi | 10.1016/j.cviu.2013.02.003 | - |
dc.identifier.issn | 1077-3142 | - |
dc.identifier.scopusid | 2-s2.0-84875480116 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/8052 | - |
dc.identifier.url | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84875480116 | - |
dc.identifier.wosid | 000317538500006 | - |
dc.language | 영어 | - |
dc.publisher | ACADEMIC PRESS INC ELSEVIER SCIENCE | - |
dc.title | A spatio-temporal pyramid matching for video retrieval | - |
dc.type | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Video retrieval | - |
dc.subject.keywordAuthor | Query by video clip | - |
dc.subject.keywordAuthor | High-activity videos | - |
dc.subject.keywordAuthor | Sport videos |
- |
dc.subject.keywordAuthor | Pyramid matching | - |
dc.subject.keywordAuthor | Spatio-temporal pyramid matching | - |
dc.subject.keywordPlus | CLASSIFICATION | - |
dc.subject.keywordPlus | RECOGNITION | - |
dc.subject.keywordPlus | MODELS | - |
dc.subject.keywordPlus | IMAGE | - |
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