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Choi, Jaesik
Statistical Artificial Intelligence Lab
Research Interests
  • Artificial intelligence, machine learning, deep learning, robotics, automatic statistician, semantic segmentation, fault detection


A spatio-temporal pyramid matching for video retrieval

DC Field Value Language Choi, Jaesik ko Wang, Ziyu ko Lee, Sang-Chul ko Jeon, Won J. ko 2014-10-31T00:08:25Z - 2014-10-30 ko 2013-06 -
dc.identifier.citation COMPUTER VISION AND IMAGE UNDERSTANDING, v.117, no.6, pp.660 - 669 ko
dc.identifier.issn 1077-3142 ko
dc.identifier.uri -
dc.identifier.uri ko
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. ko
dc.description.statementofresponsibility close -
dc.language ENG ko
dc.subject High-activity videos ko
dc.subject Pyramid matching ko
dc.subject Query by video clip ko
dc.subject Spatio-temporal pyramid matching ko
dc.subject Sport videos ko
dc.subject Video retrieval ko
dc.title A spatio-temporal pyramid matching for video retrieval ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-84875480116 ko
dc.identifier.wosid 000317538500006 ko
dc.type.rims ART ko
dc.description.wostc 2 *
dc.description.scopustc 2 * 2015-05-06 * 2014-10-30 *
dc.identifier.doi 10.1016/j.cviu.2013.02.003 ko
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