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Title of article :
A spatio-temporal pyramid matching for video retrieval
Author/Authors :
Choi، نويسنده , , Jaesik and Wang، نويسنده , , Ziyu and Lee، نويسنده , , Sang-Chul and Jeon، نويسنده , , Won J.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
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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.
Keywords :
Video retrieval , Query by video clip , High-activity videos , Pyramid matching , Sport videos , Spatio-temporal pyramid matching
Journal title :
Computer Vision and Image Understanding
Journal title :
Computer Vision and Image Understanding
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Link To Document :