标题: Robust video sequence retrieval using a novel object-based T2D-histogram descriptor
作者: Chen, DY
Lee, SY
Liao, HYM
资讯工程学系
Department of Computer Science
关键字: motion activity;spatio-temporal feature description;video sequence matching;discrete cosine transform;video similarity measure
公开日期: 1-四月-2005
摘要: Due to the tremendous growth in the number of digital videos, the development of video retrieval algorithms that can perform efficient and effective retrieval task is indispensable. In this paper, we propose a high-level motion activity descriptor, object-based transformed 2D-histogram (T2D-histogram), which exploits both spatial and temporal features to characterize video sequences in a semantics-based manner. The discrete cosine transform (DCT) is applied to convert the object-based 2D-histogram sequences from the time domain to the frequency domain. Using this transform, the original high-dimensional time domain features used to represent successive frames are significantly reduced to a set of low-dimensional features in frequency domain. The energy concentration property of DCT allows us to use only a few DCT coefficients to effectively capture the variations of moving objects. Having the efficient scheme for video representation, one can perform video retrieval in an accurate and efficient way. (c) 2004 Elsevier Inc. All rights reserved.
URI: http://dx.doi.org/10.1016/j.jvcir.2004.08.003
http://hdl.handle.net/11536/13884
ISSN: 1047-3203
DOI: 10.1016/j.jvcir.2004.08.003
期刊: JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
Volume: 16
Issue: 2
起始页: 212
结束页: 232
显示于类别:Articles


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