Extracting representative motion flows for effective video retrieval

Zhao, Zhe, Cui, Bin, Cong, Gao, Huang, Zi and Shen, Heng Tao (2012) Extracting representative motion flows for effective video retrieval. Multimedia Tools and Applications, 58 3: 687-711. doi:10.1007/s11042-011-0763-8

Author Zhao, Zhe
Cui, Bin
Cong, Gao
Huang, Zi
Shen, Heng Tao
Title Extracting representative motion flows for effective video retrieval
Journal name Multimedia Tools and Applications   Check publisher's open access policy
ISSN 1380-7501
Publication date 2012-06-01
Year available 2011
Sub-type Article (original research)
DOI 10.1007/s11042-011-0763-8
Open Access Status Not Open Access
Volume 58
Issue 3
Start page 687
End page 711
Total pages 25
Place of publication New York, United States
Publisher Springer
Language eng
Abstract In this paper, we propose a novel motion-based video retrieval approach to find desired videos from video databases through trajectory matching. The main component of our approach is to extract representative motion features from the video, which could be broken down to the following three steps. First, we extract the motion vectors from each frame of videos and utilize Harris corner points to compensate the effect of the camera motion. Second, we find interesting motion flows from frames using sliding window mechanism and a clustering algorithm. Third, we merge the generated motion flows and select representative ones to capture the motion features of videos. Furthermore, we design a symbolic based trajectory matching method for effective video retrieval. The experimental results show that our algorithm is capable to effectively extract motion flows with high accuracy and outperforms existing approaches for video retrieval.
Keyword Video retrieval
Content feature
Motion flow
Trajectory matching
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online 24 February 2011

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2012 Collection
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 1 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 1 times in Scopus Article | Citations
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Created: Tue, 16 Aug 2011, 03:06:16 EST by Dr Heng Tao Shen on behalf of School of Information Technol and Elec Engineering