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Video database retrieval based on trajectory analysis Gu, Zhe
Abstract
The increasing volume of video motivates research on video management. Related topics include video representation, organization, query formulation and search. Much work has been done based on shot segmentation of video, however, the temporal nature of video has not been fully investigated. Our goal is to analyze the motion of objects in video, so that video can be retrieved based on objects' motion it records. We emphasize the importance of motion information in video. A two-level abstraction based on the movement of objects is proposed. The first layer describes the movement of objects with trajectory and speed curves, and the second layer abstracts the curves with geometric features. Points with maximum curvature are extracted, then, based on these points, feature values are calculated that are insensitive to planar translation, rotation and scale. Similarity of trajectories is measured by the similarity of the feature values. A similarity measurement metric with point warping is given. We implemented the R-tree as the indexing structure and specialized it to our application. The trajectory and speed curves are analyzed and the abstract feature values are organized within the R-tree structure. A QBE interface is provided, and hierarchical searching is proposed and implemented. Experiments show that video content retrieval based on motion is useful and feasible.
Item Metadata
Title |
Video database retrieval based on trajectory analysis
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
1999
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Description |
The increasing volume of video motivates research on video management.
Related topics include video representation, organization, query formulation and
search. Much work has been done based on shot segmentation of video, however, the
temporal nature of video has not been fully investigated. Our goal is to analyze the
motion of objects in video, so that video can be retrieved based on objects' motion it
records.
We emphasize the importance of motion information in video. A two-level
abstraction based on the movement of objects is proposed. The first layer describes the
movement of objects with trajectory and speed curves, and the second layer abstracts
the curves with geometric features. Points with maximum curvature are extracted,
then, based on these points, feature values are calculated that are insensitive to planar
translation, rotation and scale. Similarity of trajectories is measured by the similarity
of the feature values. A similarity measurement metric with point warping is given.
We implemented the R-tree as the indexing structure and specialized it to our
application. The trajectory and speed curves are analyzed and the abstract feature values are organized within the R-tree structure. A QBE interface is provided, and hierarchical
searching is proposed and implemented. Experiments show that video content
retrieval based on motion is useful and feasible.
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Extent |
10107362 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-06-25
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0051304
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
1999-11
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.