Efficient processing of video containment queries by using composite ordinal features

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Video containment queries find the videos that have similar sequence of frames to query video clips. Applying sequence matching to all possible subsequences for video containment queries is computationally expensive for large volumes of video data. In this paper, we propose an efficient candidate segment selection scheme, which selects only a small set of subsequences to be matched to the query sequence, by using a cluster of similar frames, called a frame cluster. We also propose a new type of the ordinal feature, called a composite ordinal feature that allows multiple ranks to certain cells. In experiments with large scale video data sets, we show our method improves the query response time by efficiently selecting a set of subsequences for sequence matching.
Publisher
SPRINGER
Issue Date
2017-01
Language
English
Article Type
Article
Keywords

COPY DETECTION; SEARCH; DISTANCE; COPIES

Citation

MULTIMEDIA TOOLS AND APPLICATIONS, v.76, no.2, pp.2891 - 2910

ISSN
1380-7501
DOI
10.1007/s11042-016-3270-0
URI
http://hdl.handle.net/10203/220948
Appears in Collection
CS-Journal Papers(저널논문)
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