Method and apparatus for analyzing video based on spatiotemporal patterns
AssigneeKorea University Research and Business Foundation
InventorsSang Hoon Sull, Soon Hong Jung
Life of this patent
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Abstract
A video analysis apparatus may include a generating unit to generate at least one spatiotemporal pattern by performing pixel sampling on a plurality of frames in an input video, an extracting unit to extract at least one region of interest having a sinusoidal pattern from the at least one spatiotemporal pattern, and an analysis unit to perform a frequency analysis of the at least one region of interest to determine whether the input video includes a predetermined type of content.
Claims17
A video analysis apparatus comprising:
- a generating means to generate at least one spatiotemporal pattern by performing pixel sampling on a plurality of frames in an input video;
- a clustering means to generate a segmentation map using a first spatiotemporal pattern of the at least one spatiotemporal pattern;
- a region of interest extracting means to extract the at least one region of interest having a sinusoidal pattern from the segmentation map;
- and
- an analysis means to perform a frequency analysis of the at least one region of interest to determine whether the input video includes a predetermined type of content.
A video analysis method comprising:
- generating at least one spatiotemporal pattern by performing pixel sampling on a plurality of frames in an input video;
- generating a segmentation map using a first spatiotemporal pattern of the at least one spatiotemporal pattern;
- extracting at least one region of interest having a sinusoidal pattern from the segmentation map;
- and
- performing a frequency analysis of the at least one region of interest to determine whether the input video includes a predetermined type of content.
A non-transitory computer-readable medium comprising a program for instructing a computer to perform a video analysis method, the video analysis method comprising:
- generating at least one spatiotemporal pattern by performing pixel sampling on a plurality of frames in an input video;
- generating a segmentation map using a first partial spatiotemporal pattern of the at least one spatiotemporal pattern;
- extracting at least one region of interest having a sinusoidal pattern from the segmentation map;
- and
- performing a frequency analysis of the at least one region of interest to determine whether the input video includes a predetermined type of content.
Dependencies are inferred from the claim text.