An indexing method for spatial object in video using image processing and photogrammetry

To support video-map cross-reference and bi-directional search, it is necessary to index spatial object with regard to each video frame. However, it costs a great deal of effort to index spatial objects in all frames of video whose frame rate is about 30 frames/second. Therefore, we index spatial ob...

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Hauptverfasser: HWANG, Tae-Hyun, JOO, In-Hak, CHOI, Kyoung-Ho
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description To support video-map cross-reference and bi-directional search, it is necessary to index spatial object with regard to each video frame. However, it costs a great deal of effort to index spatial objects in all frames of video whose frame rate is about 30 frames/second. Therefore, we index spatial object only about 1 random frame per second, and index the spatial object in other frames by interpolation. However, when processing video frames with 1-second interval, the low spatial redundancy of spatial objects in the video makes the indexing of spatial objects difficult because object tracking is nearly impossible only with image-based method. In this paper, we devise an efficient indexing method for spatial objects in video frame, by combining photogrammetric solution with image-based method. The suggested method can efficiently index spatial object in video frames and support content-based retrieval of spatial object in video
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subjects Applied geophysics
Content based retrieval
Costs
Data mining
Earth sciences
Earth, ocean, space
Exact sciences and technology
Geographic Information Systems
Image processing
Indexing
Information retrieval
Internal geophysics
Interpolation
Joining processes
MPEG 7 Standard
title An indexing method for spatial object in video using image processing and photogrammetry
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