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

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3 Author(s)
Tae-Hyun Hwang ; Electron. & Telecommun. Res. Inst., Daejon ; In-Hak Joo ; Kyoung-Ho Choi

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

Published in:

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International  (Volume:7 )

Date of Conference:

20-24 Sept. 2004