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Conference Paper
An Indexing Method for Spatial Object in Video using Image Processing and Photogrammetry
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- Authors
- Tae-Hyun Hwang, In-Hak Joo, Kyoung-Ho Choi
- Issue Date
- 2004-09
- Citation
- International Geoscience and Remote Sensing Symposium (IGARSS) 2004, pp.4394-9397
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- To support video-map cross-reference and bidirectional 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 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 imagebased method. The suggested method can efficiently index spatial object in video frames and support content-based retrieval of spatial object in video.
- KSP Keywords
- Bidirectional search, Content-based retrieval, Cross-reference, Efficient Indexing, Frame rate, Image processing, Image-based method, Photogrammetric solution, Spatial redundancy, object Tracking, video frames