Systems and methods for video archive and data extraction
Systems and methods for full motion video search are provided. In one aspect, a method includes receiving one or more search terms. The search terms include one or more of a characterization of the amount of man-made features in a video image and a characterization of the amount of natural features in the video image. The method further includes searching a full motion video database based on the one or more search terms.
1. A method of accessing full motion video data stored in a geospatial video database supporting search capabilities and having a dimension of time, the method comprising:
performing a spatial query of the video database; and
filtering results of the query by time,
wherein the full motion video data is stored in the geospatial video database within a cell tree having a time interval in which the data exists.
2. The method of claim 1 , wherein the spatial query is based on one or more search terms.
3. The method of claim 2 , wherein the one or more search terms comprise one or more characteristics of an amount of man-made features in a scene.
4. The method of claim 3 , wherein the one or more search terms further comprise one or more characteristics of an amount of natural features in the scene.
5. The method of claim 1 , further comprising identifying one or more buildings in at least a portion of the video database.
6. The method of claim 5 , further comprising identifying one or more of a size, color, shape solidity, rooftop lack of detail, strong edges, or cast shadows of the identified one or more buildings.
7. The method of claim 1 , further comprising receiving a full motion video search request, wherein the search request indicates one or more of a building size, building color, building geo-location attributes, building shape, a building rooftop detail, a building edge characterization, or a building cast shadow characterization, and performing the spatial query based on the search request.
8. The method of claim 1 , wherein the one or more search terms comprise one or more characteristics of an amount of natural features in a scene.
9. The method of claim 1 , wherein the full motion video data is stored in the geospatial video database with the dimension of time.
10. The method of claim 1 , wherein the time interval is a week long.
11. The method of claim 10 , wherein if the spatial query crosses the week long time interval boundaries, the spatial query is performed on each overlapped cell tree.
12. The method of claim 1 , wherein if the spatial query crosses the time interval boundaries, the spatial query is performed on each overlapped cell tree.