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A method for managing video segments from an aerial sensor platform using a media asset management system includes collecting the video segments from the aerial sensor platform, associating corresponding geospatial data with each video segment, and creating a search thesaurus including search descri

A method for managing video segments from an aerial sensor platform using a media asset management system includes collecting the video segments from the aerial sensor platform, associating corresponding geospatial data with each video segment, and creating a search thesaurus including search descriptors with cross-references therebetween. At least one respective search descriptor from the search thesaurus is associated with each video segment. The method further includes storing each video segment, its geospatial data and its at least one search descriptor on the media asset management system for later search and retrieval, such as by a surveillance organization. The search descriptors may be geospatial search descriptors that are cross-referenced in a hierarchical relationship.

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1. A method for managing video segments from an aerial sensor platform using a media asset management system comprising a single search engine, the method comprising: collecting the video segments from the aerial sensor platform;associating corresponding geospatial data with each collected video seg

1. A method for managing video segments from an aerial sensor platform using a media asset management system comprising a single search engine, the method comprising: collecting the video segments from the aerial sensor platform;associating corresponding geospatial data with each collected video segment;creating, by the media asset management system, a search thesaurus comprising a plurality of search descriptors cross-referenced to one another, the search descriptors being linked together by a hierarchical relationship, an associative relationship and an equivalence relationship;the hierarchical relationship being defined by search descriptors comprising broader and narrower terms linked together, the associative relationship being defined by search descriptors comprising terms that are linked with similar or related terms where the relationship between the terms is non-hierarchical, and the equivalence relationship comprising synonyms;associating at least one respective search descriptor from the search thesaurus with each collected video segment;storing the collected video segments, associated geospatial data and associated search descriptors on the media asset management system;providing at least one user search query to the single search engine, with the at least one user search query including geospatial data;identifying by the single search engine, prior to searching the stored video segments, at least one additional search query based on comparing the at least one received user search query with the created search thesaurus;searching by the single search engine the stored video segments based upon the at least one generated user search query and the at least one identified additional search query, with the at least one generated user search query and the at least one identified additional search query both being used in the same search; andretrieving at least one stored video segment and at least one map based on the searching, with the at least one retrieved video segment corresponding to the at least one received user search query and the at least one identified additional search query, and with the at least one retrieved map corresponding to the associated geospatial data of the at least one retrieved video segment. 2. A method according to claim 1 wherein the aerial sensor platform comprises an unmanned aerial vehicle. 3. A method according to claim 1 wherein collecting the video segments and associating the corresponding geospatial data are performed using a geospatial video recorder. 4. A method according to claim 1 wherein the geospatial data comprises latitude and longitude. 5. A method according to claim 1 wherein the plurality of search descriptors comprise a plurality of geospatial search descriptors. 6. A method according to claim 1 further comprising associating content data with the video segments. 7. A method according to claim 6 wherein the content data comprises a date and a time each video segment was collected. 8. A method according to claim 6 wherein the content data comprises at least one of a topic, a location term, a landmark and an event. 9. A method according to claim 1 further comprising associating textual data with the video segments. 10. A method according to claim 9 wherein associating textual data with the video segments comprises transcribing audio from the video segments into text. 11. A method according to claim 1 wherein the media asset management system is web based. 12. A method according to claim 1 wherein the video segments are stored in both a low resolution mode and a high resolution mode. 13. A method according to claim 1 further comprising playing back the at least one retrieved video segment while displaying the at least one retrieved map corresponding to its geospatial data. 14. A method according to claim 13 further comprising analyzing the at least one retrieved video segment using a scene detection algorithm. 15. A method according to claim 1 further comprising: selecting a geographical area of interest on a map display, with the at least one retrieved video segment corresponding to the selected geographical area of interest. 16. A method for searching and retrieving video segments from an aerial sensor platform stored on a media asset management system comprising a single search engine, the media asset management system also having stored thereon a geospatial search thesaurus comprising a plurality of geospatial search descriptors cross-referenced to one another, and each video segment having corresponding geospatial data associated therewith and also having at least one respective geospatial search descriptor from the geospatial search thesaurus associated therewith, the method comprising: generating at least one user search query, the at least one user search query including geospatial data;identifying, by the single search engine and prior to searching the stored video segments, at least one additional search query based on comparing the at least one user search query with the geospatial search thesaurus, the comparing being based on the plurality of search descriptors, with the hierarchical relationship being defined by search descriptors comprising broader and narrower terms linked together, the associative relationship being defined by search descriptors comprising terms that are linked with similar or related terms where the relationship between the terms is non-hierarchical, and with the equivalence relationship comprising synonyms;searching by the single search engine the stored video segments based upon the at least one generated user search query and the at least one identified additional search query, with the at least one generated user search query and the at least one identified additional search query being used in the same search; andretrieving, by the single search engine, at least one video segment and at least one map based on the searching, with the at least one retrieved video segment corresponding to the at least one generated user search query and the at least one identified additional search query, and with the at least one retrieved map corresponding to the associated geospatial data of the at least one retrieved video segment. 17. A method according to claim 16 wherein the aerial sensor platform comprises an unmanned aerial vehicle. 18. A method according to claim 16 wherein the geospatial data comprises latitude and longitude. 19. A method according to claim 16 wherein content data is associated with the video segments. 20. A method according to claim 19 wherein the content data comprises a date and a time each video segment was collected. 21. A method according to claim 19 wherein the content data comprises at least one of a topic, a location term, a landmark and an event. 22. A method according to claim 16 wherein textual data is associated with the video segments, wherein the textual data is created by transcribing audio from the video segments. 23. A method according to claim 16 wherein the video segments are stored in both a low resolution mode and a high resolution mode. 24. A method according to claim 16 wherein the media asset management system is web based. 25. A method according to claim 16 further comprising playing back the at least one retrieved video segment while displaying the at least one retrieved map corresponding to its geospatial data. 26. A method according to claim 25 further comprising analyzing the at least one retrieved video segment using a scene detection algorithm. 27. A method according to claim 16 further comprising selecting a geographical area of interest on a map display; and wherein searching the video segments is also based upon the geographical area of interest. 28. A media asset management system for video segments from an aerial sensor platform comprising: a media interface for collecting video segments from the aerial sensor platform, each video segment having corresponding geospatial data associated therewith;a memory for storing a search thesaurus comprising a plurality of search descriptors cross-referenced to one another, the search descriptors being linked together by a hierarchical relationship, an associative relationship and an equivalence relationship, with the hierarchical relationship being defined by search descriptors comprising broader and narrower terms linked together, with the associative relationship being defined by search descriptors comprising terms that are linked with similar or related terms where the relationship between the terms is non-hierarchical, and with the equivalence relationship comprising synonyms;a processor configured as a single search engine for associating each video segment with at least one respective search descriptor from the search thesaurus; anda database for storing the collected video segments, associated geospatial data and associated search descriptors;said processor further configured for receiving at least one user search query, the at least one user search query including geospatial data,identifying, prior to searching the stored video segments, at least one additional search query based on comparing the at least one received user search query with the search,searching, by the media asset management system, the stored video segments based upon the at least one generated user search query and the at least one identified additional search query, with the at least one generated user search query and the at least one identified additional search query both being used in the same search; andretrieving at least one stored video segment and at least one map based on the searching, with the at least one retrieved video segment corresponding to the at least one received user search query and the at least one identified additional search query, and with the at least one retrieved map corresponding to the associated geospatial data of the at least one retrieved video segment. 29. A media asset management system according to claim 28 wherein the aerial sensor platform comprises an unmanned aerial vehicle. 30. A media asset management system according to claim 28 wherein the geospatial data comprises latitude and longitude. 31. A media asset management system according to claim 28 wherein the plurality of search descriptors comprise a plurality of geospatial search descriptors. 32. A media asset management system according to claim 28 further comprising a user input interface for permitting a user to input content data; and wherein said processor associates the content data with the video segments. 33. A media asset management system according to claim 32 wherein the content data comprises a date and a time each video segment was collected. 34. A media asset management system according to claim 32 wherein the content data comprises at least one of a topic, a location term, a landmark and an event. 35. A media asset management system according to claim 28 wherein said processor associates textual data with the video segments by transcribing audio from the video segments into text. 36. A media asset management system according to claim 28 wherein each video segment is stored in both a low resolution mode and a high resolution mode. 37. A media asset management system according to claim 28 wherein the media asset management system is web based. 38. A media asset management system according to claim 28 further comprising a user input interface for permitting a user to generate at least one user search query; and wherein said processor: searches said database based upon the at least one user search query and the at least one identified additional search query for retrieving at least one video segment. 39. A media asset management system according to claim 38 further comprising a display for playing back the at least one retrieved video segment while displaying the at least one retrieved map corresponding to its geospatial data. 40. A media asset management system according to claim 39 wherein said processor monitors the at least one retrieved video segment using a scene detection algorithm. 41. A media asset management system according to claim 28 further comprising: a map display;a user input interface for permitting a user to select a geographical area of interest on said map display; andsaid processor searching the video segments based upon the at least one received user search query, and the at least one identified additional search query and the selected geographical area of interest. 42. A media asset management system for video segments from an aerial sensor platform comprising: a memory for storing a geospatial search thesaurus comprising a plurality of search descriptors cross-referenced to one another, the search descriptors being linked together by a hierarchical relationship, an associative relationship and an equivalence relationship;a database for storing video segments from the aerial sensor platform, each video segment having corresponding geospatial data associated therewith and also having at least one geospatial search descriptor from the geospatial search thesaurus associated therewith;a user input interface for permitting a user to generate at least one user search query, the at least one user search query including geospatial data;a processor configured as a single search engine for comparing the at least one generated user search query with the geospatial search thesaurus for identifying, prior to searching the stored video segments, at least one additional search query, the identifying being based on the search descriptors being linked together by the hierarchical relationship, the associative relationship and the equivalence relationship, with the hierarchical relationship being defined by search descriptors comprising broader and narrower terms linked together, with the associative relationship being defined by search descriptors comprising terms that are linked with similar or related terms where the relationship between the terms is non-hierarchical, and with the equivalence relationship comprising synonyms, searching the video segments based upon the at least one user search query and the at least one additional search query, with the at least one generated user search query and the at least one identified additional search query being used in the same search, andretrieving at least one stored video segment and at least one map based on the searching, with the at least one retrieved video segment corresponding to the at least one generated user search query and the at least one identified additional search query, and with the at least one retrieved map corresponding to the associated geospatial data of the at least one retrieved video segment; anda display for displaying the at least one retrieved video segment and the at least one retrieved map. 43. A media asset management system according to claim 42 wherein the aerial sensor platform comprises an unmanned aerial vehicle. 44. A media asset management system according to claim 42 wherein the geospatial data comprises latitude and longitude. 45. A media asset management system according to claim 42 wherein said user input interface also permits the user to generate content data. 46. A media asset management system according to claim 45 wherein the content data comprises a date and a time each video segment was collected. 47. A media asset management system according to claim 45 wherein the content data comprises at least one of a topic, a location term, a landmark and an event. 48. A media asset management system according to claim 42 wherein textual data is associated with the video segments. 49. A media asset management system according to claim 48 wherein the textual data comprises transcribed audio from the video segments. 50. A media asset management system according to claim 42 wherein the video segments are stored in said database in both a low resolution mode and a high resolution mode. 51. A media asset management system according to claim 42 wherein the media asset management system is web based. 52. A media asset management system according to claim 42 wherein said display displays the at least one retrieved video segment while also displaying the at least one retrieved map corresponding to its geospatial data. 53. A media asset management system according to claim 52 wherein said processor analyzes the at least one retrieved video segment using a scene detection algorithm. 54. A media asset management system according to claim 42 wherein said display comprises a map display; and wherein said user input interface also permits the user to select a geographical area of interest on said map display; and wherein said processor searches the database based upon the at least one generated user search query and the selected geographical area of interest.