Systems and methods for generating augmented reality content
In some embodiments, a method comprises obtaining a video stream of a portion of a geographic area, the video stream comprising a plurality of video frames, each of the plurality of video frames captured at a respective first time. Contextual metadata is obtained, the contextual metadata associated with one or more objects located in the portion of the geographic area at a second time, the second time being before each of the respective first times. The contextual metadata is inserted into one or more of the plurality of video frames, thereby causing the contextual metadata associated with the one or more objects to be overlaid on one or more corresponding portions of the one or more of the plurality of video frames.
1 . A system comprising:
one or more processors; and
memory storing instructions that, when executed by the one or more processors, cause the system to perform:
obtaining a selection of a geographical region;
based on the selection of the geographical region, generating an executable query to search for vehicles within a threshold vicinity of the geographical region and to search for pre-recorded video content streams within the threshold vicinity;
executing the executable query to search for the vehicles within the threshold vicinity of the geographical region;
presenting one or more live video content streams generated by the vehicles and one or more pre-recorded content streams within the threshold vicinity;
obtaining a selection of a video content stream generated by a vehicle, the video content stream comprising video frames, each of the video frames captured at respective first times and having respective fields of view (FOVs);
obtaining one or more annotations based on the pre-recorded video content streams associated with one or more objects within perimeter borders of the respective FOVs;
generating contextual metadata based on the obtained annotations; and
overlaying the contextual metadata onto one or more particular video frames of the video content stream.
2 . The system of claim 1 , wherein the one or more objects comprise one or more building structures, and the annotations indicate information associated with the one or more building structures.
3 . The system of claim 1 , wherein the one or more objects comprise cellular signals, radio signals, and Wireless Fidelity (Wi-Fi) signals.
4 . The system of claim 1 , wherein the contextual metadata further comprises a first layer comprising a physical structure, a second layer comprising electronic signal activity, and a third layer comprising message activity.
5 . The system of claim 1 , wherein the instructions that, when executed by the one or more processors, cause the system to perform:
in response to obtaining the video content stream, processing the video content stream by performing two-dimensional georectification and post-processing to add elevation data to produce a three-dimensional model, wherein, following the post-processing, the three-dimensional model has a higher degree of complexity and accuracy compared to the obtained video content stream.
6 . A method being implemented by a computing system including one or more physical processors and storage media storing machine-readable instructions, the method comprising:
obtaining a selection of a geographical region;
based on the selection of the geographical region, generating an executable query to search for vehicles within a threshold vicinity of the geographical region and to search for pre-recorded video content streams within the threshold vicinity;
executing the executable query to search for the vehicles within the threshold vicinity of the geographical region;
presenting live video content streams generated by the vehicles and one or more pre-recorded content streams within the threshold vicinity;
obtaining a selection of a video content stream generated by a vehicle, the video content stream comprising video frames, each of the video frames captured at respective first times and having respective fields of view (FOVs);
obtaining one or more annotations associated with one or more objects within perimeter borders of the respective FOVs based on the pre-recorded video content streams;
generating contextual metadata based on the obtained annotations; and
overlaying the contextual metadata onto one or more particular video frames of the video content stream.
7 . The method of claim 6 , wherein the one or more objects comprise cellular signals, radio signals, and Wireless Fidelity (Wi-Fi) signals.
8 . The method of claim 6 , wherein the contextual metadata further comprises a first layer comprising a physical structure, a second layer comprising electronic signal activity, and a third layer comprising message activity.
9 . The method of claim 6 , wherein the video content stream is obtained by:
acquiring a selection of a portion of a geographic area;
obtaining geographic coordinates corresponding to the portion;
searching for a video content stream associated with the portion from the vehicle within a threshold vicinity of the selected portion; and
receiving a selection of the video content stream.
10 . A non-transitory computer readable medium comprising instructions that, when executed, cause one or more processors to perform:
obtaining a selection of a geographical region;
based on the selection of the geographical region, generating an executable query to search for vehicles within a threshold vicinity of the geographical region and to search for pre-recorded video content streams within the threshold vicinity;
executing the executable query to search for the vehicles within the threshold vicinity of the geographical region;
presenting live video content streams generated by the vehicles and one or more pre-recorded content streams within the threshold vicinity;
obtaining a selection of a video content stream generated by a vehicle, the video content stream comprising video frames, each of the video frames captured at respective first times and having respective fields of view (FOVs);
obtaining one or more annotations associated with one or more objects within perimeter borders of the respective FOVs based on the pre-recorded video content streams;
generating contextual metadata based on the obtained annotations; and
overlaying the contextual metadata onto one or more particular video frames of the video content stream.
11 . The non-transitory computer readable medium of claim 10 , wherein the one or more objects comprise one or more building structures, and the annotations indicate information associated with the one or more building structures.
12 . The non-transitory computer readable medium of claim 10 , wherein the one or more objects comprise cellular signals, radio signals, and Wireless Fidelity (Wi-Fi) signals.