Systems and methods for multiple-resolution storage of media streams

1. A method comprising, by a computer system:

continuously receiving, from a plurality of cameras, raw video frames at an initial resolution, wherein the plurality of cameras are arranged to provide a 360-degree view relative to a point of reference;

for each camera of the plurality of cameras, for each raw video frame, as the raw video frame is received:

downscaling the raw video frame to a first resolution to yield a first scaled video frame;

downscaling the raw video frame to a second resolution distinct from the first resolution to yield a second scaled video frame;

identifying a location of a target in at least one of the raw video frame, the first scaled video frame, and the second scaled video frame;

cropping at least one video frame selected from among the raw video frame, the first scaled video frame, and the second scaled video frame based, at least in part, on the location of the target;

downscaling the cropped at least one video frame to a third resolution to yield a third scaled video frame; and

storing the first scaled video frame, the second scaled video frame, and information related to the cropped at least one video frame as part of a first video stream, a second video stream, and a third video stream, respectively; and

blending together a video stream of each of the plurality of cameras into a 360-degree video stream, wherein the video stream of each of the plurality of cameras comprises at least one of the first video stream, the second video stream, and the third video stream.

2. The method of claim 1 , wherein, for at least one camera of the plurality of cameras, the identifying comprises identifying the location of the target in the raw video frame.

3. The method of claim 1 , wherein the third resolution is the same as at least one of the first resolution and the second resolution.

4. The method of claim 1 , comprising:

downscaling the cropped at least one video frame to a fourth resolution to yield a fourth scaled video frame; and

storing the fourth scaled video frame as part of a fourth video stream.

5. The method of claim 1 , wherein the storing the information related to the cropped at least one video frame comprises storing the cropped at least one video frame as part of the third video stream.

6. The method of claim 1 , wherein the cropping comprises cropping the at least one video frame to a narrower field of view.

7. The method of claim 1 , wherein the at least one video frame is the raw video frame.

8. The method of claim 1 , wherein the target is selected from the group consisting of person, vehicle, and license plate.

9. The method of claim 1 , wherein the identifying comprises selecting from among a plurality of potential targets.

10. The method of claim 9 , wherein the selecting prioritizes identification of people over other potential targets.

11. The method of claim 1 , comprising causing at least one of the plurality of cameras to at least one of pan and tilt based, at least in part, on the location of the target.

12. A system comprising a processor and memory, wherein the processor and memory in combination are operable to implement a method comprising:

continuously receiving, from a plurality of cameras, raw video frames at an initial resolution, wherein the plurality of cameras are arranged to provide a 360-degree view relative to a point of reference;

for each camera of the plurality of cameras, for each raw video frame, as the raw video frame is received:

downscaling the raw video frame to a first resolution to yield a first scaled video frame;

downscaling the raw video frame to a second resolution distinct from the first resolution to yield a second scaled video frame;

identifying a location of a target in at least one of the raw video frame, the first scaled video frame, and the second scaled video frame;

cropping at least one video frame selected from among the raw video frame, the first scaled video frame, and the second scaled video frame based, at least in part, on the location of the target;

downscaling the cropped at least one video frame to a third resolution to yield a third scaled video frame; and

storing the first scaled video frame, the second scaled video frame, and information related to the cropped at least one video frame as part of a first video stream, a second video stream, and a third video stream, respectively; and

blending together a video stream of each of the plurality of cameras into a 360-degree video stream, wherein the video stream of each of the plurality of cameras comprises at least one of the first video stream, the second video stream, and the third video stream.

13. The system of claim 12 , wherein, for at least one camera of the plurality of cameras, the identifying comprises identifying the location of the target in the raw video frame.

14. The system of claim 12 , wherein the third resolution is the same as at least one of the first resolution and the second resolution.

15. The system of claim 12 , the method comprising:

downscaling the cropped at least one video frame to a fourth resolution to yield a fourth scaled video frame; and

storing the fourth scaled video frame as part of a fourth video stream.

16. The system of claim 12 , wherein the storing the information related to the cropped at least one video frame comprises storing the cropped at least one video frame as part of the third video stream.

17. The system of claim 12 , wherein the identifying comprises selecting from among a plurality of potential targets.

18. The system of claim 17 , wherein the selecting prioritizes identification of people over other potential targets.

19. The system of claim 12 , the method comprising causing at least one of the cameras to at least one of pan and tilt based, at least in part, on the location of the target.

20. A computer-program product comprising a non-transitory computer-usable medium having computer-readable program code embodied therein, the computer-readable program code adapted to be executed to implement a method comprising:

continuously receiving, from a plurality of cameras, raw video frames at an initial resolution, wherein the plurality of cameras are arranged to provide a 360-degree view relative to a point of reference;

for each camera of the plurality of cameras, for each raw video frame, as the raw video frame is received:

downscaling the raw video frame to a first resolution to yield a first scaled video frame;

downscaling the raw video frame to a second resolution distinct from the first resolution to yield a second scaled video frame;

identifying a location of a target in at least one of the raw video frame, the first scaled video frame, and the second scaled video frame;

cropping at least one video frame selected from among the raw video frame, the first scaled video frame, and the second scaled video frame based, at least in part, on the location of the target;

downscaling the cropped at least one video frame to a third resolution to yield a third scaled video frame; and

storing the first scaled video frame, the second scaled video frame, and information related to the cropped at least one video frame as part of a first video stream, a second video stream, and a third video stream, respectively; and

blending together a video stream of each of the plurality of cameras into a 360-degree video stream, wherein the video stream of each of the plurality of cameras comprises at least one of the first video stream, the second video stream, and the third video stream.