Supplementing video material

1. A computer-implemented method for supplementing video material, the method executed by one or more processing devices and comprising:

controlling a display device to display a first video associated with a first camera and retrieved from a storage device;

analyzing the first video to detect at least one additional camera, wherein analyzing comprises performing pattern recognition on video data of the first video to detect at least one camera object in the video data; and

controlling the display device to display a second video associated with a second camera among the detected at least one additional camera in response to a user input.

2. The computer-implemented method of claim 1 , wherein controlling the display device to display the second video comprises:

receiving, as the user input, a selection input for selecting the second camera input by the user by means of an input device;

identifying a video frame of the second video corresponding to the displayed video frame of the first video; and

controlling the display device to display the second video starting from the identified video frame.

3. The computer-implemented method of claim 1 , wherein controlling the display device to display the second video comprises switching to the second video.

4. The computer-implemented method of claim 1 , wherein detecting the at least one additional camera further comprises:

performing person identification, on video data of the first video to identify at least one person in the first video.

5. The computer-implemented method of claim 1 , further comprising:

wherein detecting the at least one additional camera comprises performing person identification using face recognition on video data of the first video to identify at least one person in the first video; and

determining whether the at least one identified person is associated with the at least one camera object by at least one selected from the group of (a) by determining whether the at least one camera object is carried by the at least one identified person and (b) by determining whether the at least one camera object is associated with at least one vehicle selected from the group of (i) registered to and (ii) operated by the at least one identified person.

6. The computer-implemented method of claim 1 , further comprising:

analyzing a plurality of videos to extract at least one selected from the group of (a) biometric information and (b) context information based on at least one selected from the group of (i) metadata, (ii) video data of the plurality of videos, and (iii) environment information comprising three-dimensional map information; and

determining at least one video of the plurality of videos associated with the first video based on the extracted at least one selected from the group of (a) biometric information and (b) context information.

7. The computer-implemented method of claim 6 , wherein the biometric information comprises biometric information comprising facial data of a creator of a corresponding video; and

wherein determining the at least one video comprises determining whether the biometric information of the video conforms with the at least one identified person.

8. The computer-implemented method of claim 6 , wherein the context information comprises time information comprising a time range of a corresponding video; and

wherein determining the at least one video comprises establishing a temporal relationship between the time information of the video and time information comprising a time range of the first video and determining whether the temporal relationship fulfills a first condition.

9. The computer-implemented method of claim 6 , wherein the context information comprises spatial information, in particular comprising a vantage point of a corresponding video; and

wherein determining the at least one video comprises establishing a spatial relationship between the spatial information of the video and spatial information, comprising a vantage point of the first video and determining whether the spatial relationship fulfills a second condition.

10. The computer-implemented method of claim 6 , wherein the context information comprises event information, the event information indicating an occurrence of a particular event in a corresponding video; and

wherein determining the at least one video comprises determining whether the particular event also occurs in the first video.

11. The computer-implemented method of claim 6 , wherein detecting the at least one additional camera further comprises associating at least one selected from the group of (1) an identified person and (2) a camera object in the first video with a camera of the at least one additional camera based on the extracted at least one selected from the group of (a) biometric information and (b) context information.

12. The computer-implemented method of claim 6 , wherein detecting the at least one additional camera further comprises:

for each video of the at least one video:

determining whether a vantage point of the video is located outside a viewing range of the first camera; and

upon determination that the vantage point of the video is located outside the viewing range, associating the vantage point with an additional camera of the at least one additional camera and controlling the display device to display an indicator and superimposing the indicator on the first video, the indicator indicating a relative location of the additional camera with respect to the first camera.

13. The computer-implemented method of claim 12 , wherein displaying the indicator comprises displaying a two- or three-dimensional map with superimposed symbols indicating locations of at least the first camera and the additional camera.

14. A computer program product, comprising one or more non-transitory computer readable media having computer-executable instructions for performing the steps of a computer-implemented method comprising:

controlling a display device to display a first video associated with a first camera and retrieved from a storage device;

analyzing the first video to detect at least one additional camera located in an area of interest by performing pattern recognition on video data of the first video to detect at least one camera object in the video data; and

controlling the display device to display a second video associated with a second camera among the detected at least one additional camera in response to a user input.

15. The computer-implemented method of claim 1 , wherein the analyzing step further comprises analyzing the first video to detect at least one additional camera located in an area of interest.

16. The computer-implemented method of claim 2 , wherein the receiving step further comprises receiving, as the user input, a selection input for selecting the second camera in a displayed video frame of the first video input by the user by means of an input device.

17. The computer-implemented method of claim 3 , further comprising controlling the display device to highlight the at least one camera object.

18. The computer-implemented method of claim 17 , wherein the step of controlling the display device to highlight the at least one camera object further comprises controlling the display device to highlight the at least one camera object by superimposing a symbol or frame on the displayed first video.

19. The computer-implemented method of claim 4 , wherein the performing step further comprises performing person identification using face recognition on video data of the first video to identify at least one person in the first video.