Scene change detection in image data

A computing device comprising:

• a camera device;
• at least one processor configured in communication with the camera device;
• and
• a non-transitory, computer-readable memory configured in communication with the at least one processor, the memory storing instructions that, when executed by the at least one processor, are effective to cause the at least one processor to perform a method comprising:
• determining a Euclidean distance between a first histogram of a first frame of video data representing an environment and a second histogram of a second frame of the video data;
• determining that the Euclidean distance exceeds a threshold value;
• determining, in response to the Euclidean distance exceeding the threshold value, a flow value representing changes in the environment represented in a third frame of the video data and a fourth frame of the video data, wherein the flow value is determined based at least in part on a motion vector between a first block of pixels of the third frame of the video data and a second block of pixels of the fourth frame of the video data, and a sum of absolute differences (SAD) between the first block of pixels and the second block of pixels;
• determining that the flow value exceeds a flow threshold value;
• and
• transmitting to a remote computing device at least a first portion of the video data subsequent to the first frame based at least in part on the flow value exceeding the flow threshold value.

A method comprising:

• determining a Euclidean distance between a first histogram of a first frame of video data representing an environment and a second histogram of a second frame of the video data;
• determining that the Euclidean distance exceeds a threshold value;
• determining a first flow value representing changes in the environment represented in a third frame of the video data and a fourth frame of the video data, wherein the first flow value is determined based at least in part on a first motion vector between a first block of pixels of the third frame of the video data and a second block of pixels of the fourth frame of the video data, and a first sum of absolute differences (SAD) between the first block of pixels and the second block of pixels;
• determining that the first flow value exceeds a flow threshold value;
• sending a first number of frames of the video data representing a first portion of the video data to a remote computing device;
• determining a second flow value representing changes in the environment represented in a fifth frame of the video data and a sixth frame of the video data, wherein the second flow value is determined based at least in part on a second motion vector between a third block of pixels of the fifth frame of the video data and a fourth block of pixels of the sixth frame of the video data, and a second sum of absolute differences (SAD) between the third block of pixels and the fourth block of pixels;
• determining that the second flow value exceeds the flow threshold value;
• and
• sending a second number of frames of the video data to the remote computing device, wherein the second number of frames represents a second portion of the video that is consecutive to the first portion of the video data.