Compressing multiple video files using localized camera meta data

A computer program product, comprising:

• a computer readable storage medium;
• and
• a computer readable program code stored in the computer readable storage medium, the computer readable program code containing instructions that are executed by a central processing unit (CPU) of a computer system to implement a method of compressing video frames captured by a camera, the method comprising the steps of:
• the computer system determining a location of the camera during a capture of the video frames by the camera, a focal length of the camera during the capture of the video frames, a direction of the camera during the capture of the video frames, and a time of day during the capture of the video frames;
• the computer system associating meta data with the video frames captured by the camera, the meta data including the location of the camera, the focal length of the camera, the direction of the camera, and the time of day;
• the computer system determining clusters of the video frames having correlations to respective sets of values of the meta data, each of the correlations exceeding a predetermined threshold value,
• based on a color space, a resolution, a frame rate, a refresh rate, and a bit rate of video files that include multiple video frames within each of the clusters, and based on an analysis of color balance and color intensity and an analysis of a texture of each of the multiple video frames within each of the clusters, the computer system comparing the multiple video frames within each of the clusters without comparing the multiple video frames with a video frame in another cluster;
• and
• based on the multiple video frames within each of the clusters being compared with each other but not being compared with the video frame in another cluster, the computer system determining a base frame and delta frames for each of the clusters, and storing the base frame and delta frames for each of the clusters, an amount of storage required for the base frame and delta frames for each of the clusters being based in part on each of the correlations to the respective sets of values of the meta data exceeding the predetermined threshold value.

A computer system comprising:

• a central processing unit (CPU);
• a memory coupled to the CPU;
• and
• a computer readable storage device coupled to the CPU, the storage device containing instructions that are executed by the CPU via the memory to implement a method of compressing video frames captured by a camera, the method comprising the steps of:
• the computer system determining a location of the camera during a capture of the video frames by the camera, a focal length of the camera during the capture of the video frames, a direction of the camera during the capture of the video frames, and a time of day during the capture of the video frames;
• the computer system associating meta data with the video frames captured by the camera, the meta data including the location of the camera, the focal length of the camera, the direction of the camera, and the time of day;
• the computer system determining clusters of the video frames having correlations to respective sets of values of the meta data, each of the correlations exceeding a predetermined threshold value,
• based on a color space, a resolution, a frame rate, a refresh rate, and a bit rate of video files that include multiple video frames within each of the clusters, and based on an analysis of color balance and color intensity and an analysis of a texture of each of the multiple video frames within each of the clusters, the computer system comparing the multiple video frames within each of the clusters without comparing the multiple video frames with a video frame in another cluster;
• and
• based on the multiple video frames within each of the clusters being compared with each other but not being compared with the video frame in another cluster, the computer system determining a base frame and delta frames for each of the clusters, and storing the base frame and delta frames for each of the clusters, an amount of storage required for the base frame and delta frames for each of the clusters being based in part on each of the correlations to the respective sets of values of the meta data exceeding the predetermined threshold value.