A method of time-lapse processing video images
A video image, time-lapse technology, applied in image communication, color TV components, TV system components and other directions, can solve the problem of not being able to output time-lapse video in time, very high hardware equipment requirements, and large 3D modeling calculations. and other problems, to achieve the effect of being conducive to computer implementation, avoiding repeated calculations, and low jitter
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Embodiment 1
[0039] figure 1 The flow chart of the method for time-lapse processing video images provided by the present invention is shown. The method for time-lapse processing video images includes the following steps.
[0040] S101. Input a video to be processed.
[0041] S102. Obtain the sharpness value, distortion value, and matching degree value of each frame in the video to be processed, and then calculate a frame extraction reference value corresponding to each frame according to the sharpness value, distortion value, and matching degree value.
[0042] S103. Set a sliding window with a window size of N, and then gradually select M consecutive frames in the video to be processed by moving the sliding window, and remove the frame with the smallest frame reference value among the selected consecutive frames in each step, the M The value is equal to the N value.
[0043] S104. If the total number of remaining frames of the video to be processed is greater than the target value, the...
Embodiment 2
[0047] figure 2 Shows the flow chart of obtaining the sharpness value of the video frame provided by the present invention, image 3 Shows the flow chart of obtaining the distortion value of the video frame provided by the present invention, Figure 4 Shows the flow chart of obtaining the matching degree value of the video frame provided by the present invention, Figure 5 A schematic diagram showing the positional relationship between the current frame and the corresponding adjacent frame provided by the present invention, Image 6 A schematic diagram of frame extraction processing by moving a sliding window provided by the present invention is shown. Embodiment 2 As a refinement scheme of Embodiment 1, each step in Embodiment 1 is described in detail below.
[0048] S101. Input a video to be processed.
[0049] S102. Obtain the sharpness value, distortion value, and matching degree value of each frame in the video to be processed, and then calculate a frame extraction r...
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