Automatic detection method for three-dimensional (3D) side-by-side video
A left and right format, automatic detection technology, applied in the direction of image communication, electrical components, stereo system, etc.
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Embodiment 1
[0040] see Figure 1 ~ Figure 4 , this 3D left and right format video automatic detection method, the operation steps are as follows:
[0041] [step S1], given a 3D left and right format video files with N=100, in order to be automatically detected as 3D left and right format videos;
[0042] [Step S2], preprocessing the given video and extracting the features of the left and right sides of the video, the video size is set to 320×240 (320 is wide, 240 is high);
[0043] [Step S21], the feature of the left half of each frame of video extracted is Lef;
[0044] [Step S22], the extracted feature of the right half of each frame of video is Rig;
[0045] [Step S3], calculate the ratio Ratio of the difference between the left and right half features and the left half features;
[0046] [Step S4], comparing the ratio Ratio with the threshold T1 to determine whether it is valid frame data, including the following steps:
[0047] (1), set the threshold T1=0.02 to be compared with t...
Embodiment 2
[0058] see Figure 1 ~ Figure 4 , this 3D left and right format video automatic detection method, the operation steps are as follows:
[0059] [Step S1], given a 2D video file with N=100, in case it is automatically detected as a 3D or so format video;
[0060] [Step S2], preprocessing the given video and extracting the features of the left and right sides of the video, the video size is set to 320×240 (320 is wide, 240 is high);
[0061] [Step S21], the feature of the left half of each frame of video extracted is Lef;
[0062] [Step S22], the extracted feature of the right half of each frame of video is Rig;
[0063] [Step S3], calculate the ratio Ratio of the difference between the left and right half features and the left half features;
[0064] [Step S4], comparing the ratio Ratio with the threshold T1 to determine whether it is valid frame data, including the following steps:
[0065] (1), set the threshold T1=0.02 to be compared with the frame ratio Ratio,
[0066] ...
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