| CPC G06V 20/41 (2022.01) [G06N 3/08 (2013.01); G06T 3/40 (2013.01); G06V 10/26 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 20/49 (2022.01)] | 14 Claims |
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1. A movie detection method, comprising:
configuring an electronic device to play an input video source;
configuring a processor of the electronic device to capture a current image of the input video source and store the current image in a memory, wherein the current image has a first image scale;
performing a pre-processing process on the current image, wherein the pre-processing process includes configuring the processor to:
perform an image scaling process on the current image to generate a zoomed current image having a second image scale, wherein the second image scale is smaller than the first image scale;
perform a cutting process on the zoomed current image, and only retain a top and a bottom of the zoomed current image; and
join the top and the bottom to generate a joined current image; and
configuring the processor to input the joined current image into a trained machine learning model to classify the joined current image as a movie image or a non-movie image,
wherein the trained machine learning model is generated by performing a training process on a machine learning model, and the training process is performed based on a plurality of joined training images,
wherein the plurality of joined training images are generated by performing the pre-processing process on a plurality of movie images with black bars and a plurality of non-movie images without black bars, and the plurality of joined training images are respectively marked as the movie images and the non-movie images to be used as expected outputs of the machine learning model in the training process.
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