Video compression with generative models
Abstract:
A processing system having at least one processor may obtain a sequence of frames of a video, and detect a correlation between visual properties of a first frame of the sequence of frames and a second frame of the sequence of frames, where the second frame comprises a next frame following the first frame in the sequence of frames. The processing system may then generate a first difference vector comprising a difference between a latent space representation of the second frame and a latent space representation of the first frame in response to detecting the correlation between the visual properties, where the latent space representation of the first frame and the latent space representation of the second frame are generated via an autoencoder, and store the first difference vector in a first encoding block.
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