Abstract:This paper presents a method allowing learned video encoders to apply arbitrary latent refinement strategies to serve as Rate-Distortion Optimization (RDO) at the time of encoding. To do so, a latent domain search is applied on an initial latent representation of the video signal. This search is implemented as a set of iterations, each of which performs a gradient descent with back-propagation of error defined by a Lagrangian RD cost. This cost function is intentionally chosen to be the same as the cost functi… Show more
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