Abstract: A method and apparatus of video coding incorporating Deep Neural Network are disclosed. A target signal is processed using DNN (Deep Neural Network), where the target signal provided to DNN input corresponds to the reconstructed residual, output from the prediction process, the reconstruction process, one or more filtering processes, or a combination of them. The output data from DNN output is provided for the encoding process or the decoding process. The DNN can be used to restore pixel values of the target signal or to predict a sign of one or more residual pixels between the target signal and an original signal. An absolute value of one or more residual pixels can be signalled in the video bitstream and used with the sign to reduce residual error of the target signal.

Abstract: The present disclosure relates to air filters. More particularly, it relates to adjustably sized air filter systems capable of use in a window opening. Some embodiments relate to a filter media assembly configured in a roll. In some embodiments, the filter media assembly includes a filter media having a leading end opposite a trailing end and first and second opposed side edges extending between the leading end and the trailing end.

Abstract: The present disclosure relates to powered window air filters. More particularly, it relates to air filter systems capable of use in a window opening. Some embodiments relate to an adjustably sized air filter. Some embodiments include a filter assembly including filter media and a fan and/or control unit that forces air through the filter media in the filter assembly.