A video coder includes a processing resource and a non-transitory storage device containing instructions executable by the processing resource to compute a weighted Δ frame based on a saliency map and a Δ frame. The saliency map is to indicate the relative importance of each pixel in a current frame based on its perceptual significance. The Δ frame is to include differences between corresponding pixels in a current frame and a motion predicted frame.

A video coder includes a processing resource and a non-transitory storage device containing instructions executable by the processing resource to compute a weighted Δ frame based on a saliency map and a Δ frame. The saliency map is to indicate the relative importance of each pixel in a current frame based on its perceptual significance. The Δ frame is to include differences between corresponding pixels in a current frame and a motion predicted frame.

A video decoding method according to the present disclosure includes determining a reference sample line for a current block, deriving an intra prediction mode for the current block, and performing intra prediction of the current block based on the reference sample line and the intra prediction mode.

Systems and methods are disclosed for image signal processing. For example, methods may include receiving a current image of a sequence of images from an image sensor; combining the current image with a recirculated image to obtain a noise reduced image, where the recirculated image is based on one or more previous images of the sequence of images from the image sensor; determining a noise map for the noise reduced image, where the noise map is determined based on estimates of noise levels for pixels in the current image, a noise map for the recirculated image, and a set of mixing weights; recirculating the noise map with the noise reduced image to combine the noise reduced image with a next image of the sequence of images from the image sensor; and storing, displaying, or transmitting an output image that is based on the noise reduced image.

Systems and methods are disclosed for image signal processing. For example, methods may include receiving a current image of a sequence of images from an image sensor; combining the current image with a recirculated image to obtain a noise reduced image, where the recirculated image is based on one or more previous images of the sequence of images from the image sensor; determining a noise map for the noise reduced image, where the noise map is determined based on estimates of noise levels for pixels in the current image, a noise map for the recirculated image, and a set of mixing weights; recirculating the noise map with the noise reduced image to combine the noise reduced image with a next image of the sequence of images from the image sensor; and storing, displaying, or transmitting an output image that is based on the noise reduced image.

A method is provided for decoding in a media decoder media streamed from a remote media service. The streamed media includes media packages, having a decoder configuration information and one or more media samples. The method involves the steps of: configuring the media decoder using an initial decoder configuration; receiving decoder configuration information of a respective media package; identifying one or more differences between the received decoder configuration information and the initial decoder configuration; deriving, from the received decoder configuration information, an updated decoder configuration in accordance with a set of predefined rules; and decoding the one or more media samples of the respective media package in accordance with the updated decoder configuration. A media decoder may be configured to perform the decoding method, and to a media player having such a media decoder.

A method is provided for decoding in a media decoder media streamed from a remote media service. The streamed media includes media packages, having a decoder configuration information and one or more media samples. The method involves the steps of: configuring the media decoder using an initial decoder configuration; receiving decoder configuration information of a respective media package; identifying one or more differences between the received decoder configuration information and the initial decoder configuration; deriving, from the received decoder configuration information, an updated decoder configuration in accordance with a set of predefined rules; and decoding the one or more media samples of the respective media package in accordance with the updated decoder configuration. A media decoder may be configured to perform the decoding method, and to a media player having such a media decoder.

A video image processing method includes determining a current image block and, in response to a size of the current image block meeting a preset condition, determining a temporal candidate motion vector of the current image block according to at least one of a temporal motion vector prediction (TMVP) operation or an advanced/alternative temporal motion vector prediction (ATMVP) operation.

A computer-implemented method according to one embodiment includes classifying an image stored on a device as a type of image. A user's access pattern of other images also classified as the type of image is analyzed. The method further includes analyzing at least one sharing medium that the user has previously used to share the image and/or other images. The analyzing the at least one medium is at least in part based on the classified type of the image. A previously recorded delete pattern of the user is analyzed. The analyzing the previously recorded delete pattern of the user is at least in part based on the classified type of the image. Based on the classified type of the image and/or based on results of the analyses, the image is categorized to one of a plurality of image compression categories. Each category corresponds to a degree of image compression.

Sample adaptive offset (SAO) in accordance with video coding. SAO filtering may be performed before de-blocking processing (e.g., in accordance with video signal decoding and/or encoding). For example, a receiver and/or decoder communication device may receive signaling from a transmitter and/or encoder communication device that includes various band offsets. Corresponding band indices may be determined via analysis of the received video signal (e.g., received from the transmitter and/or encoder communication device), inferentially without requiring signaling of such band indices from the transmitter and/or encoder communication device. Upon appropriate analysis of one or more largest coding units (LCUs) generated from the video signal to determine a pixel value distribution (e.g., which may be using a histogram in one instance), then based on that pixel value distribution, the band indices are identified and the band offsets applied thereto.