A method includes establishing digital communication between a first user device and a second user device using a first codec. The method also includes selecting, based on an input signal representing an estimated unfiltered available bandwidth for the digital communication satisfying a first filter selection threshold, a first filter of two or more filters, and filtering the input signal using the first filter. The method further includes determining that the filtered input signal satisfies a first channel bandwidth threshold and, in response to determining that the filtered input signal satisfies the channel bandwidth threshold, selecting a second codec different from the first codec for further digital communication between the first user device and the second user device.

A method of method of processing an image includes: determining estimates of parameters of an auto-regressive, AR, parametric model of noise contained in the image, according to which a current noise pixel is computed as a combination of a linear combination of P previous noise pixels in a causal neighborhood of the current noise pixel weighted by respective AR model linear combination parameters (φ.sub.1, . . . , φ.sub.P) with a generated noise sample corresponding to an additive Gaussian noise of AR model variance parameter (σ), generating a noise template of noise pixels based on the estimated AR model parameters, wherein the noise template is of a predetermined pixel size smaller than the pixel size of the image, determining an estimate (σ.sub.P) of a variance of the noise template, and based on a comparison of the estimated variance (σ.sub.P) with a predetermined threshold (T.sub.σ), correcting the AR model variance parameter (σ).

Systems and methods for enhanced video encoding identify patterns in sequences of raw digital video frames to extract features and identify the type of content represented by the extracted features. The system simulates many outcomes of encoding the sequence of digital video frames by using various different encoding strategies to find the relative best encoding strategy for each sequence of frames. As the encoder processes video, it passes digital video frames to a modeling system which determines whether the video, or video having that same type of content, has been previously observed by the system. The system then selectively applies a saved encoding strategy that had been determined by the system to be particularly suitable for encoding the same sequence of video frames or that same type of content.

Systems and methods for enhanced video encoding identify patterns in sequences of raw digital video frames to extract features and identify the type of content represented by the extracted features. The system simulates many outcomes of encoding the sequence of digital video frames by using various different encoding strategies to find the relative best encoding strategy for each sequence of frames. As the encoder processes video, it passes digital video frames to a modeling system which determines whether the video, or video having that same type of content, has been previously observed by the system. The system then selectively applies a saved encoding strategy that had been determined by the system to be particularly suitable for encoding the same sequence of video frames or that same type of content.

Aspects of the disclosure provide methods and apparatuses for mesh coding (e.g., compression and decompression). In some examples, an apparatus for mesh coding includes processing circuitry. The processing circuitry decodes a plurality of initial maps in two-dimension from a bitstream carrying a three-dimensional (3D) mesh frame. The processing circuitry determines at least two sampling rates associated with different portions of the plurality of initial maps and recovers from the plurality of initial maps and based on the at least two sampling rates associated with the different portions of the plurality of initial maps to obtain a plurality of recovered maps. A first portion of the plurality of initial maps is recovered based on a first sampling rate, and a second portion of the plurality of initial maps is recovered based on a second sampling rate. The processing circuitry reconstructs the 3D mesh frame based on the plurality of recovered maps.

Aspects of the disclosure provide methods and apparatuses for mesh coding (e.g., compression and decompression). In some examples, an apparatus for mesh coding includes processing circuitry. The processing circuitry decodes a plurality of initial maps in two-dimension from a bitstream carrying a three-dimensional (3D) mesh frame. The processing circuitry determines at least two sampling rates associated with different portions of the plurality of initial maps and recovers from the plurality of initial maps and based on the at least two sampling rates associated with the different portions of the plurality of initial maps to obtain a plurality of recovered maps. A first portion of the plurality of initial maps is recovered based on a first sampling rate, and a second portion of the plurality of initial maps is recovered based on a second sampling rate. The processing circuitry reconstructs the 3D mesh frame based on the plurality of recovered maps.

Systems and methods for performing trick play functionality using trick play streams during adaptive bitrate streaming in accordance with embodiments of the invention are disclosed. One embodiment includes requesting a video container index from a video container file containing a video stream from a plurality of alternative streams of video; requesting at least one portion of the video stream using at least one entry from the video container index; decoding the at least one portion of the video stream; receiving at least one user instruction to perform a visual search of the media; requesting a trick play container index from a trick play container file containing a trick play stream; requesting at least one frame of video from the at least one trick play stream; and decoding and displaying the at least one frame of video from the trick play stream.

Systems and methods for performing trick play functionality using trick play streams during adaptive bitrate streaming in accordance with embodiments of the invention are disclosed. One embodiment includes requesting a video container index from a video container file containing a video stream from a plurality of alternative streams of video; requesting at least one portion of the video stream using at least one entry from the video container index; decoding the at least one portion of the video stream; receiving at least one user instruction to perform a visual search of the media; requesting a trick play container index from a trick play container file containing a trick play stream; requesting at least one frame of video from the at least one trick play stream; and decoding and displaying the at least one frame of video from the trick play stream.

Approaches to selection of motion vector (“MV”) precision during video encoding are presented. These approaches can facilitate compression that is effective in terms of rate-distortion performance and/or computational efficiency. For example, a video encoder determines an MV precision for a unit of video from among multiple MV precisions, which include one or more fractional-sample MV precisions and integer-sample MV precision. The video encoder can identify a set of MV values having a fractional-sample MV precision, then select the MV precision for the unit based at least in part on prevalence of MV values (within the set) having a fractional part of zero. Or, the video encoder can perform rate-distortion analysis, where the rate-distortion analysis is biased towards the integer-sample MV precision. Or, the video encoder can collect information about the video and select the MV precision for the unit based at least in part on the collected information.

Approaches to selection of motion vector (“MV”) precision during video encoding are presented. These approaches can facilitate compression that is effective in terms of rate-distortion performance and/or computational efficiency. For example, a video encoder determines an MV precision for a unit of video from among multiple MV precisions, which include one or more fractional-sample MV precisions and integer-sample MV precision. The video encoder can identify a set of MV values having a fractional-sample MV precision, then select the MV precision for the unit based at least in part on prevalence of MV values (within the set) having a fractional part of zero. Or, the video encoder can perform rate-distortion analysis, where the rate-distortion analysis is biased towards the integer-sample MV precision. Or, the video encoder can collect information about the video and select the MV precision for the unit based at least in part on the collected information.