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Magic Pony Technology Limited patents


Recent patent applications related to Magic Pony Technology Limited. Magic Pony Technology Limited is listed as an Agent/Assignee. Note: Magic Pony Technology Limited may have other listings under different names/spellings. We're not affiliated with Magic Pony Technology Limited, we're just tracking patents.

ARCHIVE: New 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 | Company Directory "M" | Magic Pony Technology Limited-related inventors


Training end-to-end video processes

Methods and systems for optimising the quality of visual data. Specifically, methods and systems for preserving visual information during compression and decompression. ... Magic Pony Technology Limited

Training end-to-end video processes

Disclosed is method for training a plurality of visual processing algorithms for processing visual data. The method includes using a pre-processing hierarchical algorithm to process the visual data prior to encoding the visual data in visual data processing, and using a post-processing hierarchical algorithm to further process the visual data following decoding visual data in visual data processing. ... Magic Pony Technology Limited

Visual processing using temporal and spatial interpolation

A method for enhancing at least a section of lower-quality visual data using a hierarchical algorithm, the method including receiving at least a plurality of neighbouring sections of lower-quality visual data. A plurality of input sections from the received plurality of neighbouring sections of lower quality visual data are selected and features are extracted from those plurality of input sections of lower-quality visual data. ... Magic Pony Technology Limited

Interpolating visual data

A method for enhancing lower-quality visual data using hierarchical algorithms, the method comprising the steps of: receiving one or more sections of lower-quality visual data; applying a hierarchical algorithm to the one or more sections of lower-quality visual data to enhance the one or more sections of lower-quality visual data to one or more sections of higher-quality visual data, wherein the hierarchical algorithm was developed using a learned approach; and outputting the one or more sections of higher-quality visual data.. . ... Magic Pony Technology Limited

Enhancing visual data using strided convolutions

A method for enhancing at least a section of lower-quality visual data using a hierarchical algorithm, the method comprises receiving at least one section of lower-quality visual data; and extracting a subset of features, from the at least one section of lower-quality visual data. A plurality of layers of reduced-dimension visual data from the extracted features are formed and enhanced to form at least one section of higher-quality visual data. ... Magic Pony Technology Limited

Enhancement of visual data

A method for enhancing at least a section of lower-quality visual data, the method comprising at least a section of the lower-quality visual data being received. A hierarchical algorithm is then selected from a plurality of hierarchical algorithms, wherein the step of selection is based on a predetermined metric and wherein the hierarchical algorithms were developed using a learned approach and at least one of the hierarchical algorithms is operable to increase the quality of the lower-quality visual data. ... Magic Pony Technology Limited

Accelerating machine optimisation processes

A method for training learned hierarchical algorithms, the method comprising the steps of receiving input data and generating metrics from the input data. At least one hierarchical algorithm is then selected from a plurality of predetermined hierarchical algorithms based on comparing the generated metrics from the input data and like metrics for each of the plurality of predetermined hierarchical algorithms. ... Magic Pony Technology Limited

In-loop post filtering for video encoding and decoding

The present disclosure relates to an enhanced in-loop filter for an encoding or decoding process. According to an aspect of the disclosure, there is provided method of post filtering video data in an encoding or decoding process using hierarchical algorithms, the method comprising steps of: receiving one or more input pictures of video data; transforming, using one or more hierarchical algorithms, the one or more input pictures of video data to one or more pictures of transformed video data; and outputting the one or more transformed pictures of video data; wherein the transformed pictures of video data are enhanced for use within the encoding or decoding loop and wherein the method is performed in-loop within the encoding or decoding process.. ... Magic Pony Technology Limited

Motion estimation through machine learning

Use of machine learning to improve motion estimation in video encoding. According to a first aspect, there is provided a method for estimating the motion between pictures of video data using a hierarchical algorithm, the method comprising steps of: receiving one or more input pictures of video data; identifying, using a hierarchical algorithm, one or more reference elements in one or more reference pictures of video data that are similar to one or more input elements in the one or more input pictures of video data; determining an estimated motion vector relating the identified one or more reference elements to the one or more input elements; and outputting an estimated motion vector.. ... Magic Pony Technology Limited

Motion compensation using temporal picture interpolation

The present disclosure relates to the use of hierarchical algorithms to temporally interpolate enhanced reference pictures for use in video encoding and decoding. According to a first aspect, there is provided a method of generating enhanced reference pictures in a video encoding and/or decoding process, the method comprising: receiving one or more known reference elements of video data from a reference picture buffer; generating, using one or more hierarchical algorithms, one or more additional reference elements of video data from the one or more known reference elements of video data; and outputting the one or more additional reference elements of video data; wherein the generating the one or more additional reference elements of video data from the one or more known reference elements of video data comprises the use of temporal interpolation.. ... Magic Pony Technology Limited

Motion compensation using machine learning

Use of machine learning to improve motion compensation in video encoding. According to a first aspect, there is provided a method for motion compensation in video data using hierarchical algorithms, the method comprising the steps of: receiving one or more original blocks of video data and one or more reference blocks of video data; determining, using one or more hierarchical algorithms, one or more predicted blocks of video data from the one or more reference blocks of video data; and calculating one or more residual blocks of video data from the one or more predicted blocks of video data and the one or more original blocks of video data.. ... Magic Pony Technology Limited

Encoder pre-analyser

The present disclosure relates to analysing input data, prior to encoding, using one or more hierarchical algorithms. According to a first aspect, there is provided a method for producing output data using one or more input data and one or more hierarchical algorithms, comprising the steps of applying the hierarchical algorithm to the one or more input data; and producing output data to be used by an encoder; wherein one of the one or more input data is uncompressed; and wherein the output data is used to modify a decision making process associated with the encoder.. ... Magic Pony Technology Limited

Video encoding using hierarchical algorithms

The present disclosure relates to encoding visual data comprising a plurality of layers using one or more hierarchical algorithms. According to an aspect, there is provided a method of encoding visual data using a plurality of layers wherein each layer encodes a different representation, and wherein one or more of the plurality of layers comprises one or more hierarchical algorithms, the method comprising the steps of: extracting one or more samples within each of the plurality of layers; and processing within each layer the one or more samples extracted in the layer; wherein in at least one of the plurality of layers the step of processing comprises applying the one or more hierarchical algorithms to the samples extracted in the layer in relation to any inter-layer prediction; and wherein the step of processing reduces a predetermined mathematical distortion between samples of a first layer and samples of a second layer.. ... Magic Pony Technology Limited

Multiscale 3d texture synthesis

Generating texture maps for use in rendering visual output. According to a first aspect, there is provided a method for generating textures for use in rendering visual output, the method comprising the steps of: generating, using a first hierarchical algorithm, a first texture from one or more sets of initialisation data; and selectively refining the first texture, using one or more further hierarchical algorithms, to generate one or more further textures from at least a section of the first texture and one or more sets of further initialisation data; wherein at least a section of each of the one or more further textures differs from the first texture.. ... Magic Pony Technology Limited

05/03/18 / #20180122048

Generative methods of super resolution

A method for training an algorithm to process at least a section of received visual data using a training dataset and reference dataset. The method comprises an iterative method with iterations comprising: generating a set of training data using the algorithm; comparing one or more characteristics of the training data to one or more characteristics of at least a section of the reference dataset; and modifying one or more parameters of the algorithm to optimise processed visual data based on the comparison between the characteristic of the training data and the characteristic of the reference dataset. ... Magic Pony Technology Limited

05/03/18 / #20180122047

Super resolution using fidelity transfer

Systems and methods for developing improved-fidelity visual data using fidelity data and using a hierarchical algorithm are provided. An example method includes receiving at least a plurality of neighbouring sections of visual data, selecting a plurality of input sections from the received plurality of neighbouring sections of visual data, extracting features from the plurality of input sections of visual data, and producing the improved-fidelity visual data by applying the fidelity data to the extracted features.. ... Magic Pony Technology Limited

05/03/18 / #20180121769

Visual data processing using energy networks

The present disclosure relates to a method for processing input visual data using a generated algorithm based upon input visual data and the output of a calculated energy function. According to a first aspect of the disclosure, there is provided a method for enhancing input visual data using an algorithm, the method comprising evaluating gradients of the output of an energy function with respect to the input visual data; using the gradient output to enhance the input visual data; and outputting the enhanced visual data.. ... Magic Pony Technology Limited

12/28/17 / #20170374374

Offline training of hierarchical algorithms

A method for increasing the quality of a section of visual data communicated over a network from a first node to a second node, the method at the second node including receiving a lower-quality visual data via a network, receiving a corresponding reference to an algorithm operable to increase a quality of the lower-quality visual data, the algorithm selected based on a higher-quality visual data from which the lower-quality visual data was generated, and using the algorithm to increase the quality of the lower-quality visual data to recreate the higher-quality visual data.. . ... Magic Pony Technology Limited

11/30/17 / #20170347110

Online training of hierarchical algorithms

A method for enhancing at least a section of lower-quality visual data using a hierarchical algorithm, the method comprising receiving at least a plurality of neighbouring sections of lower-quality visual data. A plurality of input sections from the received plurality of neighbouring sections of lower quality visual data are selected and features are extracted from those plurality of input sections of lower-quality visual data. ... Magic Pony Technology Limited

11/30/17 / #20170347061

Machine learning for visual processing

A method for developing an enhancement model for low-quality visual data, the method comprising the steps of receiving one or more sections of higher-quality visual data; and training a hierarchical algorithm. The hierarchical algorithm is operable to increase the quality of one or more sections of lower-quality visual data so as to substantially reproduce the one or more sections of higher-quality visual data. ... Magic Pony Technology Limited

11/30/17 / #20170347060

Visual processing using sub-pixel convolutions

A method for enhancing one or more sections of lower-quality visual data using a hierarchical algorithm, the method comprising receiving one or more sections of lower-quality visual data. The one or more sections of lower-quality visual data are enhanced to one or more sections of higher-quality visual data using the hierarchical algorithm. ... Magic Pony Technology Limited

11/30/17 / #20170345130

Enhancing visual data using and augmenting model libraries

A method for enhancing visual data when communicating visual data over a network from a first node to a second node. The method at the first node comprises developing at least one modified hierarchical algorithm from a known hierarchical algorithm operable to substantially recreate at least one section of higher-quality visual data. ... Magic Pony Technology Limited








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