Abstract:
A method of method of processing an image includes: determining estimates of parameters of an auto-regressive, parametric model of noise, according to which a current noise pixel is computed combining linear combination of previous noise pixels in a causal neighborhood of the current noise pixel weighted by respective model linear combination parameters with a generated noise sample corresponding to an additive Gaussian noise of model variance parameter; performing a convergence check loop, each iteration including: generating a noise template of noise pixels based on the estimated model parameters, the noise template having predetermined pixel size smaller than the image pixel size; estimating a noise template variance; if the estimated variance is below a first predetermined threshold or above a second predetermined threshold, proportionally decreasing the model linear combination parameters with a predetermined correcting factor, and performing another convergence check loop; otherwise exiting the convergence check loop.
Abstract:
A method for monitoring video streams is proposed, which comprises: generating, by one or more source encoders, encoded multimedia content signals based on the encoding of monitored video streams respectively corresponding to one or more monitoring points along a workflow chain of a video broadcasting headend configured for one or more video channels broadcasted by the headend, and transmitting the encoded multimedia content signals to a remote monitoring device through a content distribution network.
Abstract:
A method of encoding a first image in a plurality of images of input video data, wherein the first image is divided into a plurality of pixel blocks comprises, for a current block of the first image: determining a motion speed for the current block with respect to a reference block correlated to the current block in a second image of the plurality of images, wherein the second image is distinct from the first image and was previously encoded according to an image encoding sequence for encoding the images of the plurality of images; determining an interpolation filter based on the motion speed; and using the interpolation filter for calculating fractional pixel values in the second image for a temporal prediction of pixels of the current block based on the reference block of the second image.
Abstract:
A data communication method is proposed which comprises: configuring a first application interface coupled operationally to a data storage management interface, for defining a correspondence between an application data message and a memory addressing zone managed by the data storage management interface; generating a data storage command on the basis of the memory addressing zone and the application data message; and issuing, by the first application interface, the data storage command message to the data storage management interface for sending the application data message to a second application interface, through the data storage management interface.
Abstract:
A method of encoding a first image in a plurality of images of input video data, wherein the first image is divided into a plurality of pixel blocks is provided, which comprises, for a current block of the first image: determining a motion speed for the current block with respect to a reference block correlated to the current block in a second image of the plurality of images, wherein the second image is distinct from the first image and was previously encoded according to an image encoding sequence for encoding the images of the plurality of images; determining an interpolation filter based on the motion speed; and using the interpolation filter for calculating fractional pixel values in the second image for a temporal prediction of pixels of the current block based on the reference block of the second image.
Abstract:
To encode an image divided into blocks of a set of images, each block being encoded according to one of a plurality of encoding modes including at least one temporal correlation prediction encoding mode utilizing a plurality of images, a motion estimation vector search area is defined in a second image of the set of images, distinct from the first image and previously encoded according to a predefined sequence of encoding images of the set of images, a portion at least of the search area having substantially the shape of an ovoid, the data from the search area is stored in a cache memory, a motion estimation vector of the current block is determined by a search in the search area in the cache memory, and the motion estimation vector is used to decide the encoding of the current block according to the one of the plurality of encoding modes.
Abstract:
Disclosed is a method for processing noise in a digital image having multiple image portions, including: (a) Predefining: criteria of interest for denoising selected details of any image portion of the digital image; a plurality of possible processing procedures to be applied to an image portion in order to denoise the selected details, each processing procedure having an efficiency related to an associated complexity level, the possible processing procedures being ordered by increasing complexity level; (b) For each portion of the image: analyzing the image portion to quantify the presence of one or more of the selected details in the image portion, and calculating an overall interest of the image portion as a function of respective quantifications of the presences of the selected details; comparing the overall interest at the complexity levels, in order to launch the processing procedure having the complexity level corresponding to the calculated overall interest.
Abstract:
The subject matter of the present invention relates to a method and a computing device (100) for processing a video stream (IN) that makes it possible to generate at least two compressed video streams (OUT1 and OUT2), the device according to the present invention comprising:—an analysis means (M1) configured to analyse at least one image (I) of the video stream (IN) in order to determine at least one metric of said video stream (IN), and -at least first (M5—1) and second (M5—2) encoding means configured to encode, on the basis of said at least one metric, said video stream previously decimated spatially and/or temporally so as to obtain said at least two compressed video streams (OUT1, OUT2).
Abstract:
A method for managing computational resources allocated for encoding of one or more multimedia content streams for distribution in dynamic mode to viewing devices through a distribution network is proposed, which comprises, by a processing node of the distribution network: obtain, for a multimedia content stream corresponding to a channel distributed to the viewing devices, a value of a computational resource allocation criterion, wherein the computational resource allocation criterion comprises an audience measurement for the corresponding channel and a video content complexity of the multimedia content stream; and determine, based on the computational resource allocation criterion, an allocation of computational resources of a computing platform configured for encoding the multimedia content stream.
Abstract:
A method for delivering multimedia data to a user device of a multimedia data delivery system is proposed, which includes, at a server device of the multimedia data delivery system, receiving, from the user device, a query message requesting service list data. The query message includes a parameter for querying custom service list data in relation to a user of the user device, and upon receiving the query message, generating a response message for transmission to the user device which includes a list of multimedia services customized for the user based on the parameter.