Abstract: A method for distributing an audiovisual content to a terminal is disclosed. The content is received by the terminal in the form of a succession of consecutive segments, each segment being distributed to the terminal following a transmission of a request by the terminal and being obtained by an application of a workflow to a portion of the content.

Abstract: An elementary module of a workflow of an audiovisual content distribution system, each content being received by a terminal in the form of a succession of segments, each segment being distributed to the terminal following transmission of a request by terminal and being obtained by an application of a workflow to a portion of content. The elementary module executes a processing of a predefined type and comprises: a variable plurality of processing units available for executing said processing; a scaling module, able to determine, using a first model, a number of processing units to be allocated for an implementation of a set of processing operations requested of said elementary module; and a load management module able to choose, using a second model, for each processing operation requested, one processing unit among processing units allocated by the scaling module for performing processing, each model being a neural network of the deep learning type.

Abstract: An elementary module of a workflow of a system for distributing audiovisual contents is disclosed. Content is received as a succession of segments which are distributed following a transmission of a request and are obtained by an application of a workflow to a portion of a content. The elementary module executes a processing operation of a predefined type of the workflow and comprises: a variable plurality of processing units available for executing the processing operation of the predefined type, the elementary module regularly obtaining information representing each processing unit added to or removed from the plurality, an allocation module able to manage allocations or disallocations of processing units of the plurality according to requests for first data received; and a load management module able to choose, for each request received, at least one processing unit among the processing units allocated for processing second data in order to obtain first data requested.

Abstract: An elementary module of a workflow of an audiovisual content distribution system, each content being received by a terminal in the form of a succession of segments, each segment being distributed to the terminal following transmission of a request by terminal and being obtained by an application of a workflow to a portion of content. The elementary module executes a processing of a predefined type and comprises: a variable plurality of processing units available for executing said processing; a scaling module, able to determine, using a first model, a number of processing units to be allocated for an implementation of a set of processing operations requested of said elementary module; and a load management module able to choose, using a second model, for each processing operation requested, one processing unit among processing units allocated by the scaling module for performing processing, each model being a neural network of the deep learning type.

Abstract: An elementary module of a workflow of a system for distributing audiovisual contents is disclosed. Content is received as a succession of segments which are distributed following a transmission of a request and are obtained by an application of a workflow to a portion of a content. The elementary module executes a processing operation of a predefined type of the workflow and comprises: a variable plurality of processing units available for executing the processing operation of the predefined type, the elementary module regularly obtaining information representing each processing unit added to or removed from the plurality, an allocation module able to manage allocations or disallocations of processing units of the plurality according to requests for first data received; and a load management module able to choose, for each request received, at least one processing unit among the processing units allocated for processing second data in order to obtain first data requested.

Abstract: A method for distributing an audiovisual content to a terminal is disclosed. The content is received by the terminal in the form of a succession of consecutive segments, each segment being distributed to the terminal following a transmission of a request by the terminal and being obtained by an application of a workflow to a portion of the content.

Abstract: A method for broadcasting images from a video sequence, the method comprising, at the level of broadcasting equipment: including images in an output stream for transmission to at least one restoration equipment, receiving feedback from said restoration equipment of error messages relating to the restoration of the images from the video sequence, analyzing the error messages in order to identify images or parts of images not restored or badly restored and determining response messages including correction images or image parts. The method furthermore comprising determining a level of seriousness for each error message according to the analysis performed and deciding to return a response message relating to an error message according to the level of seriousness of that error message.

Abstract: A video coding method, comprising the following steps: a) successive images (F) of a video sequence are coded to generate coding parameters, b) the coding parameters are included in an output stream (?) to be transmitted to a station (B) including a decoder (2), c) back channel information on reconstruction of the images of the video sequence by the decoder is received from said station, d) the back channel information is analyzed in order: d1) to identify a reconstructed image that includes a portion that has been lost in the decoder, d2) to identify in the subsequent coded images between said reconstructed image and a current image to be coded an image portion that refers to said lost portion identified in the step d1), e) said current image of the video sequence is coded in a coding mode that is a function of the identification or non-identification of a lost portion in the step d).

Abstract: The invention relates to a method and a device for regulating the encoding bit rate of video images relative to a target image size). The images being subdivided into zones to be encoded, the complexity of encoding of each zone is distinguished among the zones, the zones to be encoded are classified according to a determined order of complexity, each zone is successively encoded according to the decreasing order of complexity, successively minimizing the estimated encoding error of each zone, the final size of each image relative to the target size and the bit rate of the sequence of video images. Application to the video encoding of images of video sequences, in particular to networked video surveillance.

Abstract: The invention relates to a method and a device for regulating the encoding bit rate of video images relative to a target image size. The images being subdivided into zones to be encoded, the complexity of encoding of each zone is distinguished among the zones, the zones to be encoded are classified according to a determined order of complexity, each zone is successively encoded according to the decreasing order of complexity, successively minimizing the estimated encoding error of each zone, the final size of each image relative to the target size and the bit rate of the sequence of video images. Application to the video encoding of images of video sequences, in particular to networked video surveillance.

Abstract: A video coding method, comprising the following steps: a) successive images (F) of a video sequence are coded to generate coding parameters, b) the coding parameters are included in an output stream (?) to be transmitted to a station (B) including a decoder (2), c) back channel information on reconstruction of the images of the video sequence by the decoder is received from said station, d) the back channel information is analyzed in order: d1) to identify a reconstructed image that includes a portion that has been lost in the decoder, d2) to identify in the subsequent coded images between said reconstructed image and a current image to be coded an image portion that refers to said lost portion identified in the step d1), e) said current image of the video sequence is coded in a coding mode that is a function of the identification or non-identification of a lost portion in the step d).

Abstract: Successive images (F) of a video sequence are encoded in order in generate parameters which are included in an output flow (F) that is to be transmitted to a decoder. The encoding of certain images is effected in Inter mode relative to one or several previous images of the sequence. The output flow also includes long term marking commands for certain images and demarking commands for previously marked images. Each long-term marked image is kept in a memory by the decoder until a corresponding demarking command is received. Return information on the restoration of the images of the video sequence by the decoder is received by the encoder (1) and analyzed in order to identify an image that has been lost by the decoder. It is possible to encode a following image of the sequence in Inter mode in relation to a long-term marked image in response to identification of an image lost to the decoder.

Abstract: Successive images of a video image are encoded in order to generate parameters which are included in an output flow that is to be transmitted to a decoder. The encoding of certain images is carried out in inter mode in relation to one or several previous images of the sequence, said previous images being temporarily stored in an image memory. Return information on the restoration of the images of the video sequence by the decoder are received by the encoder and analyzed in order to evaluate the time lag of the return channel in relation to the transmission of the output flow. The encoder determines an amount of memory allocated to the image memory in the decoder according to the evaluated time lag and indicates said amount of memory to the decoder.