METHODS AND DEVICES FOR DECODING AT LEAST PART OF A DATA STREAM, COMPUTER PROGRAM AND ASSOCIATED DATA STREAMS

    公开(公告)号:US20240267542A1

    公开(公告)日:2024-08-08

    申请号:US18570513

    申请日:2022-06-09

    CPC classification number: H04N19/189 H04N19/90

    Abstract: A part of a data stream includes a plurality of data units respectively associated with a plurality of images and together presenting different images of the plurality of images. The data stream part further includes differential encoding data differentially encoding an artificial neural decoding network relatively to a reference artificial neural decoding network. A method for decoding this data stream part includes the following steps: determining the artificial neural decoding network by decoding the differential coding data; and decoding at least one data unit of the plurality of data units by the determined artificial neural decoding network. Another decoding method, decoding devices, a computer program and associated data streams are also described.

    ELECTRONIC METHOD AND DEVICE FOR DECODING A DATA STREAM, AND ASSOCIATED COMPUTER PROGRAM

    公开(公告)号:US20230379506A1

    公开(公告)日:2023-11-23

    申请号:US18248023

    申请日:2021-10-01

    CPC classification number: H04N19/91 H04N19/436

    Abstract: A method for decoding a bit sequence includes applying, at the input of an artificial neural network, previously decoded values; as a result of the previously decoded values being applied, producing a context index at the output of the artificial neural network; and obtaining a new decoded value by applying a portion of the bit sequence to an entropic decoder parameterized in the context identified by the produced context index. An electronic decoding device and an associated computer program are also provided.

    METHOD FOR DECODING A DATA STREAM, ASSOCIATED DEVICE AND ASSOCIATED DATA STREAM

    公开(公告)号:US20230283836A1

    公开(公告)日:2023-09-07

    申请号:US18016598

    申请日:2021-07-13

    CPC classification number: H04N21/435 H04N21/44209

    Abstract: A data stream includes an indicator (IND) and data (Fnn) representative of a video or audio content. A method for decoding this data stream includes: decoding (E60) the indicator (IND) to determine whether an artificial neural network to be used to decode the representative data (Fnn) is encoded into the data stream or forms part of a predetermined set of artificial neural networks, and decoding (D70) the representative data (Fnn) by the artificial neural network. If it is determined, by decoding the indicator (Fnn) that the artificial neural network forms part of the aforementioned predetermined set, the method includes decoding (E62) an identifier (Inn) of the neural network. Associated decoding devices and associated data streams are also described.

    METHOD AND ELECTRONIC DEVICE FOR DECODING A DATA STREAM, AND ASSOCIATED COMPUTER PROGRAM AND DATA STREAMS

    公开(公告)号:US20230370087A1

    公开(公告)日:2023-11-16

    申请号:US18029545

    申请日:2021-09-28

    CPC classification number: H03M7/6005 H03M7/3079 H03M7/3066

    Abstract: A method for decoding a data stream, including a plurality of identifiers and a bit sequence, into a sequence of data of respective predetermined types includes the following operations for obtaining each item of data of the sequence: determining a context on the basis of an identifier, from among the plurality of identifiers, with the type of the relevant item of data; and decoding one portion of the bit sequence by an entropic decoder which receives the bit sequence as an input and is parameterized in the determined context. An electronic decoding device and an associated computer program are also provided.

    PARALLELIZED VIDEO DECODING USING A NEURAL NETWORK

    公开(公告)号:US20230283790A1

    公开(公告)日:2023-09-07

    申请号:US18016568

    申请日:2021-07-13

    CPC classification number: H04N19/436 H04N19/90

    Abstract: In a method for decoding a data stream by way of an electronic device (10) including a processor (14), and a parallelized processing unit (16) designed to perform a plurality of operations of the same type in parallel at a given time, the data stream includes a first dataset (Fet) and a second dataset (Fnn) representative of audio or video content. The decoding method includes the processor (14) processing data from the first dataset (Fet), obtaining the audio or video content by processing (E70) data from the second dataset (Fnn) using a process depending at least partially on the data from the first set (Fet) and using an artificial neural network (18) implemented by the parallelized processing unit (16).

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