APPARATUS AND A METHOD FOR NEURAL NETWORK COMPRESSION

    公开(公告)号:US20220164652A1

    公开(公告)日:2022-05-26

    申请号:US17431012

    申请日:2020-01-29

    Abstract: There is provided an apparatus comprising means for training a neural network, wherein the training comprises applying a loss function configured to increase sparsity of a weight tensor of the neural network and to cause a plurality of non-zero elements of the weight tensor to be substantially equal to each other; and means for entropy coding the weight tensor to obtain a compressed neural network.

    METHOD AND AN APPARATUS FOR EVALUATING GENERATIVE MACHINE LEARNING MODEL

    公开(公告)号:US20190012581A1

    公开(公告)日:2019-01-10

    申请号:US16017742

    申请日:2018-06-25

    Abstract: The invention relates to a method comprising receiving a set of input samples, said set of input images comprising real images and generated images; extracting a set of feature maps from multiple layers of a pre-trained neural network for both the real images and the generated images; determining statistics for each feature map of the set of feature maps; comparing statistics of the feature maps for the real images to statistics of the feature maps for the generated images by using a distance function to obtain a vector of distances; and averaging the distances of the vector of distances to have a value indicating a diversity of the generated images. The invention also relates to technical equipment for implementing the method.

    APPARATUS, A METHOD AND A COMPUTER PROGRAM FOR VIDEO CODING AND DECODING

    公开(公告)号:US20180336702A1

    公开(公告)日:2018-11-22

    申请号:US15951976

    申请日:2018-04-12

    Abstract: A method for analyzing a presence of objects within a space provided with a capturing system comprising a plurality of camera devices and a playback system for reproducing audio and/or visual signals in the space, the method comprising obtaining a first 3D volumetric representation of a scene within the space, generated on the basis of input streams of at least a first and a second camera device, said first 3D volumetric representation showing at least one object within the scene; sending probe signals to a processing unit; controlling the processing unit to reproduce, using the playback system, one or more audio and/or visual signals on the basis of the probe signals into the space; controlling the processing unit to capture a second 3D volumetric representation of the scene including reproductions of the one or more audio and/or visual signals within the space; and analyzing the reproductions of the one or more audio and/or visual signals captured within the first space whether they correspond to a presumed location of the at least one object shown in the first 3D volumetric representation.

    Media Rendering
    16.
    发明申请
    Media Rendering 审中-公开

    公开(公告)号:US20180276476A1

    公开(公告)日:2018-09-27

    申请号:US15918881

    申请日:2018-03-12

    Abstract: A method comprising:rendering a first media scene based upon media content provided by a content-rendering application via one or more rendering devices worn by the user; determining a priority for an event that occurs near the user, the event being independent of the content-rendering application; and automatically modifying the rendered first media scene, to render a modified second media scene based at least in part upon media content provided by the content-rendering application and at least in part upon other media content associated with the event.

    A METHOD, AN APPARATUS AND A COMPUTER PROGRAM PRODUCT FOR VIDEO ENCODING AND VIDEO DECODING

    公开(公告)号:US20220164995A1

    公开(公告)日:2022-05-26

    申请号:US17430987

    申请日:2020-01-29

    Abstract: The embodiments relate to a method comprising compressing input data (I) by means of at least a neural network (E, 310); determining a compression rate for data compression; miming the neural network (E, 310) with the input data (I) to produce an output data (c); removing a number of elements from the output data (c) according to the compression rate to result in a reduced form of the output data (me); and providing the reduced form of the output data (me) and the compression rate to a decoder (D, 320). The embodiments also relate to a method comprising receiving input data (me) for decompression; decompressing the input data (me) by means of at least a neural network (D, 320); determining a decompression rate for decompressing the input data (me); miming the neural network (D, 320) with input data (me) to produce a decompressed output data (ï); padding a number of elements to the compressed input data (me) according to the decompression rate to produce an output data (ï); and providing the output data (ï).

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