Method for object detection using shallow neural networks

    公开(公告)号:US10789527B1

    公开(公告)日:2020-09-29

    申请号:US16681885

    申请日:2019-11-13

    Applicant: Cortica LTD.

    Abstract: A method that may include feeding an input image and downscaled versions of the input image to multiple branches of an object detector calculating, by the multiple branches, candidate bounding boxes; and selecting bounding boxes. The multiple branches comprise multiple shallow neural networks that are followed by multiple region units. Each branch includes a shallow neural network and a region unit. The multiple shallow neural networks are multiple instances of a single trained shallow neural network. The single trained shallow neural network is trained to detect objects having a size that is within a predefined size range and to ignore objects having a size that is outside the predefined size range.

    DETERMINING OBJECT INFORMATION THAT DOES NOT EXPLICITLY APPEAR IN A MEDIA UNIT SIGNATURE

    公开(公告)号:US20200302174A1

    公开(公告)日:2020-09-24

    申请号:US16808405

    申请日:2020-03-04

    Applicant: CORTICA LTD.

    Abstract: There may be provided a method for determining object information related to an object that appears in a media element, the method may include (a) receiving or generating a signature of the media element, wherein the signature may include identifiers, wherein the identifiers may include an object identifier related to the object, wherein the object identifier points to locations of output elements, within an output of a convolutional neural network, of elements of significance in relation to the object; (b) finding a group of contributing portions of the media element that had a significant contribution to the generation, by the convolutional neural network, of the output elements of significance in relation to the object; and (c) determining object information related to the object based on a distribution of the group of the contributing portions of the media element.

    SYSTEM AND METHOD FOR CLUSTERING MULTIMEDIA CONTENT ELEMENTS

    公开(公告)号:US20200233891A1

    公开(公告)日:2020-07-23

    申请号:US16843447

    申请日:2020-04-08

    Applicant: CORTICA LTD.

    Abstract: A system and method for clustering multimedia content. The method includes: detecting at least one clustering trigger event related to at least one multimedia content element to be clustered; generating at least one signature for the at least one multimedia content element, each signature representing at least a portion of the at least one multimedia content element; determining, based on the generated at least one signature, at least one multimedia content element cluster, wherein each multimedia content element cluster includes a plurality of clustered multimedia content elements sharing at least one common concept with the at least one multimedia content element; and adding, to each determined cluster, the at least one multimedia content element.

    System and method for generating a customized augmented reality environment to a user

    公开(公告)号:US10535192B2

    公开(公告)日:2020-01-14

    申请号:US15252790

    申请日:2016-08-31

    Applicant: Cortica, Ltd.

    Abstract: Systems and methods for generating a customized augmented reality environment. A method includes causing generation of at least one signature for at least one multimedia content; causing, based on the generated at least one signature, identification of at least one matching concept, wherein each concept is a collection of signatures and metadata representing the concept; determining, based on the identified at least one matching concept, a selection of at least one augmented reality character; and generating a customized augmented reality environment, wherein the customized augmented reality environment includes each augmented reality character superimposed on the at least one multimedia content element as an overlay.

    COMPUTING DEVICE, A SYSTEM AND A METHOD FOR PARALLEL PROCESSING OF DATA STREAMS

    公开(公告)号:US20200012927A1

    公开(公告)日:2020-01-09

    申请号:US16571416

    申请日:2019-09-16

    Applicant: Cortica Ltd.

    Abstract: An apparatus for identification of an input data against one or more learned signals is provided. The apparatus comprising a number of computational cores, each core comprises properties having at least some statistical independency from other of the computational, the properties being set independently of each other core, each core being able to independently produce an output indicating recognition of a previously learned signal, the apparatus being further configured to process the produced outputs from the number of computational cores and determining an identification of the input data based the produced outputs.

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