Display apparatus, server, system and information-providing methods thereof

    公开(公告)号:US11386665B2

    公开(公告)日:2022-07-12

    申请号:US16960666

    申请日:2018-12-20

    Abstract: The disclosure relates to an electronic apparatus, a method of controlling the same, and a computer program product, the electronic apparatus including: a memory configured to store an instruction; and a processor configured to execute the instruction to: extract video features of frames from a plurality of frames of video content, extract text features from transcript information of the video content, identify importance scores of the frames based on the video features and the text features, and select a key frame of the video content among the plurality of frames based on the identified importance scores. Thus, it is possible to provide faithful information about content to a user through the video summary considering not only the video features but also the text features.

    Server apparatus and method for controlling same

    公开(公告)号:US10750239B2

    公开(公告)日:2020-08-18

    申请号:US16328055

    申请日:2017-07-04

    Abstract: Disclosed is a server apparatus. The server apparatus comprises: a communication unit for receiving, from an external server, multiple first viewing log data for each of a plurality of first users using a first broadcast receiving apparatus and multiple user information of each of the plurality of first users; and a processor for updating a predictive model for predicting, from the viewing log data, the number of users using the broadcast receiving apparatus and user information of each of the users, on the basis of the received multiple first viewing log data and the received multiple user information, wherein, when second viewing log data is received from a second broadcast receiving apparatus through the communication unit, the processor predicts, using the updated predictive model, the number of users using the second broadcast receiving apparatus and user information of each of the users.

    Mosaic generation apparatus and method

    公开(公告)号:US11250542B2

    公开(公告)日:2022-02-15

    申请号:US17026926

    申请日:2020-09-21

    Abstract: A mosaic generation apparatus includes: a display outputting an image, a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to: extract a first feature value from one of a plurality of sub-base areas included in a base image, extract a second feature value from one source image selected from among a plurality of source images, and generate a sub-mosaic corresponding to the one sub-base area using the first feature value and the second feature value.

    Computing apparatus and operation method of the same

    公开(公告)号:US11640650B2

    公开(公告)日:2023-05-02

    申请号:US17030905

    申请日:2020-09-24

    Abstract: Provided are a computing apparatus for constructing a mosaic image and an operation method of the same. The computing apparatus includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to: segment an input image into a plurality of sub areas to obtain a plurality of sub area images, extract a feature from each of the plurality of sub area images, generate a plurality of source images respectively corresponding to the plurality of sub areas using an image generation neural network, the image generation neural network using, as a condition, the feature extracted from each of the plurality of sub area images, and combine the plurality of source images respectively corresponding to the plurality of sub areas to generate a mosaic image.

    Server and control method thereof

    公开(公告)号:US11625560B2

    公开(公告)日:2023-04-11

    申请号:US16765655

    申请日:2018-11-12

    Abstract: A server and a control method thereof are provided. The server includes a communicator configured to communicate with an external apparatus; and a processor configured to: receive an image from the external apparatus via the communicator, process the received image by applying a plurality of image analysis models of which an analysis type for the image is different from each other, to the received image, and generate analysis result information about the image respectively corresponding to a plurality of analysis types according to the processing of the received image. With this, more various types of image analysis information may be provided with respect to one image. At least a portion of the analysis of the image, the processing and the generation may be carried out using at least one of a machine learning, a nerve network or a deep learning algorithm as a rule based or artificial intelligence algorithm.

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