Video data processing
    2.
    发明授权

    公开(公告)号:US11871017B2

    公开(公告)日:2024-01-09

    申请号:US17723857

    申请日:2022-04-19

    CPC classification number: H04N19/40 H04N19/136 H04N19/154

    Abstract: A video data processing method is provided. In the method, video features of a target video are acquired. The video features include background features and key part region features. An expected quality of a key part of the target video is acquired. The expected quality of the key part corresponds to an image quality of the key part in a transcoded target video after the target video is transcoded. A background prediction transcoding parameter of the target video is determined based on the background features and an expected quality of a background. The expected quality of the background corresponds to an overall image quality of the transcoded target video. A target transcoding parameter prediction value is determined based on the background features, the key part region features, and the background prediction transcoding parameter. The target video is transcoded according to the target transcoding parameter prediction value.

    Information processing method and apparatus

    公开(公告)号:US10235624B2

    公开(公告)日:2019-03-19

    申请号:US15108758

    申请日:2015-06-11

    Abstract: An information processing method and apparatus, the method including: training a Deep Neural Network (DNN) by using an evaluation object seed, an evaluation term seed and an evaluation relationship seed (101); at a first input layer, connecting vectors corresponding to a candidate evaluation object, a candidate evaluation term and a candidate evaluation relationship to obtain a first input vector (102); at a first hidden layer, compressing the first input vector to obtain a first middle vector, and at a first output layer, decoding the first middle vector to obtain a first output vector (103); and determining a first output vector whose decoding error value is less than a decoding error value threshold, and determining a candidate evaluation object, a candidate evaluation term and a candidate evaluation relationship corresponding to the determined first output vector as first opinion information (104). By use of the technical solution, precision of extracting opinion information from an evaluation text can be enhanced.

Patent Agency Ranking