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公开(公告)号:US12052427B2
公开(公告)日:2024-07-30
申请号:US17713205
申请日:2022-04-04
Inventor: Jingran Wu , Shishen Xu , Jun Zhao , Hao Li , Yaqing Li , Chengjie Tu , Zirong Zhu , Liang Wang
IPC: H04N19/146 , H04N19/159 , H04N19/172 , H04N19/34
CPC classification number: H04N19/146 , H04N19/159 , H04N19/172 , H04N19/34
Abstract: A video data processing method is provided to a server. The method includes: obtaining a video sequence associated with a video source and obtaining a video quality standard parameter associated with the video sequence; determining a video feature according to video quality standard parameter; predicting an encoding bit rate according to the video quality standard parameter and the video feature; and encoding the video sequence according to the encoding bit rate to obtain an encoded video sequence associated with the video source.
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公开(公告)号:US11871017B2
公开(公告)日:2024-01-09
申请号:US17723857
申请日:2022-04-19
Inventor: Shishen Xu , Jingran Wu , Jun Zhao , Juncheng Ma , Yaqing Li , Chengjie Tu , Liang Wang
IPC: H04N19/40 , H04N19/136 , H04N19/154
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.
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公开(公告)号:US10235624B2
公开(公告)日:2019-03-19
申请号:US15108758
申请日:2015-06-11
Inventor: Kang Liu , Huaijun Liu , Yanxiong Lu , Juhong Wang , Tingting Liu , Liheng Xu , Jun Zhao
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.
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