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公开(公告)号:US10721471B2
公开(公告)日:2020-07-21
申请号:US15794938
申请日:2017-10-26
Applicant: Intel Corporation
Inventor: Ximin Zhang , Bin Zhu , Sang-Hee Lee , Qing Li
IPC: H04N19/124 , H04N19/167 , G06N3/04 , H04N19/184 , G06N3/10 , H04N19/59 , G06N3/08 , H04N19/159 , H04N19/172 , H04N19/136 , G06N20/20 , G06N5/00
Abstract: Techniques related to quantization parameter estimation for video coding are discussed. Such techniques may include generating features using a picture of input video received for encoding and applying a neural network to a feature vector including the features, a target bitrate, and a resolution of the picture to generate an estimated quantization parameter for encoding the picture.
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公开(公告)号:US10939264B2
公开(公告)日:2021-03-02
申请号:US15554693
申请日:2015-04-07
Applicant: Intel Corporation
IPC: H04N21/232 , H04N21/2343 , H04N21/235 , H04N21/258 , H04N21/422 , H04N21/435 , H04N21/4402 , H04N21/442 , H04N21/472 , H04N21/63 , H04W4/50 , G06F9/54 , H04L29/06 , H04L29/08 , H04N21/414 , H04W4/06
Abstract: Apparatuses, methods and storage medium associated with cloud computing for mobile client devices are disclosed herein. In embodiments, a cloud server may include one or more processors, and a mobile computing operating system to host execution of an application. The cloud server may also include a cloud application server to interact with a cloud application client of a mobile client device to provide audio and video streams to the mobile client device, and to receive touch, key and sensor events from the mobile client device, to enable the application to be executed for the mobile client device. Other embodiments may be described or claimed.
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公开(公告)号:US20190132591A1
公开(公告)日:2019-05-02
申请号:US15794938
申请日:2017-10-26
Applicant: Intel Corporation
Inventor: Ximin Zhang , Bin Zhu , Sang-Hee Lee , Qing Li
IPC: H04N19/124 , H04N19/167 , H04N19/59 , H04N19/184 , G06N3/10 , G06N3/04
Abstract: Techniques related to quantization parameter estimation for video coding are discussed. Such techniques may include generating features using a picture of input video received for encoding and applying a neural network to a feature vector including the features, a target bitrate, and a resolution of the picture to generate an estimated quantization parameter for encoding the picture.
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