公开(公告)号：US20210241498A1

公开(公告)日：2021-08-05

申请号：US17301070

申请日：2021-03-24

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Hao SUN ,  Fu LI ,  Xin LI ,  Tianwei LIN

IPC: G06T11/00 ,  G06K9/00 ,  G06K9/62 ,  G06T7/11 ,  G06T3/00 ,  G06F16/583

Abstract: The disclosure provides a method for processing an image, an electronic device, and a storage medium, belonging to a field of computer vision and deep learning. An image including a face figure is acquired. Facial feature information matching the face figure is extracted. A style of the image is converted to a preset drawing style based on the facial feature information to obtain a style transferred image.

公开(公告)号：US20210227302A1

公开(公告)日：2021-07-22

申请号：US17026488

申请日：2020-09-21

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Fu LI ,  Dongliang HE ,  Hao SUN

IPC: H04N21/81 ,  H04N21/8549 ,  H04N21/658 ,  H04N21/234

Abstract: Embodiments of the present disclosure relate to a method and apparatus for selecting a video clip, a server and a medium. The method may include: determining at least two video clips from a video; for each video clip, perform following excitement determination steps: inputting a feature sequence of a video frame in the video clip and title information of the video into a pre-established prediction model to obtain a relevance between the inputted video frame and a title of the video; and determining an excitement of the video clip, based on the relevance between the video frame in the video clip and the title; and determining a target video clip from the video clips, based on the excitement of each of the video clips.

公开(公告)号：US20210201448A1

公开(公告)日：2021-07-01

申请号：US17203437

申请日：2021-03-16

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Chao LI ,  Dongliang HE ,  Fu LI ,  Hao SUN

IPC: G06T3/40 ,  G06T9/00 ,  G06T11/40 ,  G06T11/60 ,  G06K9/62

Abstract: An image filling method and apparatus, a device and a storage medium are disclosed. The image filling method includes: performing multilevel encoding processing on features of an image to be filled to generate multilevel encoded feature layers, sizes of the multilevel encoded feature layers being reduced layer by layer; performing layer-by-layer decoding processing on the multilevel encoded feature layers to obtain multilevel decoded feature layers and a first image, there being no missing region in the first image, wherein the layer-by-layer decoding processing includes a concatenation operation on a decoded feature layer and an encoded feature layer with a same size; and performing up-sampling processing on the first image to obtain multilevel up-sampled feature layers and a second image optimized by the up-sampling processing, the up-sampling processing including a concatenation operation on an up-sampled feature layer and a decoded feature layer with a same size.