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公开(公告)号:US20210174537A1
公开(公告)日:2021-06-10
申请号:US16894123
申请日:2020-06-05
Inventor: Xiaoqing Ye , Xiao Tan , Wei Zhang , Hao Sun , Errui Ding
Abstract: Embodiments of the present disclosure provide a method and apparatus for detecting a target object in an image. The method includes: performing following prediction operations using a pre-trained neural network: detecting a target object in a two-dimensional image to determine a two-dimensional bounding box of the target object; and determining a relative position constraint relationship between the two-dimensional bounding box of the target object and a three-dimensional projection bounding box obtained by projecting a three-dimensional bounding box of the target object into the two-dimensional image; and the method further including: determining the three-dimensional projection bounding box of the target object, based on the two-dimensional bounding box of the target object and the relative position constraint relationship between the two-dimensional bounding box of the target object and the three-dimensional projection bounding box.
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公开(公告)号:US20210064919A1
公开(公告)日:2021-03-04
申请号:US16869024
申请日:2020-05-07
Inventor: Wei Zhang , Xiao Tan , Hao Sun , Shilei Wen , Errui Ding
Abstract: Embodiments of the present disclosure disclose a method and apparatus for processing an image. A specific embodiment of the method includes: acquiring a feature map of a target image, where the target image contains a target object; determining a local feature map of a target size in the feature map; combining features of different channels in the local feature map to obtain a local texture feature map; and obtaining location information of the target object based on the local texture feature map.
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公开(公告)号:US20200374526A1
公开(公告)日:2020-11-26
申请号:US16797911
申请日:2020-02-21
Inventor: Zhichao Zhou , Dongliang He , Fu Li , Xiang Zhao , Xin Li , Zhizhen Chi , Xiang Long , Hao Sun
IPC: H04N19/14 , H04N19/12 , H04N19/625 , G06N3/08
Abstract: A method, device, apparatus for predicting a video coding complexity and a computer-readable storage medium are provided. The method includes: acquiring an attribute feature of a target video; extracting a plurality of first target image frames from the target video; performing a frame difference calculation on the plurality of the first target image frames, to acquire a plurality of first frame difference images; determining a histogram feature for frame difference images of the target video according to a statistical histogram of each first frame difference image; and inputting a plurality of features of the target video into a coding complexity prediction model to acquire a coding complexity prediction value of the target video. Through the above method, the BPP prediction value can be acquired intelligently.
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