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公开(公告)号：US11375209B2
公开(公告)日：2022-06-28
申请号：US16895430
申请日：2020-06-08
Inventor： Xiaoming Wang , Huaifei Xing , Wenpeng Ding , Huifeng Shen , Feifei Cao
IPC: H04N19/172 , H04N19/167
Abstract: Embodiments of the present disclosure relate to a method and apparatus for processing a video frame. The method may include: acquiring a sequence of video frames of a video; ascertaining, in the sequence of the video frames, a previous frame, and ascertaining, in the sequence of the video frames, a subsequent frame corresponding to the ascertained previous frame based on acquired number of frames from the previous frame to the subsequent frame. An update step is performed as follows: acquiring object regions detected respectively in the ascertained previous frame and the ascertained subsequent frame, and confidence levels of the object regions; fusing a confidence level of a first object region and a confidence level of a second object region, and updating the confidence level of the second object region based on the fusion result; and updating the ascertained previous frame and the ascertained subsequent frame.
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公开(公告)号：US20210192217A1
公开(公告)日：2021-06-24
申请号：US16892910
申请日：2020-06-04
Inventor： Xiaoming Wang , Huaifei Xing , Wenpeng Ding , Huifeng Shen , Feifei Cao
Abstract: Embodiments of the present disclosure relate to a method and apparatus for processing a video. The method may include: acquiring object regions obtained by performing object detection on a target video frame, a type of an object in each of the object regions being a preset type; determining, for an object region in the acquired object regions, in response to determining that the object region satisfies a preset condition, that the object region is a non-ROI; using an object region other than the non-ROI in the object regions of the target video frame as a ROI; and acquiring a quantization parameter change corresponding to each ROI, and encoding the target video frame based on the quantization parameter change.
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公开(公告)号：US11659181B2
公开(公告)日：2023-05-23
申请号：US16892910
申请日：2020-06-04
Inventor： Xiaoming Wang , Huaifei Xing , Wenpeng Ding , Huifeng Shen , Feifei Cao
IPC: G06K9/00 , H04N19/124 , G06T7/70 , G06V20/40 , G06V10/25 , G06V40/10 , G06F18/22 , G06V10/80 , H04N19/102 , H04N19/167 , G06V10/22 , G06V10/764 , H04N19/169 , H04N19/115 , G06V10/28 , H04N19/17
CPC classification number: H04N19/124 , G06F18/22 , G06T7/70 , G06V10/22 , G06V10/25 , G06V10/28 , G06V10/764 , G06V10/811 , G06V20/41 , G06V40/10 , H04N19/102 , H04N19/115 , H04N19/167 , H04N19/169 , H04N19/17 , G06T2207/10016
Abstract: Embodiments of the present disclosure relate to a method and apparatus for processing a video. The method may include: acquiring object regions obtained by performing object detection on a target video frame, a type of an object in each of the object regions being a preset type; determining, for an object region in the acquired object regions, in response to determining that the object region satisfies a preset condition, that the object region is a non-ROI; using an object region other than the non-ROI in the object regions of the target video frame as a ROI; and acquiring a quantization parameter change corresponding to each ROI, and encoding the target video frame based on the quantization parameter change.
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公开(公告)号：US20210195214A1
公开(公告)日：2021-06-24
申请号：US16895430
申请日：2020-06-08
Inventor： Xiaoming Wang , Huaifei Xing , Wenpeng Ding , Huifeng Shen , Feifei Cao
IPC: H04N19/172 , H04N19/167
Abstract: Embodiments of the present disclosure relate to a method and apparatus for processing a video frame. The method may include: acquiring a sequence of video frames of a video; ascertaining, in the sequence of the video frames, a previous frame, and ascertaining, in the sequence of the video frames, a subsequent frame corresponding to the ascertained previous frame based on acquired number of frames from the previous frame to the subsequent frame. An update step is performed as follows: acquiring object regions detected respectively in the ascertained previous frame and the ascertained subsequent frame, and confidence levels of the object regions; fusing a confidence level of a first object region and a confidence level of a second object region, and updating the confidence level of the second object region based on the fusion result; and updating the ascertained previous frame and the ascertained subsequent frame.
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