公开(公告)号：US11889096B2

公开(公告)日：2024-01-30

申请号：US16914083

申请日：2020-06-26

申请人： INTEL CORPORATION

发明人： Chen Wang ,  Ximin Zhang ,  Huan Dou ,  Yi-Jen Chiu ,  Sang-Hee Lee

IPC分类号： G06T9/00 ,  G06T3/40 ,  H04N19/44 ,  H04N19/30 ,  G06N3/08 ,  H04N19/159 ,  H04N19/184 ,  H04N19/176 ,  H04N19/132 ,  G06F18/25 ,  G06V10/82

CPC分类号： H04N19/44 ,  G06F18/251 ,  G06N3/08 ,  G06T3/4007 ,  G06T3/4053 ,  G06T9/002 ,  G06V10/82 ,  H04N19/132 ,  H04N19/159 ,  H04N19/176 ,  H04N19/184 ,  H04N19/30

摘要： Techniques related to accelerated video enhancement using deep learning selectively applied based on video codec information are discussed. Such techniques include applying a deep learning video enhancement network selectively to decoded non-skip blocks that are in low quantization parameter frames, bypassing the deep learning network for decoded skip blocks in low quantization parameter frames, and applying non-deep learning video enhancement to high quantization parameter frames.

公开(公告)号：US20240153033A1

公开(公告)日：2024-05-09

申请号：US18281947

申请日：2021-06-16

申请人： Intel Corporation

发明人： Chen Wang ,  Huan Dou ,  Sang-Hee Lee ,  Yi-Jen Chiu ,  Lidong Xu

IPC分类号： G06T3/4053 ,  G06T3/4046 ,  G06T7/11 ,  G06T7/40

CPC分类号： G06T3/4053 ,  G06T3/4046 ,  G06T7/11 ,  G06T7/40 ,  G06T2207/10016 ,  G06T2207/20084 ,  G06V10/82

摘要： A method, system, and article is directed to automatic content-dependent image processing algorithm selection.

公开(公告)号：US20230054523A1

公开(公告)日：2023-02-23

申请号：US17793348

申请日：2020-02-17

申请人： Intel Corporation

发明人： Huan Dou ,  Lidong Xu ,  Xiaoxia Cai ,  Chen Wang ,  Yi-Jen Chiu

IPC分类号： H04N5/232 ,  G06T5/00 ,  H04N19/597 ,  H04N19/80 ,  H04N19/86

摘要： An example apparatus for enhancing video includes a decoder to decode a received 360-degree projection format video bitstream to generate a decoded 360-degree projection format video. The apparatus also includes a viewport generator to generate a viewport from the decoded 360-degree projection format video. The apparatus further includes a convolutional neural network (CNN)-based filter to remove an artifact from the viewport to generate an enhanced image. The apparatus further includes a displayer to send the enhanced image to a display.

公开(公告)号：US20240214594A1

公开(公告)日：2024-06-27

申请号：US18404696

申请日：2024-01-04

申请人： Intel Corporation

发明人： Chen Wang ,  Ximin Zhang ,  Huan Dou ,  Yi-Jen Chiu ,  Sang-Hee Lee

IPC分类号： H04N19/44 ,  G06F18/25 ,  G06N3/08 ,  G06T3/4007 ,  G06T3/4053 ,  G06T9/00 ,  G06V10/82 ,  H04N19/132 ,  H04N19/159 ,  H04N19/176 ,  H04N19/184 ,  H04N19/30

CPC分类号： H04N19/44 ,  G06F18/251 ,  G06N3/08 ,  G06T3/4007 ,  G06T3/4053 ,  G06T9/002 ,  G06V10/82 ,  H04N19/132 ,  H04N19/159 ,  H04N19/176 ,  H04N19/184 ,  H04N19/30

摘要： Techniques related to accelerated video enhancement using deep learning selectively applied based on video codec information are discussed. Such techniques include applying a deep learning video enhancement network selectively to decoded non-skip blocks that are in low quantization parameter frames, bypassing the deep learning network for decoded skip blocks in low quantization parameter frames, and applying non-deep learning video enhancement to high quantization parameter frames.

公开(公告)号：US20230052483A1

公开(公告)日：2023-02-16

申请号：US17793341

申请日：2020-02-17

申请人： Intel Corporation

发明人： Xiaoxia Cai ,  Chen Wang ,  Huan Dou ,  Yi-Jen Chiu ,  Lidong Xu

IPC分类号： G06T3/40 ,  G06T1/60

摘要： An apparatus for super resolution imaging includes a convolutional neural network (104) to receive a low resolution frame (102) and generate a high resolution illuminance component frame. The apparatus also includes a hardware scaler (106) to receive the low resolution frame (102) and generate a second high resolution chrominance component frame. The apparatus further includes a combiner (108) to combine the high resolution illuminance component frame and the high resolution chrominance component frame to generate a high resolution frame (110).

公开(公告)号：US12132995B2

公开(公告)日：2024-10-29

申请号：US17793348

申请日：2020-02-17

申请人： Intel Corporation

发明人： Huan Dou ,  Lidong Xu ,  Xiaoxia Cai ,  Chen Wang ,  Yi-Jen Chiu

IPC分类号： H04N23/698 ,  G06T5/77 ,  H04N19/597 ,  H04N19/80 ,  H04N19/86

CPC分类号： H04N23/698 ,  G06T5/77 ,  H04N19/597 ,  H04N19/80 ,  H04N19/86 ,  G06T2207/20081 ,  G06T2207/20084

摘要： An example apparatus for enhancing video includes a decoder to decode a received 360-degree projection format video bitstream to generate a decoded 360-degree projection format video. The apparatus also includes a viewport generator to generate a viewport from the decoded 360-degree projection format video. The apparatus further includes a convolutional neural network (CNN)-based filter to remove an artifact from the viewport to generate an enhanced image. The apparatus further includes a displayer to send the enhanced image to a display.

公开(公告)号：US20200327702A1

公开(公告)日：2020-10-15

申请号：US16914083

申请日：2020-06-26

申请人： INTEL CORPORATION

发明人： Chen Wang ,  Ximin Zhang ,  Huan Dou ,  Yi-Jen Chiu ,  Sang-Hee Lee

IPC分类号： G06T9/00 ,  G06T3/40 ,  H04N19/30 ,  H04N19/132 ,  H04N19/159 ,  H04N19/184 ,  H04N19/176 ,  G06K9/62 ,  G06N3/08

摘要： Techniques related to accelerated video enhancement using deep learning selectively applied based on video codec information are discussed. Such techniques include applying a deep learning video enhancement network selectively to decoded non-skip blocks that are in low quantization parameter frames, bypassing the deep learning network for decoded skip blocks in low quantization parameter frames, and applying non-deep learning video enhancement to high quantization parameter frames.