公开(公告)号：US20220254070A1

公开(公告)日：2022-08-11

申请号：US17169342

申请日：2021-02-05

Applicant: QUALCOMM Incorporated

Inventor： Ankitesh Kumar SINGH ,  Cheng-Teh HSIEH ,  Marta KARCZEWICZ

IPC: G06T9/00 ,  G06T1/20 ,  G06T7/90

Abstract: The present disclosure relates to methods and devices for data or graphics processing including an apparatus, e.g., a GPU. The apparatus may receive at least one bitstream including a plurality of bits, each of the bits corresponding to a position in the at least one bitstream, and each of the bits being associated with color data. The apparatus may also arrange an order of the plurality of bits in the at least one bitstream, such that at least one of the bits corresponds to an updated position in the at least one bitstream. Additionally, the apparatus may convert, upon arranging the order of the bits, the color data associated with each of the plurality of bits in the at least one bitstream. The apparatus may also compress, upon converting the color data associated with each of the bits, the plurality of bits in the at least one bitstream.

公开(公告)号：US20220272355A1

公开(公告)日：2022-08-25

申请号：US17676510

申请日：2022-02-21

Applicant: QUALCOMM Incorporated

Inventor： Ankitesh Kumar SINGH ,  Hilmi Enes EGILMEZ ,  Muhammed Zeyd COBAN ,  Marta KARCZEWICZ

IPC: H04N19/139 ,  H04N19/186 ,  H04N5/232 ,  H04N19/172

Abstract: Systems and techniques are described herein for processing video data. In some aspects, a method can include obtain, by a machine learning system, input video data. The input video data includes one or more luminance components for a current frame. The method can include determining, by the machine learning system, motion information for the luminance component(s) of the current frame and motion information for one or more chrominance components of the current frame using the luminance component(s) for the current frame. In some cases, the method can include determining the motion information for the luminance component(s) based on the luma component(s) of the current frame and at least one reconstructed luma component of a previous frame. In some cases, the method can further include determining the motion information for the chrominance component(s) of the current frame using the motion information determined for the luminance component(s) of the current frame.

公开(公告)号：US20220191523A1

公开(公告)日：2022-06-16

申请号：US17643383

申请日：2021-12-08

Applicant: QUALCOMM Incorporated

Inventor： Hilmi Enes EGILMEZ ,  Ankitesh Kumar SINGH ,  Muhammed Zeyd COBAN ,  Marta KARCZEWICZ

IPC: H04N19/42 ,  H04N19/172 ,  H04N19/124 ,  H04N19/186 ,  H04N19/91

Abstract: Techniques are described herein for processing video data using a neural network system. For instance, a process can include generating, by a first convolutional layer of an encoder sub-network of the neural network system, output values associated with a luminance channel of a frame. The process can include generating, by a second convolutional layer of the encoder sub-network, output values associated with at least one chrominance channel of the frame. The process can include generating, by a third convolutional layer based on the output values associated with the luminance channel of the frame and the output values associated with the at least one chrominance channel of the frame, a combined representation of the frame. The process can further include generating encoded video data based on the combined representation of the frame.

公开(公告)号：US20220086463A1

公开(公告)日：2022-03-17

申请号：US17182686

申请日：2021-02-23

Applicant: QUALCOMM Incorporated

Inventor： Muhammed Zeyd COBAN ,  Ankitesh Kumar SINGH ,  Hilmi Enes EGILMEZ ,  Marta KARCZEWICZ

IPC: H04N19/186 ,  H04N19/172 ,  H04N19/90 ,  G06N3/04

Abstract: Systems and techniques are described herein for processing video data using a neural network system. For instance, a process can include generating, by a first convolutional layer of an encoder sub-network of the neural network system, output values associated with a luminance channel of a frame. The process can include generating, by a second convolutional layer of the encoder sub-network, output values associated with at least one chrominance channel of the frame. The process can include generating a combined representation of the frame by combining the output values associated with the luminance channel of the frame and the output values associated with the at least one chrominance channel of the frame. The process can include generating encoded video data based on the combined representation of the frame.