公开(公告)号：US11198065B2

公开(公告)日：2021-12-14

申请号：US16849805

申请日：2020-04-15

Applicant: GOOGLE LLC

Inventor： Clinton Smullen ,  Dov Zimring ,  Jani Huoponen ,  Aki Kuusela ,  Jean-Francois Roy ,  Paul Lalonde ,  Paul Leventis

IPC: A63F13/358 ,  A63F13/86 ,  A63F13/53 ,  A63F13/35

Abstract: This application is directed to a method of managing processing capability of a server system having one or more processing cores that further include multiple processing slices. Upon receiving requests to initiate online gaming sessions, the server system allocates each processing slice of the processing cores to a subset of the online gaming sessions to be executed thereon. A first processing slice is allocated to a first subset of the online gaming sessions including a first gaming session and a second gaming session. At the first processing slice, a time-sharing processing schedule is determined for the first subset of the online gaming sessions. In accordance with the time-sharing processing schedule, the first and second gaming sessions share a duty cycle of the first processing slice, and are executed dynamically and in parallel according to real-time data processing need of the first and second gaming sessions.

公开(公告)号：US20210021859A1

公开(公告)日：2021-01-21

申请号：US17060483

申请日：2020-10-01

Applicant: GOOGLE LLC

Inventor： Aki Kuusela ,  Dake He

IPC: H04N19/513 ,  H04N19/70 ,  H04N19/14 ,  H04N19/423 ,  H04N19/433 ,  H04N19/593 ,  H04N19/176 ,  H04N19/107

Abstract: Motion estimation or compensation functionality of a hardware component is used to encode or decode key frames and other video frames. The hardware component includes a memory, which may, for example, be a local static random access memory or an external dynamic random access memory. Upon a block of a frame being encoded or decoded, data associated with that block is stored in the memory. That data can then be processed by motion estimation or motion compensation for use in encoding or decoding one or more later blocks within the same frame. The data may, for example, be stored in the memory after operations for reconstruction and loop filtering have been performed. The data stored in the memory may effectively be processed using traditional inter-prediction operations, such as to identify similar video objects within blocks of the same frame.

公开(公告)号：US20200275101A1

公开(公告)日：2020-08-27

申请号：US16868729

申请日：2020-05-07

Applicant: GOOGLE LLC

Inventor： Claudionor Coelho ,  Dake He ,  Aki Kuusela ,  Shan Li

IPC: H04N19/124 ,  H04N19/164 ,  H04N19/176 ,  H04N19/96

Abstract: Encoding an image block using a quantization parameter includes presenting, to an encoder that includes a machine-learning model, the image block and a value derived from the quantization parameter, where the value is a result of a non-linear function using the quantization parameter as input, where the non-linear function relates to a second function used to calculate, using the quantization parameter, a Lagrange multiplier that is used in a rate-distortion calculation, and where the machine-learning model is trained to output mode decision parameters for encoding the image block; obtaining the mode decision parameters from the encoder; and encoding, in a compressed bitstream, the image block using the mode decision parameters.

公开(公告)号：US10674152B2

公开(公告)日：2020-06-02

申请号：US16134134

申请日：2018-09-18

Applicant: GOOGLE LLC

Inventor： Claudionor Coelho ,  Dake He ,  Aki Kuusela ,  Shan Li

IPC: H04N19/124 ,  H04N19/164 ,  H04N19/96 ,  H04N19/176

Abstract: A method for encoding an image block includes presenting, to a machine-learning model, the image block and a first value corresponding to a first quantization parameter; obtaining first mode decision parameters from the machine-learning model; and encoding the image block using the first mode decision parameters. The first value results from a non-linear function using the first quantization parameter as input. The machine-learning model is trained to output mode decision parameters by using training data. Each training datum includes a training block that is encoded by a second encoder, second mode decision parameters used by the second encoder for encoding the training block, and a second value corresponding to a second quantization parameter. The second encoder used the second quantization parameter for encoding the training block and the second value results from the non-linear function using the second quantization parameter as input.

公开(公告)号：US20200029098A1

公开(公告)日：2020-01-23

申请号：US16042261

申请日：2018-07-23

Applicant: GOOGLE LLC

Inventor： Jingning Han ,  Aki Kuusela ,  Stanislav Vitvitskyy ,  Yaowu Xu ,  Ching-Han Chiang ,  Dake He

IPC: H04N19/91 ,  H04N19/70 ,  H04N19/61 ,  H04N19/44

Abstract: Asymmetric probability model updating and entropy coding includes using different numbers of bits for storing probabilities of a probability model and for entropy coding symbols using that probability model. The probabilities of a probability model are updated according to values of syntax elements decoded from a bitstream. The probabilities are associated with possible values of the syntax elements and are stored using a first bit precision. Based on the updated probabilities, a second bit precision to use to entropy decode the syntax elements is determined. The second bit precision is less than the first bit precision. The syntax elements are then entropy decoded using the second bit precision, such as to produce quantized transform coefficients, which may be further processed and output to an output video stream. Using the first bit precision to entropy decode the syntax elements results in a lower compression throughput than using the second bit precision.