VIDEO DECODER CHIPSET
    91.
    发明申请

    公开(公告)号:US20210120258A1

    公开(公告)日:2021-04-22

    申请号:US17050723

    申请日:2019-04-18

    Inventor: Richard CLUCAS

    Abstract: A video decoder chipset (200, 300, 400, 500) comprises a video decoder function (210), an upscaler function (230) and a combiner function (240). The video decoder function (210) is configured to (i) decode encoded video data to generate decoded video data at a first level of quality, the encoded video data having been derived by an encoder using first video data at a second, higher level of quality and (ii) output the decoded video data for storage in a memory (220). The upscaler function (230) is configured to (i) obtain the decoded video data from the memory (220) and (ii) upscale the obtained decoded video data to generate second video data at the second level of quality. The combiner function (240) is configured to (i) obtain residual data, the residual data having been derived by the encoder based on the first video data and the second video data, (ii) combine the second video data with the residual data to generate enhanced video data, and (iii) output the enhanced video data.

    Method and apparatus for image compression

    公开(公告)号:US10951897B2

    公开(公告)日:2021-03-16

    申请号:US16303323

    申请日:2017-05-23

    Abstract: The invention relates to a method and apparatus for image compression, particularly to an improved block-coding apparatus and method for image compression. Image compression systems such as JPEG and JPEG2000 are known and popular standards for image compression. Many of the advantageous features of JPEG2000 derive from the use of the EBCOT algorithm (Embedded Block-Coding with Optimized Truncation). One drawback of the JPEG2000 standards is computational complexity. This application discloses a relatively fast block-coding algorithm, particularly as compared with the standard JPEG2000 EBCOT algorithm. Computational complexity is reduced.

    GAMING SYSTEM
    93.
    发明申请

    公开(公告)号:US20210069588A1

    公开(公告)日:2021-03-11

    申请号:US17022079

    申请日:2020-09-15

    Abstract: Methods and systems for executing games are provided. One example method includes executing at a server of the gaming system a first game logic and a second game logic. The first game logic is for a first game stream to a first user and the second game logic is for a second game stream to a second user. The method includes providing a first virtual driver for the first game logic and a second virtual driver for the second game logic. The method includes executing a hardware graphical processing unit (GPU). The hardware GPU having a non-virtual driver that communicates with each of the first and second virtual drivers. The non-virtual driver is configured for receiving data associated with the first game and the second game using the first virtual driver and the second virtual driver, respectively. The hardware GPU is configured for rendering video frames for the first game and the second game. The method includes encoding the video frames for the first game and the second game using an encoder. The encoded video frames including the first and second game streams to devices of the first and second users connected to the gaming system over a network.

    METHODS AND APPARATUSES FOR PERFORMING ENCODING AND DECODING ON IMAGE

    公开(公告)号:US20210044813A1

    公开(公告)日:2021-02-11

    申请号:US17080827

    申请日:2020-10-26

    Abstract: Provided is a computer-recordable recording medium having stored thereon a video file including artificial intelligence (AI) encoding data, wherein the AI encoding data includes: image data including encoding information of a low resolution image generated by AI down-scaling a high resolution image; and AI data about AI up-scaling of the low resolution image reconstructed according to the image data, wherein the AI data includes: AI target data indicating whether AI up-scaling is to be applied to at least one frame; and AI supplementary data about up-scaling deep neural network (DNN) information used for AI up-scaling of the at least one frame from among a plurality of pieces of pre-set default DNN configuration information, when AI up-scaling is applied to the at least one frame.

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