PIXEL COLLECTION CIRCUIT, DYNAMIC VISION SENSOR, AND IMAGE CAPTURE DEVICE

    公开(公告)号:US20220150433A1

    公开(公告)日:2022-05-12

    申请号:US17582358

    申请日:2022-01-24

    Abstract: This application provides a pixel collection circuit comprising an optical-to-electrical converter circuit configured to convert a collected optical signal into an analog signal; an analog-to-digital converter circuit configured to: receive the analog signal from the optical-to- electrical converter circuit; and perform analog-to-digital conversion on the analog signal to obtain a digital signal; a differential circuit configured to: receive the digital signal from the analog-to-digital converter circuit; and obtain a difference signal between a digital signal of a previous triggering moment and the digital signal of a current triggering moment; the previous triggering moment and the current triggering moment are determined by at least a digital clock signal; a comparison circuit configured to receive the difference signal from the differential circuit, and output a pulse signal. A digital component is used to implement the pixel collection circuit in the dynamic vision sensor, so as to reduce noise, reduce interference, and facilitate debugging.

    ENCODING OR DECODING METHOD AND APPARATUS

    公开(公告)号:US20140328399A1

    公开(公告)日:2014-11-06

    申请号:US14317083

    申请日:2014-06-27

    Abstract: Embodiments of the present invention provide an encoding or decoding method and apparatus. The method includes: extracting first information in a bitstream; determining a chroma component intra prediction mode according to the first information; when the chroma component intra prediction mode cannot be determined according to the first information, extracting second information in the bitstream; and determining the chroma component intra prediction mode according to the second information, where the first information includes information for indicating whether the chroma component intra prediction mode is a DM mode or an LM mode, the second information is used to indicate a remaining mode as the chroma component intra prediction mode, and the remaining mode is one of available chroma component intra prediction modes other than a mode that may be determined according to the first information.

    VIDEO ENCODING METHOD, VIDEO DECODING METHOD, AND APPARATUS

    公开(公告)号:US20240223818A1

    公开(公告)日:2024-07-04

    申请号:US18604710

    申请日:2024-03-14

    CPC classification number: H04N19/98 G06T5/40 H04N19/119

    Abstract: Embodiments of this application provide a video encoding method, a video decoding method, and an apparatus. The video encoding apparatus may obtain source data, where the source data includes first high dynamic range HDR data and a first standard dynamic range SDR bitstream for same video data; map reconstructed data of the first SDR bitstream to second HDR data based on a correspondence between the reconstructed data of the first SDR bitstream and the first HDR data; determine a target residual value between the second HDR data and the first HDR data, where a bit width of the target residual value is less than or equal to a data bit width for encoding a first SDR video into the first SDR bitstream; encode the correspondence and the target residual value, to determine preset data; and transmit the first SDR bitstream to which the preset data is added.

    HIGH DYNAMIC RANGE IMAGE PROCESSING METHOD AND APPARATUS

    公开(公告)号:US20220245774A1

    公开(公告)日:2022-08-04

    申请号:US17720534

    申请日:2022-04-14

    Abstract: A high dynamic range image processing method and apparatus, to improve a display effect of a high dynamic range image. The method includes: obtaining image information of a to-be-processed high dynamic range (HDR) image, the image information includes a maximum RGB component value of a first pixel corresponding to a first percentage and a maximum RGB component value of a second pixel corresponding to a second percentage; determining a maximum reference value of the HDR image; determining a maximum luminance modification value of the HDR image based on the maximum reference value and a plurality of preset hierarchy intervals, where the maximum luminance modification value is used to modify a largest value in maximum RGB component values of the plurality of pixels included in the HDR image; and adjusting a dynamic range of the HDR image based on the maximum luminance modification value.

    IMAGE PROCESSING APPARATUS AND METHOD FOR FEATURE EXTRACTION

    公开(公告)号:US20210174092A1

    公开(公告)日:2021-06-10

    申请号:US17174536

    申请日:2021-02-12

    Abstract: The invention relates to an image processing apparatus for extracting a feature from an image of a scene. The apparatus may comprises processing circuitry configured, in response to a feature extraction event, to extract a feature from first image data representing a first image of a scene, wherein the feature extraction event is based on second image data representing a second image of the scene. The image processing apparatus may include an event driven sensor and the second image may include may include a positive/negative amount of the intensity change and the location of the intensity change. Moreover, the invention relates to a corresponding image processing method.

    VIDEO PROCESSING METHOD AND APPARATUS

    公开(公告)号:US20210084096A1

    公开(公告)日:2021-03-18

    申请号:US17247008

    申请日:2020-11-24

    Abstract: This application provides a video processing method and apparatus. The method includes: adding, by a server, perception attribute information of an object and spatial location information of the object to a video bitstream or a video file, and encapsulating the video bitstream or the video file, where the perception attribute information is used to indicate a property presented when the object is perceived by a user; and obtaining, by a terminal device, the video bitstream or the video file that carries the perception attribute information of the object and the spatial location information of the object, and performing perception rendering on a perception attribute of the object based on behavior of the user, the perception attribute information of the object and the spatial location information of the object.

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