Deblocking filter for high dynamic range (HDR) video

    公开(公告)号:US10212456B2

    公开(公告)日:2019-02-19

    申请号:US15612806

    申请日:2017-06-02

    Applicant: Apple Inc.

    Abstract: Methods of in-loop deblocking filter for high dynamic range (HDR) video compression are disclosed. HDR processing and standard dynamic range (SDR) processing adopt different electro-optical transfer function (EOTF) to convert digital code words to linear luminance. For compressing HDR video, EOTF is proposed to be involved in the selection of two deblocking parameters, β and tC, which control the strength of deblocking filter. In local activity checking for filter decisions, the calculated local signal characteristics and the thresholds are adjusted according to EOTF. After deblocking filter, the clipping range is modified based on EOTF. The chroma deblocking filter is also extended to inter-inter block boundary.

    Video Coding Techniques for Multi-View Video
    85.
    发明申请

    公开(公告)号:US20180249164A1

    公开(公告)日:2018-08-30

    申请号:US15443342

    申请日:2017-02-27

    Applicant: Apple Inc.

    Abstract: Techniques are disclosed for coding and decoding video captured as cube map images. According to these techniques, padded reference images are generated for use during predicting input data. A reference image is stored in a cube map format. A padded reference image is generated from the reference image in which image data of a first view contained in reference image is replicated and placed adjacent to a second view contained in the cube map image. When coding a pixel block of an input image, a prediction search may be performed between the input pixel block and content of the padded reference image. When the prediction search identifies a match, the pixel block may be coded with respect to matching data from the padded reference image. Presence of replicated data in the padded reference image is expected to increase the likelihood that adequate prediction matches will be identified for input pixel block data, which will increase overall efficiency of the video coding.

    Hierarchical segmentation and quality measurement for video editing

    公开(公告)号:US10062412B2

    公开(公告)日:2018-08-28

    申请号:US15173465

    申请日:2016-06-03

    Applicant: Apple Inc.

    Abstract: Methods for organizing media data by automatically segmenting media data into hierarchical layers of scenes are described. The media data may include metadata and content having still image, video or audio data. The metadata may be content-based (e.g., differences between neighboring frames, exposure data, key frame identification data, motion data, or face detection data) or non-content-based (e.g., exposure, focus, location, time) and used to prioritize and/or classify portions of video. The metadata may be generated at the time of image capture or during post-processing. Prioritization information, such as a score for various portions of the image data may be based on the metadata and/or image data. Classification information such as the type or quality of a scene may be determined based on the metadata and/or image data. The classification and prioritization information may be metadata and may be used to organize the media data.

    Content Adaptation for Streaming
    87.
    发明申请

    公开(公告)号:US20170359580A1

    公开(公告)日:2017-12-14

    申请号:US15614881

    申请日:2017-06-06

    Applicant: Apple Inc.

    Abstract: Techniques are disclosed by which a coding parameter is determined to encode video data resulting in encoded video data possessing a highest possible video quality. Features may be extracted from an input video sequence. The extracted features may be compared to features described in a model of coding parameters generated by a machine learning algorithm from reviews of previously-coded videos, extracted features of the previously-coded videos, and coding parameters of the previously-coded videos. When a match is detected between the extracted features of the input video sequence and extracted features represented in the model, a determination may be made as to whether coding parameters that correspond to the matching extracted feature correspond to a tier of service to which the input video sequence is to be coded. When the coding parameters that correspond to the matching extracted feature correspond to the tier of service to which the input video sequence is to be coded, the input video sequence may be coded according to the coding parameters.

    Environment-Aware Supervised HDR Tone Mapping

    公开(公告)号:US20170353704A1

    公开(公告)日:2017-12-07

    申请号:US15611636

    申请日:2017-06-01

    Applicant: Apple Inc.

    Abstract: Embodiments of the present disclosure provide techniques for environment aware supervised HDR tone mapping. According to those techniques, responsive to metadata provided with HDR source video data, the received metadata may be compared to sensor date representing viewing conditions at a display device. Tone mapping corrections to the HDR source video data may be derived from the comparison of the received metadata to the sensor data. The HDR source video data may be altered based on the tone mapping corrections. The altered HDR source video data may be used to drive the display device.

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