HIERARCHICAL SEGMENTATION AND QUALITY MEASUREMENT FOR VIDEO EDITING
    1.
    发明申请
    HIERARCHICAL SEGMENTATION AND QUALITY MEASUREMENT FOR VIDEO EDITING 审中-公开
    视频编辑的分层分类和质量测量

    公开(公告)号:US20160358628A1

    公开(公告)日:2016-12-08

    申请号:US15173465

    申请日:2016-06-03

    Applicant: Apple Inc.

    CPC classification number: G11B27/031 G06K9/00718 G06K9/00751 G06K9/00765

    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.

    Abstract translation: 描述了通过将媒体数据自动分割成层级的场景来组织媒体数据的方法。 媒体数据可以包括具有静止图像,视频或音频数据的元数据和内容。 元数据可以是基于内容的(例如,相邻帧之间的差异,曝光数据,关键帧识别数据,运动数据或面部检测数据)或非基于内容的(例如,曝光,焦点,位置,时间)并且被使用 对视频的部分进行优先排序和/或分类。 元数据可以在图像捕获时或在后处理期间生成。 诸如图像数据的各个部分的得分的优先级信息可以基于元数据和/或图像数据。 可以基于元数据和/或图像数据来确定诸如场景的类型或质量的分类信息。 分类和优先化信息可以是元数据,并且可以用于组织媒体数据。

    COHERENCE GROUPS: REGION DESCRIPTORS FOR LOW BIT RATE ENCODING
    6.
    发明申请
    COHERENCE GROUPS: REGION DESCRIPTORS FOR LOW BIT RATE ENCODING 有权
    协调组:用于低比特率编码的区域描述符

    公开(公告)号:US20140362919A1

    公开(公告)日:2014-12-11

    申请号:US13913169

    申请日:2013-06-07

    Applicant: Apple Inc.

    Abstract: The invention is directed to an efficient way for encoding and decoding video. Embodiments include identifying different coding units that share a similar characteristic. The characteristic can be, for example: quantization values, modes, block sizes, color space, motion vectors, depth, facial and non-facial regions, and filter values. An encoder may then group the units together as a coherence group. An encoder may similarly create a table or other data structure of the coding units. An encoder may then extract the commonly repeating characteristic or attribute from the coding units. The encoder may transmit the coherence groups along with the data structure, and other coding units which were not part of a coherence group. The decoder may receive the data, and utilize the shared characteristic by storing locally in cache, for faster repeated decoding, and decode the coherence group together.

    Abstract translation: 本发明涉及用于对视频进行编码和解码的有效方式。 实施例包括识别共享相似特征的不同编码单元。 特征可以是例如:量化值,模式,块大小,颜色空间,运动矢量,深度,面部和非面部区域以及滤波器值。 然后,编码器可以将这些单元组合在一起作为一致性组。 编码器可以类似地创建编码单元的表或其他数据结构。 然后,编码器可以从编码单元中提取常见的重复特性或属性。 编码器可以连同数据结构以及不是相干组的一部分的其他编码单元一起发送相干组。 解码器可以接收数据,并通过将本地存储在高速缓存中来利用共享特性,以便更快的重复解码,并将相干组一起解码。

    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.

    VIDEO ANALYSIS TECHNIQUES FOR IMPROVED EDITING, NAVIGATION, AND SUMMARIZATION
    8.
    发明申请
    VIDEO ANALYSIS TECHNIQUES FOR IMPROVED EDITING, NAVIGATION, AND SUMMARIZATION 审中-公开
    改进编辑,导航和总结的视频分析技术

    公开(公告)号:US20160092561A1

    公开(公告)日:2016-03-31

    申请号:US14559705

    申请日:2014-12-03

    Applicant: Apple Inc.

    Abstract: Systems and processes for improved video editing, summarization and navigation based on generation and analysis of metadata are described. 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 automatically remove undesirable portions of the video, generate suggestions during editing or automatically generate summary video.

    Abstract translation: 描述了基于元数据生成和分析改进视频编辑,汇总和导航的系统和过程。 元数据可以是基于内容的(例如,相邻帧之间的差异,曝光数据,关键帧识别数据,运动数据或面部检测数据)或非基于内容的(例如,曝光,焦点,位置,时间)并且被使用 对视频的部分进行优先排序和/或分类。 元数据可以在图像捕获时或在后处理期间生成。 诸如图像数据的各个部分的得分的优先级信息可以基于元数据和/或图像数据。 可以基于元数据和/或图像数据来确定诸如场景的类型或质量的分类信息。 分类和优先化信息可以是元数据,并且可以用于自动去除视频的不期望的部分,在编辑期间生成建议或自动生成汇总视频。

    Coherence groups: region descriptors for low bit rate encoding
    9.
    发明授权
    Coherence groups: region descriptors for low bit rate encoding 有权
    相干组:用于低比特率编码的区域描述符

    公开(公告)号:US08923640B1

    公开(公告)日:2014-12-30

    申请号:US13913169

    申请日:2013-06-07

    Applicant: Apple Inc.

    Abstract: The invention is directed to an efficient way for encoding and decoding video. Embodiments include identifying different coding units that share a similar characteristic. The characteristic can be, for example: quantization values, modes, block sizes, color space, motion vectors, depth, facial and non-facial regions, and filter values. An encoder may then group the units together as a coherence group. An encoder may similarly create a table or other data structure of the coding units. An encoder may then extract the commonly repeating characteristic or attribute from the coding units. The encoder may transmit the coherence groups along with the data structure, and other coding units which were not part of a coherence group. The decoder may receive the data, and utilize the shared characteristic by storing locally in cache, for faster repeated decoding, and decode the coherence group together.

    Abstract translation: 本发明涉及用于对视频进行编码和解码的有效方式。 实施例包括识别共享相似特征的不同编码单元。 特征可以是例如:量化值,模式,块大小,颜色空间,运动矢量,深度,面部和非面部区域以及滤波器值。 然后,编码器可以将这些单元组合在一起作为一致性组。 编码器可以类似地创建编码单元的表或其他数据结构。 然后,编码器可以从编码单元中提取常见的重复特性或属性。 编码器可以连同数据结构以及不是相干组的一部分的其他编码单元一起发送相干组。 解码器可以接收数据,并通过将本地存储在高速缓存中来利用共享特性,以便更快的重复解码,并将相干组一起解码。

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