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    FEATURE-BASED IMAGE SET COMPRESSION
    6.
    发明申请
    FEATURE-BASED IMAGE SET COMPRESSION 审中-公开
    基于特征的图像集压缩

    公开(公告)号：US20160255357A1

    公开(公告)日：2016-09-01

    申请号：US14905599

    申请日：2013-07-15

    Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

    Inventor： Xiaoyan Sun ,  Feng Wu ,  Zhongbo Shi

    IPC: H04N19/426 ,  H04N19/51 ,  H04N19/65 ,  G06K9/52 ,  H04N19/136 ,  G06K9/62

    CPC classification number: H04N19/426 ,  G06K9/52 ,  G06K9/6218 ,  H04N5/765 ,  H04N5/91 ,  H04N9/8045 ,  H04N19/136 ,  H04N19/503 ,  H04N19/51 ,  H04N19/65 ,  H04N19/94

    Abstract: Some examples may generate one or more sets of compressed images from an image collection. Images from the image collection may be clustered into one or more sets of images based on one or more features in each image. A minimum spanning tree of images may be created from each of the one or more sets of images based on the one or more features in each image. Feature-based prediction may be performed using the feature-based minimum spanning tree. One or more sets of compressed images corresponding to the one or more sets of images may be generated.

    Abstract translation: 一些示例可以从图像集合生成一组或多组压缩图像。 来自图像集合的图像可以基于每个图像中的一个或多个特征聚类成一组或多组图像。 可以基于每个图像中的一个或多个特征从图像的一组或多组中的每一个创建图像的最小生成树。 可以使用基于特征的最小生成树来执行基于特征的预测。 可以生成对应于一组或多组图像的一组或多组压缩图像。

    VIDEO ENCODING DEVICE, VIDEO DECODING DEVICE, VIDEO SYSTEM, VIDEO ENCODING METHOD, VIDEO DECODING METHOD, AND COMPUTER READABLE STORAGE MEDIUM
    7.
    发明申请
    VIDEO ENCODING DEVICE, VIDEO DECODING DEVICE, VIDEO SYSTEM, VIDEO ENCODING METHOD, VIDEO DECODING METHOD, AND COMPUTER READABLE STORAGE MEDIUM 有权
    视频编码设备，视频解码设备，视频系统，视频编码方法，视频解码方法和计算机可读存储介质

    公开(公告)号：US20160119631A1

    公开(公告)日：2016-04-28

    申请号：US14990602

    申请日：2016-01-07

    Applicant: KDDI CORPORATION

    Inventor： Kei Kawamura ,  Sei Naito

    IPC: H04N19/186 ,  H04N19/159 ,  H04N19/593 ,  H04N19/182 ,  H04N19/176

    CPC classification number: H04N19/593 ,  H04N9/8045 ,  H04N19/119 ,  H04N19/132 ,  H04N19/159 ,  H04N19/176 ,  H04N19/182 ,  H04N19/186 ,  H04N19/196 ,  H04N19/59

    Abstract: In the case where an input image is an image of a non-YUV420 format and an encoding unit is the smallest CU block, an adaptive-sub-sampling luma reference pixel acquisition unit sub-samples reference pixels existing neighboring a luma block corresponding to a chroma prediction target block based on a luma intra prediction mode, and acquires a pixel value of each of the sub-sampled reference pixels. In the case where the input image is an image of a non-YUV420 format and the encoding unit is the smallest CU block, an adaptive-sub-sampling chroma reference pixel acquisition unit sub-samples reference pixels existing neighboring the chroma prediction target block based on the luma intra prediction mode, and acquires a pixel value of each of the sub-sampled reference pixels.

    Abstract translation: 在输入图像是非YUV420格式的图像并且编码单位是最小的CU块的情况下，自适应子采样亮度参考像素获取单元对存在于与对应于 基于亮度帧内预测模式的色度预测目标块，并且获取每个子采样参考像素的像素值。 在输入图像是非YUV420格式的图像并且编码单元是最小的CU块的情况下，自适应子采样色度参考像素获取单元对存在于色度预测对象块附近的参考像素进行子采样 并且获取每个子采样参考像素的像素值。

    Scene detection based on video encoding parameters
    9.
    发明授权
    Scene detection based on video encoding parameters 有权
    基于视频编码参数的场景检测

    公开(公告)号：US09071814B1

    公开(公告)日：2015-06-30

    申请号：US13968062

    申请日：2013-08-15

    Applicant: Google Inc.

    Inventor： Zihong Fan ,  Gavan Kwan ,  Bosun Adeoti

    IPC: H04N5/783 ,  H04N5/93 ,  H04N9/808 ,  H04N19/177 ,  G11B27/00

    CPC classification number: H04N5/91 ,  H04N9/8045 ,  H04N19/177

    Abstract: Systems and methods for automatically detecting scenes in a video based on parameters employed to encode the video are presented. In one or more aspects, a system is provided that includes a scene identification component configured to analyze a video comprising a plurality of sequential frames, including a plurality of intra-frames (I-frames) and a plurality of predictive frames (P-frames), and identify N groups of adjacent frames constituting N scenes of the video based in part on respective locations of the I-frames throughout the plurality of sequential frames, where N is an integer. The system further includes a video clip generation component configured to generate one or more video clips from one or more of the N scenes of the video, respectively, using portions of frames respectively associated with the one or more scenes of the N scenes of the video.

    Abstract translation: 提出了基于用于编码视频的参数来自动检测视频场景的系统和方法。 在一个或多个方面，提供了一种系统，其包括场景识别组件，其被配置为分析包括多个连续帧的视频，包括多个帧内（I帧）和多个预测帧（P帧） ），并且部分地基于多个连续帧中的I帧的各个位置来识别构成视频的N个场景的N组相邻帧，其中N是整数。 该系统还包括视频剪辑生成组件，其被配置为分别使用分别与视频的N个场景中的一个或多个场景相关联的帧的部分来生成来自视频的N个场景中的一个或多个的一个或多个视频剪辑 。

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