METHODS AND APPARATUS FOR SIGNALING INTRA PREDICTION FOR LARGE BLOCKS FOR VIDEO ENCODERS AND DECODERS
    3.
    发明公开
    METHODS AND APPARATUS FOR SIGNALING INTRA PREDICTION FOR LARGE BLOCKS FOR VIDEO ENCODERS AND DECODERS 有权
    方法和设备的信令帧内预测的视频编码器和解码器大块

    公开(公告)号:EP2449782A1

    公开(公告)日:2012-05-09

    申请号:EP10743254.4

    申请日:2010-06-29

    申请人: Thomson Licensing

    IPC分类号: H04N7/26

    摘要: Methods and apparatus are provided for signaling intra prediction for large blocks for video encoders and decoders. An apparatus includes a video encoder (400) for encoding picture data for at least one large block in a picture by signaling intra prediction for the at least one large block. The intra prediction is signaled by selecting a basic coding unit size and assigning a single spatial intra partition type for the basic coding unit size. The single spatial intra partition type is selectable from among a plurality of spatial intra partition types. The at least one large block has a large block size greater than a block size of the basic coding unit. The intra prediction is hierarchical layer intra prediction and is performed for the at least one large block by at least one of splitting from the large block size to the basic coding unit size and merging from the basic coding unit size to the large block size.

    摘要翻译: 提供了用于信令帧内预测用于视频编码器和解码器的大块的方法和装置。 一种装置包括用于通过信令帧内预测的至少一个大块,用于至少一个大块在编码画面的画面数据的视频编码器。 帧内预测是通过选择一个基本编码单元的大小和分配用于基本编码单元尺寸的单个空间帧内分区类型信号通知。 单个空间帧内分区类型是从空间帧内分区类型的多元之间选择。 所述至少一个大的块具有大的块大小比基本编码单元的块的大小更大。 帧内预测是分级层帧内预测和执行用于所述至少一个大的块通过分裂中的至少一个从大的块大小的基本编码单元的大小和从基本编码单元大小设置为大的块尺寸合并。

    METHOD AND APPARATUS FOR DETECTING DARK NOISE ARTIFACTS
    5.
    发明公开
    METHOD AND APPARATUS FOR DETECTING DARK NOISE ARTIFACTS 有权
    方法和装置暗噪声伪影检测

    公开(公告)号:EP2321796A1

    公开(公告)日:2011-05-18

    申请号:EP08795175.2

    申请日:2008-08-08

    申请人: Thomson Licensing

    IPC分类号: G06T7/00 G06T5/00 H04N7/26

    摘要: The present invention involves detecting dark noise artifacts in coded images and video. Locations of artifacts in compressed pictures are found. A strength of the artifact per block is determined as is an overall dark noise artifact strength for each picture. Artifact detection and strength assignment is performed by analyzing candidate areas that could be prone to this type of artifact. Multiple features such as block variance, color information, luminance levels and location of the artifact could be used in this process. Also, median filtering may be used on the identified areas to eliminate isolated areas. A final artifact parameter for each picture can be assessed based on the total number of blocks that are classified as dark noise and also the strength of each macroblock.