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    • 4. 发明授权
    • Video encoding control using non-exclusive content categories
    • 使用非独占内容类别的视频编码控制
    • US08149909B1
    • 2012-04-03
    • US11249213
    • 2005-10-13
    • Ilie GarbaceaLulin ChenJose R. Alvarez
    • Ilie GarbaceaLulin ChenJose R. Alvarez
    • H04N7/12H04N11/04
    • H04N19/00096H04N19/126H04N19/14H04N19/176
    • In some embodiments, macroblock-level encoding parameters are assigned to weighted Linear combinations of corresponding content-category-level encoding parameters. A macroblock quantization parameter (QP) modulation is set to a weighted linear combination of content category QP modulations. Content categories may identify potentially overlapping content types. The combination weights may be similarity measures describing macroblock similarities to content categories. A macroblock may be associated with multiple content categories, with different similarity levels for different content categories. A similarity measure for a given macroblock with respect to a content category may be defined as a number (between 0 and 8) of neighboring macroblocks that meet a similarity condition, provided the macroblock meets a qualification condition. The similarity condition may be computationally simpler than the qualification condition. Content-category-level statistics are generated by combining block-level statistics. Content-category-level statistics may be used in encoding subsequent frames.
    • 在一些实施例中,宏块级编码参数被分配给相应内容类别级编码参数的加权线性组合。 宏块量化参数(QP)调制被设置为内容类别QP调制的加权线性组合。 内容类别可能会识别可能重叠的内容类型。 组合权重可以是描述与内容类别的宏块相似性的相似性度量。 宏块可以与多个内容类别相关联,具有针对不同内容类别的不同相似度级别。 如果宏块符合资格条件,则相对于内容类别的给定宏块的相似性度量可以被定义为满足相似性条件的相邻宏块之间的数目(在0和8之间)。 相似性条件可能比资格条件计算简单。 通过组合块级统计信息生成内容类别级统计信息。 内容类别级统计可用于对后续帧进行编码。
    • 5. 发明授权
    • Video encoding statistics extraction using non-exclusive content categories
    • 使用非独占内容类别的视频编码统计提取
    • US08126283B1
    • 2012-02-28
    • US11250102
    • 2005-10-13
    • Ilie GarbaceaLulin ChenJose R. Alvarez
    • Ilie GarbaceaLulin ChenJose R. Alvarez
    • G06K9/46
    • G06F17/30831G06F17/3079H04N19/124H04N19/136H04N19/142H04N19/147H04N19/149H04N19/176H04N19/196H04N19/85
    • In some embodiments, content-category-level encoding statistical indicators (statistics) are assigned to weighted linear combinations of corresponding macroblock-level statistics. Content categories may identify potentially overlapping content types such as sky, water, grass, skin, and red content. The combination weights may be similarity measures describing macroblock similarities to content categories. A given macroblock may be associated with multiple content categories, with different similarity levels for different content categories. A similarity measure for a given macroblock with respect to a content category may be defined as a number (between 0 and 8) of neighboring macroblocks that meet a similarity condition, provided the macroblock meets a qualification condition. The similarity condition may be computationally simpler than the qualification condition. Macroblock-level encoding parameters are generated by combining content-category-level parameters.
    • 在一些实施例中,内容类别级编码统计指标(统计)被分配给相应宏块级统计的加权线性组合。 内容类别可能会识别潜在重叠的内容类型,如天空,水,草,皮肤和红色内容。 组合权重可以是描述与内容类别的宏块相似性的相似性度量。 给定宏块可以与多个内容类别相关联,具有针对不同内容类别的不同相似度级别。 如果宏块符合资格条件,则相对于内容类别的给定宏块的相似性度量可以被定义为满足相似性条件的相邻宏块之间的数目(在0和8之间)。 相似性条件可能比资格条件计算简单。 通过组合内容类别级参数来生成宏块级编码参数。
    • 8. 发明授权
    • Video encoding mode decisions according to content categories
    • 视频编码模式根据内容类别决定
    • US08081682B1
    • 2011-12-20
    • US11250109
    • 2005-10-13
    • Ilie CarbaceaLulin ChenJose R. Alvarez
    • Ilie CarbaceaLulin ChenJose R. Alvarez
    • H04N7/12H04N5/445
    • H04N19/85H04N19/107H04N19/109H04N19/11H04N19/124H04N19/136H04N19/176H04N19/61
    • In some embodiments, encoding modes for a video image block are enabled according to similarity measures of the block with respect to multiple content categories. Content categories may identify potentially overlapping content types such as sky, water, grass, skin, and red content. In a priority mode, the encoding modes specified by a priority content category (e.g. a red category) are selectively enabled for the block, regardless of the block's similarity to other (non-priority) content categories, provided the block is sufficiently similar to the priority category. In a dominant mode, the encoding modes enabled by a maximum-similarity content category are enabled for the block. In an all-inclusive mode, any mode enabled by any sufficiently-similar content category is enabled for the block. Enabled encoding modes may be further evaluated for selection for the block. Encoding modes may include inter/intra modes, macroblock partition sizes, and intra-prediction directions.
    • 在一些实施例中,视频图像块的编码模式根据块相对于多个内容类别的相似性度量被启用。 内容类别可能会识别潜在重叠的内容类型,如天空,水,草,皮肤和红色内容。 在优先模式中,无论块与其他(非优先级)内容类别的相似度如何,只要块与...相似,就可以选择性地启用优先级内容类别(例如,红色类别)指定的编码模式 优先类别。 在主导模式中,通过最大相似内容类别启用的编码模式对于块是启用的。 在全包模式下,对于该块,启用任何类似相似内容的任何模式。 可以对块的选择进一步评估启用的编码模式。 编码模式可以包括帧间/帧内模式,宏块分区大小和帧内预测方向。
    • 9. 发明授权
    • Video quality by controlling inter frame encoding according to frame position in GOP
    • 通过根据GOP中的帧位置控制帧间编码的视频质量
    • US08774272B1
    • 2014-07-08
    • US11182164
    • 2005-07-15
    • Lulin Chen
    • Lulin Chen
    • H04N7/12H04N7/50
    • H04N7/50H04N19/107H04N19/109H04N19/142H04N19/149H04N19/159H04N19/176
    • In some embodiments, a video encoding method includes controlling a set of block encoding modes in a plurality of inter video frames in a group of pictures (GOP) according to a frame position in the group of pictures, to generally decrease a forward inter-encoded frame content with the frame position in the group of pictures. An encoding mode determination is made for inter-frame encoding blocks (e.g. macroblocks) according to the frame position in the group of pictures. The determination may include forcing a block encoding mode to an intra, backward inter-predicted, or backward strong-weighted bi-predicted mode. The determination may be performed according to a frame type (P/B), frame position in GOP, frame content, a selected temporal and spatial pattern, a bit cost of making an encoding mode decision, and an available bit rate. The fraction of mode-forced blocks is generally increased as the GOP frame position advances.
    • 在一些实施例中,视频编码方法包括根据图像组中的帧位置来控制图像组(GOP)中的多个视频间帧中的一组块编码模式,以一般地减少前向编码 帧内容与图片组中的帧位置。 根据图像组中的帧位置对帧间编码块(例如,宏块)进行编码模式确定。 该确定可以包括将块编码模式强制为帧内,后向帧间预测或后向强加权双预测模式。 可以根据帧类型(P / B),GOP中的帧位置,帧内容,选择的时间和空间模式,进行编码模式决定的比特成本以及可用比特率来执行确定。 模式强制块的分数通常随着GOP帧位置的前进而增加。
    • 10. 发明申请
    • VIDEO ENCODING CONTROL USING NON-EXCLUSIVE CONTENT CATEGORIES
    • 使用非独家内容类别的视频编码控制
    • US20130188689A1
    • 2013-07-25
    • US13437183
    • 2012-04-02
    • Ilie GarbaceaLulin ChenJose R. Alvarez
    • Ilie GarbaceaLulin ChenJose R. Alvarez
    • H04N7/26
    • H04N19/00096H04N19/126H04N19/14H04N19/176
    • In some embodiments, macroblock-level encoding parameters are assigned to weighted linear combinations of corresponding content-category-level encoding parameters. For example, a macroblock quantization parameter (QP) modulation is set to a weighted linear combination of content category QP modulations. Content categories may identify potentially overlapping content types such as sky, water, grass, skin, and red content. The combination weights may be similarity measures describing macroblock similarities to content categories. A macroblock may be associated with multiple content categories, with different similarity levels for different content categories. A similarity measure for a given macroblock with respect to a content category may be defined as a number (between 0 and 8) of neighboring macroblocks that meet a similarity condition, provided the macroblock meets a qualification condition. The similarity condition may be computationally simpler than the qualification condition. Content-category-level statistics are generated by combining block-level statistics. Content-category-level statistics may be used in encoding subsequent frames.
    • 在一些实施例中,将宏块级编码参数分配给对应的内容类别级编码参数的加权线性组合。 例如,将宏块量化参数(QP)调制设置为内容类型QP调制的加权线性组合。 内容类别可能会识别潜在重叠的内容类型,如天空,水,草,皮肤和红色内容。 组合权重可以是描述与内容类别的宏块相似性的相似性度量。 宏块可以与多个内容类别相关联,具有针对不同内容类别的不同相似度级别。 如果宏块符合资格条件,则相对于内容类别的给定宏块的相似性度量可以被定义为满足相似性条件的相邻宏块之间的数目(在0和8之间)。 相似性条件可能比资格条件计算简单。 通过组合块级统计信息生成内容类别级统计信息。 内容类别级统计可用于对后续帧进行编码。