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    • 4. 发明申请
    • IDENTIFICATION AND ANALYSIS OF CADENCE PATTERN IN VIDEO
    • 视频中的CAD图形的识别和分析
    • US20130259392A1
    • 2013-10-03
    • US13549507
    • 2012-07-15
    • Praney MahajanShekhar Madnani
    • Praney MahajanShekhar Madnani
    • G06K9/36
    • H04N7/0115
    • A system and method for the identification and analysis of cadence pattern is disclosed. The method uses previous and current fields to generate the difference between the field values. The difference of these values along with the field relations is passed to the state machine to generate the state of the top and bottom fields. Based on the top and bottom state the cadence signature is generated and by using the Fourier analysis the principle frequency of repeated cadence pattern signature sequence is identified. Each of the cadence signatures present in the cadence pattern signature sequence is decoded to calculate the pull-down value of the cadence pattern. The pull down value then gives the actual cadence pattern.
    • 公开了一种用于识别和分析节奏模式的系统和方法。 该方法使用先前和当前字段来生成字段值之间的差异。 这些值与字段关系的差异被传递到状态机以产生顶部和底部字段的状态。 基于顶部和底部状态,生成节奏签名,并通过傅里叶分析,确定重复节奏模式签名序列的主要频率。 存在于节奏模式签名序列中的每个节奏签名被解码以计算节奏模式的下拉值。 然后,下拉值给出实际的节奏模式。
    • 5. 发明授权
    • Method and system for calculating interlace artifact in motion pictures
    • 用于计算运动图像中的交错伪影的方法和系统
    • US08049817B2
    • 2011-11-01
    • US12286798
    • 2008-10-02
    • Shekhar MadnaniShailesh Kumar
    • Shekhar MadnaniShailesh Kumar
    • H04N7/01
    • H04N17/00H04N5/142H04N5/145
    • A method and system for calculating an interlace artifact in image data are disclosed. A motion picture of the image data comprises a series of frames, captured at a predefined interval of time. During processing of the motion picture, the frames are divided into fields, each field comprising one or more pixels. A difference between the pixels of the fields is calculated. Thereafter, edges of the pixels are calculated in the fields. The method and system then identify the focused area in the fields. To calculate the interlace artifact in the motion picture, the displacement of the focused area is calculated by using motion vectors. The artifacts are calculated as a ratio of a number of pixels based on motion vector calculation.
    • 公开了一种用于计算图像数据中的隔行伪影的方法和系统。 图像数据的运动图像包括以预定的时间间隔捕获的一系列帧。 在运动图像的处理期间,帧被分成场,每个场包括一个或多个像素。 计算场的像素之间的差异。 此后,在场中计算像素的边缘。 然后,该方法和系统确定了该领域的重点领域。 为了计算运动图像中的交错伪影,通过使用运动矢量来计算聚焦区域的位移。 伪像被计算为基于运动矢量计算的像素数的比率。
    • 6. 发明申请
    • Method and system for calculating interlace artifact in motion pictures
    • 用于计算运动图像中的交错伪影的方法和系统
    • US20100085475A1
    • 2010-04-08
    • US12286798
    • 2008-10-02
    • Shekhar MadnaniShailesh Kumar
    • Shekhar MadnaniShailesh Kumar
    • H04N7/01
    • H04N17/00H04N5/142H04N5/145
    • A method and system for calculating an interlace artifact in image data are disclosed. A motion picture of the image data comprises a series of frames, captured at a predefined interval of time. During processing of the motion picture, the frames are divided into fields, each field comprising one or more pixels. A difference between the pixels of the fields is calculated. Thereafter, edges of the pixels are calculated in the fields. The method and system then identify the focused area in the fields. To calculate the interlace artifact in the motion picture, the displacement of the focused area is calculated by using motion vectors. The artifacts are calculated as a ratio of a number of pixels based on motion vector calculation.
    • 公开了一种用于计算图像数据中的隔行伪影的方法和系统。 图像数据的运动图像包括以预定的时间间隔捕获的一系列帧。 在运动图像的处理期间,帧被分成场,每个场包括一个或多个像素。 计算场的像素之间的差异。 此后,在场中计算像素的边缘。 然后,该方法和系统确定了该领域的重点领域。 为了计算运动图像中的交错伪影,通过使用运动矢量来计算聚焦区域的位移。 伪像被计算为基于运动矢量计算的像素数的比率。
    • 7. 发明授权
    • Identification and analysis of cadence pattern in video
    • 识别和分析视频中的节奏模式
    • US08768074B2
    • 2014-07-01
    • US13549507
    • 2012-07-15
    • Praney MahajanShekhar Madnani
    • Praney MahajanShekhar Madnani
    • G06K9/46
    • H04N7/0115
    • A system and method for the identification and analysis of cadence pattern is disclosed. The method uses previous and current fields to generate the difference between the field values. The difference of these values along with the field relations is passed to the state machine to generate the state of the top and bottom fields. Based on the top and bottom state the cadence signature is generated and by using the Fourier analysis the principle frequency of repeated cadence pattern signature sequence is identified. Each of the cadence signatures present in the cadence pattern signature sequence is decoded to calculate the pull-down value of the cadence pattern. The pull down value then gives the actual cadence pattern.
    • 公开了一种用于识别和分析节奏模式的系统和方法。 该方法使用先前和当前字段来生成字段值之间的差异。 这些值与字段关系的差异被传递到状态机以产生顶部和底部字段的状态。 基于顶部和底部状态,生成节奏签名,并通过傅里叶分析,确定重复节奏模式签名序列的主要频率。 存在于节奏模式签名序列中的每个节奏签名被解码以计算节奏模式的下拉值。 然后,下拉值给出实际的节奏模式。