公开(公告)号：US08763068B2

公开(公告)日：2014-06-24

申请号：US12964597

申请日：2010-12-09

Applicant: Chuang Gu ,  Anil Murching ,  Chad Gibson ,  David Alles

Inventor： Chuang Gu ,  Anil Murching ,  Chad Gibson ,  David Alles

IPC: H04N7/16

CPC classification number: H04N21/44008 ,  G06F17/30793 ,  G06F17/3082 ,  G06F17/30825 ,  H04N5/4403 ,  H04N7/17318 ,  H04N21/2353 ,  H04N21/2665 ,  H04N21/435 ,  H04N21/472 ,  H04N21/8133 ,  H04N21/84

Abstract: Various embodiments related to the generation and provision of media metadata are disclosed. For example, one disclosed embodiment provides a computing device having a logic subsystem configured to execute instructions, and a data holding subsystem comprising instructions stored thereon that are executable by the processor to receive an input of a video and/or audio content item, and to compare the content item to one or more object descriptors each representing an object for locating within the content item to locate instances of one or more of the objects in the content item. The instructions are further executable to generate metadata for each object located in the video content item, and to receive a validating user input related to whether the metadata generated for a selected object is correct.

Abstract translation: 公开了与生成和提供媒体元数据相关的各种实施例。 例如，一个公开的实施例提供了具有被配置为执行指令的逻辑子系统的计算设备，以及包括存储在其上的指令的数据保持子系统，其可由处理器执行以接收视频和/或音频内容项目的输入，并且 将内容项目与一个或多个对象描述符进行比较，每个对象描述符表示用于在内容项目中定位的对象以定位内容项目中的一个或多个对象的实例。 指令还可执行以为位于视频内容项目中的每个对象生成元数据，并且接收与为所选对象生成的元数据是否正确相关的验证用户输入。

公开(公告)号：US20120147265A1

公开(公告)日：2012-06-14

申请号：US12964597

申请日：2010-12-09

Applicant: Chuang Gu ,  Anil Murching ,  Chad Gibson ,  David Alles

Inventor： Chuang Gu ,  Anil Murching ,  Chad Gibson ,  David Alles

IPC: H04N7/00

CPC classification number: H04N21/44008 ,  G06F17/30793 ,  G06F17/3082 ,  G06F17/30825 ,  H04N5/4403 ,  H04N7/17318 ,  H04N21/2353 ,  H04N21/2665 ,  H04N21/435 ,  H04N21/472 ,  H04N21/8133 ,  H04N21/84

Abstract: Various embodiments related to the generation and provision of media metadata are disclosed. For example, one disclosed embodiment provides a computing device having a logic subsystem configured to execute instructions, and a data holding subsystem comprising instructions stored thereon that are executable by the processor to receive an input of a video and/or audio content item, and to compare the content item to one or more object descriptors each representing an object for locating within the content item to locate instances of one or more of the objects in the content item. The instructions are further executable to generate metadata for each object located in the video content item, and to receive a validating user input related to whether the metadata generated for a selected object is correct.

Abstract translation: 公开了与生成和提供媒体元数据相关的各种实施例。 例如，一个公开的实施例提供了具有被配置为执行指令的逻辑子系统的计算设备，以及包括存储在其上的指令的数据保持子系统，其可由处理器执行以接收视频和/或音频内容项目的输入，并且 将内容项目与一个或多个对象描述符进行比较，每个对象描述符表示用于在内容项目中定位的对象以定位内容项目中的一个或多个对象的实例。 指令还可执行以为位于视频内容项目中的每个对象生成元数据，并且接收与为所选对象生成的元数据是否正确相关的验证用户输入。

公开(公告)号：US06693962B1

公开(公告)日：2004-02-17

申请号：US09495189

申请日：2000-02-01

Applicant: Anil Murching ,  Naveen Thumpudi ,  Ali Tabatabai

Inventor： Anil Murching ,  Naveen Thumpudi ,  Ali Tabatabai

IPC: H04N718

CPC classification number: H04N19/23 ,  G06T7/11 ,  G06T7/155 ,  G06T7/44 ,  G06T2207/10016 ,  G06T2207/20021 ,  G06T2207/20152

Abstract: A method of extracting regions of homogeneous texture in a digital picture divides the digital picture into blocks, and for each block generates a feature vector as a function of the data moments. From the feature vectors a gradient for each block is extracted in one of two ways, either using a weighted Euclidean distance between the feature vectors or a probability mass function-based distance metric. The gradients are submitted to morphological preprocessing to remove small bumps in the gradient field. A watershed algorithm is then applied to the preprocessed gradient field to segment the gradient field into a set of spatially connected regions of homogeneous texture.

Abstract translation: 一种在数字图像中提取均匀纹理区域的方法将数字图像划分为块，并且对于每个块，根据数据时刻生成特征向量。 从特征向量中，以两种方式之一提取每个块的梯度，使用特征向量之间的加权欧几里德距离或基于概率质量函数的距离度量。 梯度被提交到形态预处理以去除梯度场中的小凸起。 然后将分水岭算法应用于预处理梯度场，以将梯度场分割成一组均匀纹理的空间连接区域。