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1. 发明申请

US20140055347A1 IMAGING TASK PIPELINE ACCELERATION 审中-公开
标题翻译：成像任务管道加速
公开(公告)号：US20140055347A1
公开(公告)日：2014-02-27
申请号：US13993568
申请日：2011-12-29
申请人： Stewart N. Taylor , Scott A. Krig
发明人： Stewart N. Taylor , Scott A. Krig
IPC分类号： G06T1/20
CPC分类号： G06T1/20 , G06F9/5044 , Y02D10/22
摘要： Systems, methods, and articles of manufacture for imaging task pipeline acceleration are provided. Imaging tasks in a pipeline of a system having heterogeneous processing capabilities, for example, may be configured to increase the speed at which such imaging tasks are accomplished.
摘要翻译：提供了用于成像任务管道加速的系统，方法和制造。例如，具有异构处理能力的系统的流水线中的成像任务可以被配置为增加这样的成像任务的完成速度。

2. 发明申请

US20130257883A1 IMAGE STREAM PIPELINE CONTROLLER FOR DEPLOYING IMAGE PRIMITIVES TO A COMPUTATION FABRIC 有权
标题翻译：用于将图像引导到计算织物的图像流水线控制器
公开(公告)号：US20130257883A1
公开(公告)日：2013-10-03
申请号：US13994013
申请日：2011-12-28
申请人： Scott A. Krig , Stewart N. Taylor
发明人： Scott A. Krig , Stewart N. Taylor
IPC分类号： G06T1/20
CPC分类号： G06T1/20 , G06K9/00335 , G06K9/48 , G06T7/12 , G06T7/49 , G06T15/005 , G06T2207/10016
摘要： According to some embodiments, an image pipeline controller may determine an image stream having a plurality of image primitives to be executed. Each image primitive may be, for example, associated with an image algorithm and a set of primitive attributes. The image pipeline controller may then automatically deploy the set of image primitives to an image computation fabric based at least in part on primitive attributes.
摘要翻译：根据一些实施例，图像流水线控制器可以确定具有要执行的多个图像原语的图像流。每个图像原语可以例如与图像算法和一组原始属性相关联。然后，图像流水线控制器可以至少部分地基于原始属性自动地将图像原语集合部署到图像计算结构。

3. 发明申请

US20140036317A1 MANAGING CONSISTENT DATA OBJECTS 有权
标题翻译：管理一致数据对象
公开(公告)号：US20140036317A1
公开(公告)日：2014-02-06
申请号：US13566421
申请日：2012-08-03
申请人： Scott A. Krig , Stewart N. Taylor
发明人： Scott A. Krig , Stewart N. Taylor
IPC分类号： G06F3/06 , H04N1/00
CPC分类号： G06F17/30076 , G06F3/0638 , G06F12/08 , G06F17/30091 , G06F17/30179 , G06F17/30247 , G06F17/30256 , G06F17/30569 , G06T1/20 , H04N1/00204 , H04N1/32101 , H04N1/32358 , H04N2201/3225 , H04N2201/325 , H04N2201/3274 , H04N2201/33378
摘要： A method and system for managing consistent data objects are included herein. The method includes detecting an operation to store a consistent data object. Additionally, the method includes detecting an attribute for the consistent data object. Furthermore, the method includes storing the consistent data object based on the attribute. In addition, the method includes determining an additional format of the consistent data object is to be stored. The method also includes generating a second consistent data object based on the additional format and storing the second consistent data object.
摘要翻译：这里包括用于管理一致的数据对象的方法和系统。该方法包括检测用于存储一致的数据对象的操作。另外，该方法包括检测一致的数据对象的属性。此外，该方法包括基于属性来存储一致的数据对象。此外，该方法包括确定要存储的一致数据对象的附加格式。该方法还包括基于附加格式生成第二一致数据对象并存储第二一致数据对象。

4. 发明授权

US09389794B2 Managing consistent data objects 有权
标题翻译：管理一致的数据对象
公开(公告)号：US09389794B2
公开(公告)日：2016-07-12
申请号：US13566421
申请日：2012-08-03
申请人： Scott A. Krig , Stewart N. Taylor
发明人： Scott A. Krig , Stewart N. Taylor
IPC分类号： G06F3/06 , G06F17/30 , G06F12/08 , H04N1/32 , H04N1/00
CPC分类号： G06F17/30076 , G06F3/0638 , G06F12/08 , G06F17/30091 , G06F17/30179 , G06F17/30247 , G06F17/30256 , G06F17/30569 , G06T1/20 , H04N1/00204 , H04N1/32101 , H04N1/32358 , H04N2201/3225 , H04N2201/325 , H04N2201/3274 , H04N2201/33378
摘要： A method and system for managing consistent data objects are included herein. The method includes detecting an operation to store a consistent data object. Additionally, the method includes detecting an attribute for the consistent data object. Furthermore, the method includes storing the consistent data object based on the attribute. In addition, the method includes determining an additional format of the consistent data object is to be stored. The method also includes generating a second consistent data object based on the additional format and storing the second consistent data object.
摘要翻译：这里包括用于管理一致的数据对象的方法和系统。该方法包括检测用于存储一致的数据对象的操作。另外，该方法包括检测一致的数据对象的属性。此外，该方法包括基于属性来存储一致的数据对象。此外，该方法包括确定要存储的一致数据对象的附加格式。该方法还包括基于附加格式生成第二一致数据对象并存储第二一致数据对象。

5. 发明授权

US09378534B2 Image stream pipeline controller for deploying image primitives to a computation fabric 有权
标题翻译：用于将图像原语部署到计算结构的图像流管线控制器
公开(公告)号：US09378534B2
公开(公告)日：2016-06-28
申请号：US13994013
申请日：2011-12-28
申请人： Scott A. Krig , Stewart N. Taylor
发明人： Scott A. Krig , Stewart N. Taylor
IPC分类号： G06T1/20 , G06T7/00 , G06T15/00 , G06K9/48
CPC分类号： G06T1/20 , G06K9/00335 , G06K9/48 , G06T7/12 , G06T7/49 , G06T15/005 , G06T2207/10016
摘要： According to some embodiments, an image pipeline controller may determine an image stream having a plurality of image primitives to be executed. Each image primitive may be, for example, associated with an image algorithm and a set of primitive attributes. The image pipeline controller may then automatically deploy the set of image primitives to an image computation fabric based at least in part on primitive attributes.
摘要翻译：根据一些实施例，图像流水线控制器可以确定具有要执行的多个图像原语的图像流。每个图像原语可以例如与图像算法和一组原始属性相关联。然后，图像流水线控制器可以至少部分地基于原始属性自动地将图像原语集合部署到图像计算结构。

6. 发明授权

US07657881B2 Using optimized libraries to improve performance of deployed application code at runtime 有权
标题翻译：使用优化的库来提高运行时部署的应用程序代码的性能
公开(公告)号：US07657881B2
公开(公告)日：2010-02-02
申请号：US11019803
申请日：2004-12-21
申请人： Gururaj Nagendra , Stewart N. Taylor
发明人： Gururaj Nagendra , Stewart N. Taylor
IPC分类号： G06F9/45
CPC分类号： G06F9/45516
摘要： A method to automatically replace computationally intensive functions with optimized functions in managed code is disclosed. If the underlying processor has associated optimized functions, managed application code is disassembled and parsed to find computationally intensive functions. The computationally intensive functions are then replaced with optimized functions, and the application code is re-compiled if necessary.
摘要翻译：公开了一种在托管代码中自动替换具有优化功能的计算密集型函数的方法。如果底层处理器具有关联的优化功能，则管理的应用程序代码将被拆解并解析以查找计算密集型函数。然后用优化的功能代替计算密集型函数，如果需要，应用代码被重新编译。

7. 发明申请

US20120243787A1 SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR DOCUMENT IMAGE ANALYSIS USING FEATURE EXTRACTION FUNCTIONS 有权
标题翻译：使用特征提取函数的文档图像分析的系统，方法和计算机程序产品
公开(公告)号：US20120243787A1
公开(公告)日：2012-09-27
申请号：US13071999
申请日：2011-03-25
申请人： Yuh-Lin E. Chang , Stewart N. Taylor , Michael F. Fallon
发明人： Yuh-Lin E. Chang , Stewart N. Taylor , Michael F. Fallon
IPC分类号： G06K9/34
CPC分类号： G06T5/002 , G06K9/00456 , G06T7/11 , G06T2207/30176
摘要： Methods, systems and computer program products to improve the efficiency and computational speed of an image enhancement process. In an embodiment, information that is generated as interim results during feature extraction may be used in a segmentation and classification process and in a content adaptive enhancement process. In particular, a cleaner image that is generated during a noise removal phase of feature extraction may be used in a content adaptive enhancement process. This saves the content adaptive enhancement process from having to generate a cleaner image on its own. In addition, low-level segmentation information that is generated during a neighborhood analysis and cleanup phase of feature extraction may be used in a segmentation and classification process. This saves the segmentation and classification process from having to generate low-level segmentation information on its own.
摘要翻译：方法，系统和计算机程序产品，以提高图像增强过程的效率和计算速度。在一个实施例中，在特征提取期间作为中期结果生成的信息可以用于分割和分类过程以及内容自适应增强过程中。特别地，可以在内容自适应增强处理中使用在特征提取的噪声去除阶段期间产生的更清晰的图像。这样可以节省内容自适应增强过程，而不必自己生成更清晰的图像。此外，在分割和分类过程中可以使用在特征提取的邻域分析和清除阶段期间生成的低级分割信息。这样可以节省分割和分类过程，而不必自行生成低级分割信息。

8. 发明申请

US20220201320A1 VIDEO ANALYTICS USING SCALABLE VIDEO CODING 有权
公开(公告)号：US20220201320A1
公开(公告)日：2022-06-23
申请号：US17692817
申请日：2022-03-11
申请人： Passant V. Karunaratne , Stewart N. Taylor , Ryan D. Metcalfe
发明人： Passant V. Karunaratne , Stewart N. Taylor , Ryan D. Metcalfe
IPC分类号： H04N19/29 , G06V10/82 , G06T3/40 , H04N19/59 , H04N19/187 , H04N19/34 , G06V20/40
摘要： In one embodiment, a computing device includes processing circuitry and interface circuitry. The processing circuitry receives an encoded video stream via the interface circuitry, which contains video encoded within multiple layers corresponding to different video resolutions, including a base layer and one or more enhancement layers. The base layer encodes the video at a base resolution and the one or more enhancement layers encode the video at one or more enhanced resolutions higher than the base resolution. The processing circuitry extracts the base layer from the encoded video stream and decodes the video at the base resolution from the base layer. The processing circuitry then detects content in the video at the base resolution and generates metadata indicating the content detected in the video.

9. 发明授权

US08379980B2 System, method and computer program product for document image analysis using feature extraction functions 有权
标题翻译：使用特征提取功能的文档图像分析的系统，方法和计算机程序产品
公开(公告)号：US08379980B2
公开(公告)日：2013-02-19
申请号：US13071999
申请日：2011-03-25
申请人： Yuh-Lin E. Chang , Stewart N. Taylor , Michael F. Fallon
发明人： Yuh-Lin E. Chang , Stewart N. Taylor , Michael F. Fallon
IPC分类号： G06K9/40
CPC分类号： G06T5/002 , G06K9/00456 , G06T7/11 , G06T2207/30176
摘要： Methods, systems and computer program products to improve the efficiency and computational speed of an image enhancement process. In an embodiment, information that is generated as interim results during feature extraction may be used in a segmentation and classification process and in a content adaptive enhancement process. In particular, a cleaner image that is generated during a noise removal phase of feature extraction may be used in a content adaptive enhancement process. This saves the content adaptive enhancement process from having to generate a cleaner image on its own. In addition, low-level segmentation information that is generated during a neighborhood analysis and cleanup phase of feature extraction may be used in a segmentation and classification process. This saves the segmentation and classification process from having to generate low-level segmentation information on its own.
摘要翻译：方法，系统和计算机程序产品，以提高图像增强过程的效率和计算速度。在一个实施例中，在特征提取期间作为中期结果生成的信息可以用于分割和分类过程以及内容自适应增强过程中。特别地，可以在内容自适应增强处理中使用在特征提取的噪声去除阶段期间产生的更清晰的图像。这样可以节省内容自适应增强过程，而不必自己生成更清晰的图像。此外，在分割和分类过程中可以使用在特征提取的邻域分析和清除阶段期间生成的低级分割信息。这样可以节省分割和分类过程，而不必自行生成低级分割信息。

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