专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US09111146B2 Systems and methods for semantically classifying and normalizing shots in video 有权
标题翻译：在视频中语义分类和归一化镜头的系统和方法
公开(公告)号：US09111146B2
公开(公告)日：2015-08-18
申请号：US13438435
申请日：2012-04-03
申请人： Heather Dunlop , Matthew Berry
发明人： Heather Dunlop , Matthew Berry
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06K9/00718 , G06K9/00751 , G06K9/52 , G06K9/6215 , G06T7/174 , G06T2207/10016 , G06T2207/20021
摘要： The present disclosure relates to systems and methods for classifying videos based on video content. For a given video file including a plurality of frames, a subset of frames is extracted for processing. Frames that are too dark, blurry, or otherwise poor classification candidates are discarded from the subset. Generally, material classification scores that describe type of material content likely included in each frame are calculated for the remaining frames in the subset. The material classification scores are used to generate material arrangement vectors that represent the spatial arrangement of material content in each frame. The material arrangement vectors are subsequently classified to generate a scene classification score vector for each frame. The scene classification results are averaged (or otherwise processed) across all frames in the subset to associate the video file with one or more predefined scene categories related to overall types of scene content of the video file.
摘要翻译：本公开涉及基于视频内容对视频进行分类的系统和方法。对于包括多个帧的给定视频文件，提取帧的子集用于处理。从子集中丢弃太暗，模糊或其他不良分类候选的帧。通常，针对子集中的剩余帧计算描述每帧中可能包括的材料内容类型的材料分类分数。材料分类分数用于生成表示每帧中材料内容的空间排列的材料排列向量。随后将材料排列向量分类以产生每帧的场景分类分数向量。场景分类结果在子集中的所有帧上被平均（或以其它方式处理），以将视频文件与与视频文件的场景内容的总体类型相关的一个或多个预定义场景类别相关联。

2. 发明申请

US20130259375A1 Systems and Methods for Semantically Classifying and Extracting Shots in Video 有权
标题翻译：视频中语义分类和提取镜头的系统和方法
公开(公告)号：US20130259375A1
公开(公告)日：2013-10-03
申请号：US13438395
申请日：2012-04-03
申请人： Heather Dunlop , Matthew Berry
发明人： Heather Dunlop , Matthew Berry
IPC分类号： G06K9/62 , G06K9/34
CPC分类号： G06K9/00684 , G06K9/00697 , G06K9/00718 , G06K9/00744 , G06K9/036 , G06K9/4676
摘要： The present disclosure relates to systems and methods for classifying videos based on video content. For a given video file including a plurality of frames, a subset of frames is extracted for processing. Frames that are too dark, blurry, or otherwise poor classification candidates are discarded from the subset. Generally, material classification scores that describe type of material content likely included in each frame are calculated for the remaining frames in the subset. The material classification scores are used to generate material arrangement vectors that represent the spatial arrangement of material content in each frame. The material arrangement vectors are subsequently classified to generate a scene classification score vector for each frame. The scene classification results are averaged (or otherwise processed) across all frames in the subset to associate the video file with one or more predefined scene categories related to overall types of scene content of the video file.
摘要翻译：本公开涉及基于视频内容对视频进行分类的系统和方法。对于包括多个帧的给定视频文件，提取帧的子集用于处理。从子集中丢弃太暗，模糊或其他不良分类候选的帧。通常，针对子集中的剩余帧计算描述每帧中可能包括的材料内容类型的材料分类分数。材料分类分数用于生成表示每帧中材料内容的空间排列的材料排列向量。随后将材料排列向量分类以产生每帧的场景分类分数向量。场景分类结果在子集中的所有帧上被平均（或以其它方式处理），以将视频文件与与视频文件的场景内容的总体类型相关的一个或多个预定义场景类别相关联。

3. 发明申请

US20130166587A1 User Interface for Viewing Targeted Segments of Multimedia Content Based on Time-Based Metadata Search Criteria 审中-公开
标题翻译：基于时间元数据搜索标准查看多媒体内容的目标段的用户界面
公开(公告)号：US20130166587A1
公开(公告)日：2013-06-27
申请号：US13334285
申请日：2011-12-22
申请人： Matthew Berry
发明人： Matthew Berry
IPC分类号： G06F17/30
CPC分类号： G06F16/71 , G06F16/48 , G06F16/489 , G06F16/7867
摘要： A system and method for navigating digital media assets including a navigation system configured to receive a search query in response to a user input and process the search query by applying the search query to a search index of digital media asset conventional and time-based metadata and determining search results of titles of and start points in time within digital media assets that satisfy the search query. The navigation system may then display the search results to the user through the user interface. The search results may be displayed in a hierarchical format, wherein the title of the digital media asset is displayed and upon selecting the title of the digital media asset, the start points in time within that digital media asset are displayed or played as a video to the user through the user interface.
摘要翻译：一种用于导航数字媒体资产的系统和方法，包括导航系统，该导航系统被配置为响应于用户输入接收搜索查询，并通过将搜索查询应用于数字媒体资产常规和基于时间的元数据的搜索索引来处理搜索查询，以及确定满足搜索查询的数字媒体资产内的标题和时间点的搜索结果。然后，导航系统可以通过用户界面将搜索结果显示给用户。搜索结果可以以分层格式显示，其中显示数字媒体资产的标题，并且在选择数字媒体资产的标题时，该数字媒体资产内的起始时间点被显示或播放为视频用户通过用户界面。

4. 发明授权

US08564721B1 Timeline alignment and coordination for closed-caption text using speech recognition transcripts 有权
标题翻译：使用语音识别记录的闭路字幕文本的时间线对齐和协调
公开(公告)号：US08564721B1
公开(公告)日：2013-10-22
申请号：US13596106
申请日：2012-08-28
申请人： Matthew Berry , Changwen Yang
发明人： Matthew Berry , Changwen Yang
IPC分类号： H04N9/475
CPC分类号： H04N21/4828 , G10H2240/325 , H04N21/234336 , H04N21/4307 , H04N21/4884 , H04N21/8405 , H04N21/8455
摘要： The addition of temporal positions to an inverted index allows for temporal queries in addition to phrase queries. Store additional binary data for each term instance in the word-level index to prepare for searching in response to time-based queries from a user is accomplished through the use of Lucene's binary payload feature where the payload structure is defined for use in such searches. The pre-defined payload fields consist of three integers, which account for 12 extra bytes that must be stored for each term instance. A content database on the Master/Administrator server node provides the indexes for search into content in response to user events, returning results in JSON format. The search results may then be used to locate and present content segments to a user containing both requested search term results and the time location and duration within a content asset where the search term(s) is found.
摘要翻译：将时间位置添加到反向索引允许除了短语查询之外的时间查询。在字级索引中存储每个术语实例的额外二进制数据，以便响应于来自用户的基于时间的查询准备搜索，这是通过使用Lucene的二进制有效载荷特征来实现的，其中定义了有效载荷结构用于这种搜索。预定义的有效负载字段由三个整数组成，它们占用每个术语实例必须存储的12个额外字节。 Master / Administrator服务器节点上的内容数据库提供用于响应用户事件搜索内容的索引，返回JSON格式的结果。然后可以使用搜索结果来定位和呈现内容片段给包含所请求的搜索词结果以及找到搜索词的内容资产内的时间位置和持续时间的用户。

5. 发明申请

US20130259390A1 Systems and Methods for Semantically Classifying and Normalizing Shots in Video 有权
标题翻译：视频中语义分类和归一化镜头的系统和方法
公开(公告)号：US20130259390A1
公开(公告)日：2013-10-03
申请号：US13438435
申请日：2012-04-03
申请人： Heather Dunlop , Matthew Berry
发明人： Heather Dunlop , Matthew Berry
IPC分类号： G06K9/62
CPC分类号： G06K9/00718 , G06K9/00751 , G06K9/52 , G06K9/6215 , G06T7/174 , G06T2207/10016 , G06T2207/20021
摘要： The present disclosure relates to systems and methods for classifying videos based on video content. For a given video file including a plurality of frames, a subset of frames is extracted for processing. Frames that are too dark, blurry, or otherwise poor classification candidates are discarded from the subset. Generally, material classification scores that describe type of material content likely included in each frame are calculated for the remaining frames in the subset. The material classification scores are used to generate material arrangement vectors that represent the spatial arrangement of material content in each frame. The material arrangement vectors are subsequently classified to generate a scene classification score vector for each frame. The scene classification results are averaged (or otherwise processed) across all frames in the subset to associate the video file with one or more predefined scene categories related to overall types of scene content of the video file.
摘要翻译：本公开涉及基于视频内容对视频进行分类的系统和方法。对于包括多个帧的给定视频文件，提取帧的子集用于处理。从子集中丢弃太暗，模糊或其他不良分类候选的帧。通常，针对子集中的剩余帧计算描述每帧中可能包括的材料内容类型的材料分类分数。材料分类分数用于生成表示每帧中材料内容的空间排列的材料排列向量。随后将材料排列向量分类以产生每帧的场景分类分数向量。场景分类结果在子集中的所有帧上被平均（或以其它方式处理），以将视频文件与与视频文件的场景内容的总体类型相关的一个或多个预定义场景类别相关联。

6. 发明申请

US20110196614A1 BLOOD TRANSCRIPTIONAL SIGNATURE OF MYCOBACTERIUM TUBERCULOSIS INFECTION 审中-公开
标题翻译：肺结核感染的血液转录征
公开(公告)号：US20110196614A1
公开(公告)日：2011-08-11
申请号：US12602488
申请日：2009-06-25
申请人： Jacques F. Banchereau , Damien Chaussabel , Anne O'Garra , Matthew Berry , Onn Min Kon
发明人： Jacques F. Banchereau , Damien Chaussabel , Anne O'Garra , Matthew Berry , Onn Min Kon
IPC分类号： G06F19/00 , G01N33/48
CPC分类号： G01N33/5695 , C12Q1/6883 , C12Q2600/112 , C12Q2600/158 , G01N2800/60
摘要： The present invention includes methods, systems and kits for distinguishing between active and latent mycobacterium tuberculosis infection in a patient suspected of being infected with mycobacterium tuberculosis, and distinguishing such patients from uninfected individuals, the method including the steps of obtaining a gene expression dataset from a whole blood obtained sample from the patient and determining the differential expression of one or more transcriptional gene expression modules that distinguish between infected and non-infected patients, wherein the dataset demonstrates an aggregate change in the levels of polynucleotides in the one or more transcriptional gene expression modules as compared to matched non-infected patients, thereby distinguishing between active and latent mycobacterium tuberculosis infection.
摘要翻译：本发明包括用于区分疑似感染结核分枝杆菌的患者中的活性和潜在结核分枝杆菌感染的方法，系统和试剂盒，并将这些患者与未感染个体区分开，所述方法包括以下步骤：获得基因表达数据集全血从患者获得样品并确定区分感染和未感染患者的一个或多个转录基因表达模块的差异表达，其中数据集显示一个或多个转录基因表达中多核苷酸水平的总体变化模块与匹配的非感染患者相比，从而区分活动性和潜在结核分枝杆菌感染。

7. 发明授权

US09020263B2 Systems and methods for semantically classifying and extracting shots in video 有权
标题翻译：视频中语义分类和提取镜头的系统和方法
公开(公告)号：US09020263B2
公开(公告)日：2015-04-28
申请号：US13438395
申请日：2012-04-03
申请人： Heather Dunlop , Matthew Berry
发明人： Heather Dunlop , Matthew Berry
IPC分类号： G06K9/34 , G06K9/62 , G06K9/00 , G06K9/03 , G06K9/46
CPC分类号： G06K9/00684 , G06K9/00697 , G06K9/00718 , G06K9/00744 , G06K9/036 , G06K9/4676
摘要： The present disclosure relates to systems and methods for classifying videos based on video content. For a given video file including a plurality of frames, a subset of frames is extracted for processing. Frames that are too dark, blurry, or otherwise poor classification candidates are discarded from the subset. Generally, material classification scores that describe type of material content likely included in each frame are calculated for the remaining frames in the subset. The material classification scores are used to generate material arrangement vectors that represent the spatial arrangement of material content in each frame. The material arrangement vectors are subsequently classified to generate a scene classification score vector for each frame. The scene classification results are averaged (or otherwise processed) across all frames in the subset to associate the video file with one or more predefined scene categories related to overall types of scene content of the video file.
摘要翻译：本公开涉及基于视频内容对视频进行分类的系统和方法。对于包括多个帧的给定视频文件，提取帧的子集用于处理。从子集中丢弃太暗，模糊或其他不良分类候选的帧。通常，针对子集中的剩余帧计算描述每帧中可能包括的材料内容类型的材料分类分数。材料分类分数用于生成表示每帧中材料内容的空间排列的材料排列向量。随后将材料排列向量分类以产生每帧的场景分类分数向量。场景分类结果在子集中的所有帧上被平均（或以其它方式处理），以将视频文件与与视频文件的场景内容的总体类型相关的一个或多个预定义场景类别相关联。

8. 发明申请

US20140321746A9 Systems and Methods for Semantically Classifying and Extracting Shots in Video 有权
标题翻译：视频中语义分类和提取镜头的系统和方法
公开(公告)号：US20140321746A9
公开(公告)日：2014-10-30
申请号：US13438395
申请日：2012-04-03
申请人： Heather Dunlop , Matthew Berry
发明人： Heather Dunlop , Matthew Berry
IPC分类号： G06K9/62 , G06K9/34
CPC分类号： G06K9/00684 , G06K9/00697 , G06K9/00718 , G06K9/00744 , G06K9/036 , G06K9/4676
摘要： The present disclosure relates to systems and methods for classifying videos based on video content. For a given video file including a plurality of frames, a subset of frames is extracted for processing. Frames that are too dark, blurry, or otherwise poor classification candidates are discarded from the subset. Generally, material classification scores that describe type of material content likely included in each frame are calculated for the remaining frames in the subset. The material classification scores are used to generate material arrangement vectors that represent the spatial arrangement of material content in each frame. The material arrangement vectors are subsequently classified to generate a scene classification score vector for each frame. The scene classification results are averaged (or otherwise processed) across all frames in the subset to associate the video file with one or more predefined scene categories related to overall types of scene content of the video file.
摘要翻译：本公开涉及基于视频内容对视频进行分类的系统和方法。对于包括多个帧的给定视频文件，提取帧的子集用于处理。从子集中丢弃太暗，模糊或其他不良分类候选的帧。通常，针对子集中的剩余帧计算描述每帧中可能包括的材料内容类型的材料分类分数。材料分类分数用于生成表示每帧中材料内容的空间排列的材料排列向量。随后将材料排列向量分类以产生每帧的场景分类分数向量。场景分类结果在子集中的所有帧上被平均（或以其它方式处理），以将视频文件与与视频文件的场景内容的总体类型相关的一个或多个预定义场景类别相关联。

9. 发明申请

US20110129817A1 BLOOD TRANSCRIPTIONAL SIGNATURE OF ACTIVE VERSUS LATENT MYCOBACTERIUM TUBERCULOSIS INFECTION 审中-公开
标题翻译：活动性血清MYCOBACTERIUM TUBCCOSOS感染的血液转录水平
公开(公告)号：US20110129817A1
公开(公告)日：2011-06-02
申请号：US12628148
申请日：2009-11-30
申请人： Jacques F. Banchereau , Damien Chaussabel , Anne O'Garra , Matthew Berry , Onn Min Kon
发明人： Jacques F. Banchereau , Damien Chaussabel , Anne O'Garra , Matthew Berry , Onn Min Kon
IPC分类号： C12Q1/68 , C12M1/34
CPC分类号： C12Q1/689 , C12Q1/6883 , C12Q2600/106 , C12Q2600/112 , C12Q2600/158
摘要： The present invention includes methods, systems and kits for distinguishing between active and latent mycobacterium tuberculosis infection in a patient suspected of being infected with Mycobacterium tuberculosis, the method including the steps of obtaining a patient gene expression dataset from a patient suspected of being infected with Mycobacterium tuberculosis; sorting the patient gene expression dataset into one or more gene modules associated with Mycobacterium tuberculosis infection; and comparing the patient gene expression dataset for each of the one or more gene modules to a gene expression dataset from a non-patient; wherein an increase or decrease in the totality of gene expression in the patient gene expression dataset for the one or more gene modules is indicative of active Mycobacterium tuberculosis infection.
摘要翻译：本发明包括用于区分疑似感染结核分枝杆菌的患者的活性和潜在结核分枝杆菌感染的方法，系统和试剂盒，所述方法包括以下步骤：从疑似感染分枝杆菌的患者获得患者基因表达数据集结核; 将患者基因表达数据集分类成与结核分枝杆菌感染相关的一个或多个基因模块; 以及将所述一个或多个基因模块中的每一个的患者基因表达数据集与来自非患者的基因表达数据集进行比较; 其中所述一个或多个基因模块的患者基因表达数据集中基因表达的总和的增加或减少指示活动性结核分枝杆菌感染。

10. 发明申请

US20060235808A1 SYSTEM FOR MANAGING RECYCLABLE AND NON-RECYCLABLE MATERIALS 审中-公开
标题翻译：管理可回收和不可回收材料的系统
公开(公告)号：US20060235808A1
公开(公告)日：2006-10-19
申请号：US11422215
申请日：2006-06-05
申请人： Matthew Berry
发明人： Matthew Berry
IPC分类号： G06F17/00
CPC分类号： G06Q10/08
摘要： A systematic method for managing recyclable and non-recyclable waste. The method includes the step of identifying an amount of recyclable waste. The method also includes the step of determining a credit amount based on the amount of recyclable waste. The method further includes the step of reporting the credit amount to the customer. A container for use in a recycling system is also described. The container may include a structure for containing recyclable waste; and indicia may be disposed on the structure. The indicia identify the value of the recyclable waste contained by the structure.
摘要翻译：管理可回收利用和不可回收废物的系统方法。该方法包括识别可回收废物的量的步骤。该方法还包括基于可回收废物量来确定信用额度的步骤。该方法还包括向客户报告信用额度的步骤。还描述了用于再循环系统的容器。容器可以包括用于容纳可回收废物的结构; 并且标记可以设置在结构上。标记确定了结构所包含的可回收废物的价值。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式