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    • 2. 发明申请
    • SYSTEM AND METHOD FOR REAL-TIME NEW EVENT DETECTION ON VIDEO STREAMS
    • 视频流实时新事件检测系统及方法
    • US20140344845A1
    • 2014-11-20
    • US13759638
    • 2013-02-05
    • International Business Machines Corporation
    • Gang LuoRong YanPhilip Shi-Lung Yu
    • H04N21/234H04N21/454H04N21/4545H04N21/44
    • H04N21/23418G06K9/00765H04N21/44008H04N21/4542H04N21/45452
    • Techniques are disclosed for detecting new events in a video stream that yield improved detection efficiency in real time. For example, a method determines whether a given event is a new event in a video stream. The video stream includes a plurality of events. A first step extracts a first set of features (e.g., text features) from the given event. The first set of features is computationally less expensive to process as compared to a second set of features (e.g., image features) associated with the given event. A second step computes one or more first dissimilarity values between the given event and one or more previous events in the video stream using only the first set of features when one or more first dissimilarity criteria exist. A third step determines whether the given event is a new event based on the one or more computed first dissimilarity values.
    • 公开了用于检测视频流中的新事件的技术,其实时地提高了检测效率。 例如,一种方法确定给定事件是否是视频流中的新事件。 视频流包括多个事件。 第一步骤从给定事件中提取第一组特征(例如,文本特征)。 与给定事件相关联的第二组特征(例如,图像特征)相比,第一组特征在计算上较便宜。 第二步骤当存在一个或多个第一不相似性标准时,仅使用第一组特征,在给定事件与视频流中的一个或多个先前事件之间计算一个或多个第一不相似性值。 第三步骤基于一个或多个计算的第一不相似性值确定给定事件是否是新的事件。
    • 7. 发明授权
    • System and method for real-time new event detection on video streams
    • 用于视频流实时新事件检测的系统和方法
    • US09215479B2
    • 2015-12-15
    • US13759638
    • 2013-02-05
    • International Business Machines Corporation
    • Gang LuoRong YanPhilip Shi-Lung Yu
    • G06K9/66G06K9/62H04N21/234G06K9/00H04N21/44H04N21/454H04N21/4545
    • H04N21/23418G06K9/00765H04N21/44008H04N21/4542H04N21/45452
    • Techniques are disclosed for detecting new events in a video stream that yield improved detection efficiency in real time. For example, a method determines whether a given event is a new event in a video stream. The video stream includes a plurality of events. A first step extracts a first set of features (e.g., text features) from the given event. The first set of features is computationally less expensive to process as compared to a second set of features (e.g., image features) associated with the given event. A second step computes one or more first dissimilarity values between the given event and one or more previous events in the video stream using only the first set of features when one or more first dissimilarity criteria exist. A third step determines whether the given event is a new event based on the one or more computed first dissimilarity values.
    • 公开了用于检测视频流中的新事件的技术,其实时地提高了检测效率。 例如,一种方法确定给定事件是否是视频流中的新事件。 视频流包括多个事件。 第一步骤从给定事件中提取第一组特征(例如,文本特征)。 与给定事件相关联的第二组特征(例如,图像特征)相比,第一组特征在计算上较便宜。 第二步骤当存在一个或多个第一不相似性标准时,仅使用第一组特征,在给定事件与视频流中的一个或多个先前事件之间计算一个或多个第一不相似性值。 第三步骤基于一个或多个计算的第一不相似性值确定给定事件是否是新的事件。
    • 8. 发明申请
    • SYSTEM AND METHOD FOR RESOURCE-ADAPTIVE, REAL-TIME NEW EVENT DETECTION
    • 用于资源自适应,实时新事件检测的系统和方法
    • US20150339372A1
    • 2015-11-26
    • US14668561
    • 2015-03-25
    • INTERNATIONAL BUSINESS MACHINES CORPORATION
    • Gang LuoChunqiang TangPhilip Shi-lung Yu
    • G06F17/30
    • G06F17/30598G06F17/30011G06F17/30117G06F17/30312G06F17/30516G06F17/30684
    • There are provided a system and method for resource adaptive, real-time new event detection. The method includes capturing, from among documents in a document streaming environment that includes a plurality of remote streaming document sources, first-story documents. The method further includes storing any of the documents determined to be the first-story documents in a memory. The method also includes classifying the documents as important or non-important based on pre-specified criteria. The method additionally includes storing, in the memory, only information of the documents classified as important, when the memory overflows. The method further includes discarding the documents that are classified as non-important when a document consumption rate from the memory is less than a document insertion rate into the memory. The method additionally includes removing the information of the documents classified as important from the memory subsequent to one of consumption and processing by a consumer.
    • 提供了一种用于资源自适应,实时新事件检测的系统和方法。 该方法包括从包括多个远程流文档源的文档流传输环境中的文档中捕获第一故事文档。 该方法还包括将确定为第一故事文档的任何文档存储在存储器中。 该方法还包括基于预先指定的标准将文档分类为重要或非重要的。 该方法还包括当存储器溢出时,在存储器中仅存储被分类为重要的文档的信息。 该方法还包括当来自存储器的文档消耗率小于文件插入速率进入存储器时,丢弃被分类为不重要的文档。 该方法另外包括在消费者的消费和处理之一之后从存储器中分离为重要的文档的信息。