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    • 81. 发明授权
    • System and method for resolving decoding ambiguity via dialog
    • 通过对话解决解码模糊度的系统和方法
    • US06587818B2
    • 2003-07-01
    • US09428949
    • 1999-10-28
    • Dimitri KanevskyTaufique SamdaniWlodek ZadroznyAlexander Zlatsin
    • Dimitri KanevskyTaufique SamdaniWlodek ZadroznyAlexander Zlatsin
    • G01L1522
    • G10L15/22
    • A method of language recognition wherein decoding ambiguities are identified and at least partially resolved intermediate to the language decoding procedures to reduce the subsequent number of final decoding alternatives. The user is questioned about identified decoding ambiguities as they are being decoded. There are two language decoding levels: fast match and detailed match. During the fast match decoding level a large potential candidate list is generated, very quickly. Then, during the more comprehensive (and slower) detailed match decoding level, the fast match candidate list is applied to the ambiguity to reduce the potential selections for final recognition. During the detailed match decoding level a unique candidate is selected for decoding. Decoding may be interactive and, as each ambiguity is encountered, recognition suspended to present questions to the user that will discriminate between potential response classes. Thus, recognition performance and accuracy is improved by interrupting recognition, intermediate to the decoding process, and allowing the user to select appropriate response classes to narrow the number of final decoding alternatives.
    • 一种语言识别方法,其中解码模糊度被识别并且至少部分地解析为语言解码程序的中间,以减少后续数量的最终解码替代。 当被解码时,用户被质疑识别的解码模糊度。 有两种语言解码级别:快速匹配和详细匹配。 在快速匹配解码级别期间,非常快地生成大的潜在候选列表。 然后,在更全面(更慢)的详细匹配解码级别中,将快速匹配候选列表应用于模糊度以减少最终识别的潜在选择。 在详细匹配解码级别期间,选择唯一的候选来进行解码。 解码可以是交互式的,并且当遇到每个歧义时,被暂停以识别潜在响应类别的用户的问题的识别。 因此,通过中断识别,解码过程中间,并且允许用户选择适当的响应等级以缩小最终解码替代的数量来提高识别性能和精度。
    • 84. 发明授权
    • Virtual map system and method for tracking objects
    • 用于跟踪对象的虚拟地图系统和方法
    • US06377296B1
    • 2002-04-23
    • US09238845
    • 1999-01-28
    • Alexander ZlatsinDimitri Kanevsky
    • Alexander ZlatsinDimitri Kanevsky
    • H04N718
    • G06K9/222G06F17/30265G06K9/00335G06T7/20
    • A system, for automatically tracking objects, including a computer processor and memory, cameras and other sensors and a user interface. A user registers an object with the system by presenting the object to a camera, which produces an image of the object, and describing the object through a user interface. Based on an analysis of the image and the description provided by the user, an object identifier/tracker determines the attributes of the object, classifies the object according to the attributes, and indexes and stores the image in a database. The system will thereafter track the location of the object. Subsequently, the user can query the system to search the database to obtain information regarding the object.
    • 一种用于自动跟踪对象的系统,包括计算机处理器和存储器,摄像机和其他传感器以及用户界面。 用户通过将对象呈现给相机来产生对象的图像,并通过用户界面来描述对象,向系统注册对象。 基于图像的分析和用户提供的描述,对象标识符/跟踪器确定对象的属性,根据属性对对象进行分类,并将图像索引并存储在数据库中。 系统随后将跟踪对象的位置。 随后,用户可以查询系统来搜索数据库以获得关于对象的信息。