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    • 7. 发明申请
    • Device and process for video compression
    • 视频压缩的设备和过程
    • US20060002612A1
    • 2006-01-05
    • US11152611
    • 2005-06-14
    • Jean-Ronan VigourouxNour-Eddine Tazine
    • Jean-Ronan VigourouxNour-Eddine Tazine
    • G06K9/36
    • H04N19/179H04N19/114H04N19/142H04N19/146H04N19/159H04N19/503H04N19/61H04N19/63
    • The invention relates to a device and a process for compressing video documents. The process comprises the steps of: decomposition of the video document into shots, extraction of images representative of the said shots, measurement of the distances between the said representative images, grouping of the images whose distance is less than a predetermined threshold into a group of images, calculation of the relative cost of coding of each image with respect to the other images of the group of images, according to the invention, the process furthermore comprises the steps of calculation of a minimum spanning tree for each group of images minimizing the cost of coding of each group of images coding of each group of images by browsing the images in the order given by the said spanning tree. Application to video archiving.
    • 本发明涉及一种用于压缩视频文档的设备和过程。 该过程包括以下步骤:将视频文档分解为拍摄,提取表示所述拍摄的图像,测量所述代表图像之间的距离,将距离小于预定阈值的图像分组为一组 图像,根据本发明相对于图像组的其他图像的每个图像的编码的相对成本的计算,该过程还包括以下步骤:对于使成本最小化的每组图像计算最小生成树 通过以所述生成树给出的顺序浏览图像来对每组图像编码的每组图像进行编码。 应用于视频存档。
    • 9. 发明申请
    • Method, module, device and server for voice recognition
    • 用于语音识别的方法,模块,设备和服务器
    • US20050102142A1
    • 2005-05-12
    • US10467586
    • 2002-02-12
    • Frederic SouffletNour-Eddine Tazine
    • Frederic SouffletNour-Eddine Tazine
    • G10L15/14G10L15/18G10L15/183G10L15/30G10L15/00
    • G10L15/30G10L15/18G10L15/183
    • The invention concerns a voice recognition method implemented in at least a terminal, the voice recognition method using a language model, comprising the following steps: detecting at least a non-recognised expression in one of the terminals; recording in the terminal data representing the non-recognised expression; transmission by the terminal of the recorded data to a remote server; analysis, at the remote server, of said data and generation of data for correcting said language model taking into account at least part of the non-recognised expressions; and transmitting from the server to at least a terminal correction data, so as to enable subsequent recognition of at least some of the non-recognised expressions. The invention also concerns corresponding modules, devices and remote server.
    • 本发明涉及至少在终端中实现的语音识别方法,即使用语言模型的语音识别方法,包括以下步骤:至少检测终端之一中的未识别表达; 在终端中记录表示未被识别的表达的数据; 终端将记录的数据传输到远程服务器; 在所述远程服务器处分析所述数据并生成用于校正所述语言模型的数据,同时考虑至少部分未被识别的表达; 以及从所述服务器发送至少一个终端校正数据,以便能够随后识别所述至少一些未被识别的表达。 本发明还涉及相应的模块,设备和远程服务器。
    • 10. 发明授权
    • Method, module, device and server for voice recognition
    • 用于语音识别的方法,模块,设备和服务器
    • US07983911B2
    • 2011-07-19
    • US10467586
    • 2002-02-12
    • Frédéric SouffletNour-Eddine Tazine
    • Frédéric SouffletNour-Eddine Tazine
    • G10L15/04G10L15/00
    • G10L15/30G10L15/18G10L15/183
    • The invention relates to a speech recognition process implemented in at least one terminal (114), the speech recognition process using a language model (311), comprising the following steps: detection (502) of at least one unrecognized expression in one of the terminals; recording (503) in the terminal of data representative of the unrecognized expression (309); transmission (603) by the terminal of the recorded data to a remote server (116); analysis, (803) at the level of the remote server, of the data and generation (805) of information for correcting the said language model taking account of at least one part of the unrecognized expression; and transmission (806) from the server to at least one terminal (114, 117, 118) of the correcting information, so as to allow future recognition of at least certain of the unrecognized expressions. The invention also relates to corresponding modules, devices (102) and a remote server (116).
    • 本发明涉及在至少一个终端(114)中实现的语音识别过程,所述语音识别过程使用语言模型(311),包括以下步骤:在终端之一中检测(502)至少一个无法识别的表达 ; 记录(503)在代表无法识别的表达(309)的数据的终端中; 将记录数据的终端传输(603)到远程服务器(116); 分析(803)在远程服务器的级别,考虑到至少一部分未被识别的表达的数据和生成(805)用于校正所述语言模型的信息; 以及从所述服务器向所述校正信息的至少一个终端(114,117,118)发送(806),以便允许将来识别至少某些所述未被识别的表达。 本发明还涉及对应的模块,设备(102)和远程服务器(116)。