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    • 2. 发明申请
    • FINDING PERCEPTUALLY SIMILAR MUSIC WITH PRECOMPUTATION
    • 发现与预期相似的音乐
    • WO0120483A3
    • 2004-02-19
    • PCT/US0025287
    • 2000-09-14
    • CANTAMETRIX INCWELLS MAXWELL JWALLER DAVIDDHILLON NAVDEEP S
    • WELLS MAXWELL JWALLER DAVIDDHILLON NAVDEEP S
    • G06F17/30G10H1/00
    • G06F17/30758G06F17/10G06F17/30017G06F17/30026G06F17/30743G06F17/30749G06F2213/0038G06F2216/01
    • A system is disclosed which allows people who enjoy listening to musical recordings to find new musical recordings that are similar target musical recording. The system uses a model of alikeness (105) which is based upon empirical observations of human perception of likeness between pairs of songs. The humans judge a representative sample of music (101) to build the model (105). Then other musical recordings (109) are applied to this system which extracts parameters (104) from the content of each recording and applies them to the model (105) to compute the differences between the parameters of the new recording and parameters developed for the model to place them in a data base of parameter differences (107). By allowing a user to select one of the recordings from the data base for which parameters have already been extracted, the system can efficiently work with a large number of recordings. A further efficiency improvement is achieved by precomputing differences between the target recording and other typical recordings within the data base. A large data base is efficiently managed by partitioning the data base into clusters.
    • 公开了一种允许欣赏音乐录音的人们找到类似于目标音乐录音的新音乐录音的系统。 该系统使用一个alikeness模型(105),该模型基于对人对两首歌之间相似性的感知的经验观察。 人类判断音乐的代表性样本(101)来建立模型(105)。 然后,其他音乐录音(109)被应用于从每个记录的内容中提取参数(104)的该系统,并将其应用于模型(105),以计算新记录的参数与为模型开发的参数之间的差异 将它们置于参数差异的数据库(107)中。 通过允许用户从已经提取了哪些参数的数据库中选择一个记录,系统可以有效地进行大量记录。 通过预先计算目标记录与数据库中的其他典型记录之间的差异可以进一步提高效率。 通过将数据库分区成群集,可以有效地管理大型数据库。
    • 9. 发明申请
    • DYNAMIC CONTROL FOR DATA CAPTURE
    • 数据捕获动态控制
    • WO2016007220A1
    • 2016-01-14
    • PCT/US2015/030930
    • 2015-05-15
    • INTEL CORPORATION
    • XU, YanEL CHOUBASSI, MahaRATCLIFF, Joshua
    • G06F17/40G06F17/30G06F17/00
    • G06K9/0002G06F1/3206G06F1/325G06F17/3028G06F21/32G06F2216/01G06F2216/03G06K9/00885G06K9/2054H04N5/225H04N5/23219H04N5/23222H04N5/23241H04N2101/00
    • This application is directed to dynamic control for data capture. A device may comprise a capture logic module to receive at least one of biometric data from a biometric sensing module, context data from a context sensing module or content data from a content sensing module. The capture logic module may determine if a capture scenario exists based on at least one of the biometric data and context data. The determination may be weighted based on an operational mode. If a capture scenario is determined to exist, the capture logic module may then determine whether to capture data based on at least the content data. Captured data may be stored in a capture database in the device (e.g., along with enhanced metadata based on at least one of the biometric data, the context data or the content data). The device may also comprise a feedback database including feedback data.
    • 此应用程序针对数据捕获的动态控制。 一种设备可以包括捕获逻辑模块,用于从生物测量感测模块接收生物特征数据中的至少一个,来自上下文感测模块的上下文数据或来自内容感测模块的内容数据。 捕获逻辑模块可以基于生物特征数据和上下文数据中的至少一个来确定捕获场景是否存在。 可以基于操作模式对该确定进行加权。 如果捕获场景被确定存在,则捕获逻辑模块可以基于至少基于内容数据来确定是否捕获数据。 捕获的数据可以存储在设备中的捕获数据库中(例如,连同基于生物特征数据,上下文数据或内容数据中的至少一个的增强的元数据)。 该装置还可以包括包括反馈数据的反馈数据库。