Invention Grant
US08799196B2 Method for reducing an amount of storage required for maintaining large-scale collection of multimedia data elements by unsupervised clustering of multimedia data elements 有权
用于通过多媒体数据元素的无监督聚类来减少维护多媒体数据元素的大规模收集所需的存储量的方法

  • Patent Title: Method for reducing an amount of storage required for maintaining large-scale collection of multimedia data elements by unsupervised clustering of multimedia data elements
  • Patent Title (中): 用于通过多媒体数据元素的无监督聚类来减少维护多媒体数据元素的大规模收集所需的存储量的方法
  • Application No.: US13731921
    Application Date: 2012-12-31
  • Publication No.: US08799196B2
    Publication Date: 2014-08-05
  • Inventor: Igal RaichelquazKarina OrdinaevYehoshua Y. Zeevi
  • Applicant: Cortica, Ltd.
  • Applicant Address: IL Ramat Gan
  • Assignee: Cortica, Ltd.
  • Current Assignee: Cortica, Ltd.
  • Current Assignee Address: IL Ramat Gan
  • Agency: Myers Wolin, LLC
  • Priority: IL171577 20051026; IL173409 20060129; IL185414 20070821
  • Main IPC: G06F15/18
  • IPC: G06F15/18
Method for reducing an amount of storage required for maintaining large-scale collection of multimedia data elements by unsupervised clustering of multimedia data elements
Abstract:
A method for reducing an amount of storage required for maintaining a large-scale collection of multimedia data elements by unsupervised clustering of multimedia data elements. The method comprises processing the multimedia data elements in the large-scale collection to generate a first cluster of multimedia data elements; storing the first cluster in a storage unit; repeating the generation of a new cluster from the first cluster and un-clustered multimedia elements in the large-scale collection until a single cluster is reached; and storing the new cluster generated at each iteration in the storage unit, wherein a N-th cluster generated at the N-th iteration is stored in the storage unit, wherein the amount of storage required to store the N-th cluster is less than an amount of storage of the large-scale collection, thereby the unsupervised clustering enables reducing the storage amount required to store the multimedia data elements in the large-scale collection.
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