Trend analysis in content identification based on fingerprinting
    3.
    发明授权
    Trend analysis in content identification based on fingerprinting 失效
    基于指纹识别的内容识别趋势分析

    公开(公告)号:US08635211B2

    公开(公告)日:2014-01-21

    申请号:US13376584

    申请日:2010-06-10

    IPC分类号: G06F7/00

    摘要: Fingerprint-based content identification is described. Bin-counting detects linear trends based on data points that are generated from a set of query fingerprints, which are extracted from a query content item and a matching set of corresponding reference content items that are extracted from a reference content item. RANSAC may detect trends based on confidence scores that are computed for multiple candidate content items. The trends detected for the candidate content items are compared against a threshold in order of decreasing confidence score until a trend that satisfies the threshold is found. A ranking-based mechanism for fingerprint-based content identification may use a bin-counting or RANSAC-based trend detection mechanism to identify duplicate or multiple reference content items that all match the same query content item.

    摘要翻译: 描述基于指纹的内容识别。 二进位计数基于从查询内容项提取的一组查询指纹和从参考内容项提取的对应参考内容项的匹配集合生成的数据点来检测线性趋势。 RANSAC可以基于针对多个候选内容项目计算的置信度分数来检测趋势。 将候选内容项目检测到的趋势与阈值进行比较,以降低可信度得分,直到找到满足阈值的趋势为止。 用于基于指纹的内容识别的基于排名的机制可以使用二进位计数或基于RANSAC的趋势检测机制来识别所有匹配相同查询内容项的重复或多个参考内容项。

    Trend Analysis in Content Identification Based on Fingerprinting
    4.
    发明申请
    Trend Analysis in Content Identification Based on Fingerprinting 失效
    基于指纹识别的内容识别趋势分析

    公开(公告)号:US20120078894A1

    公开(公告)日:2012-03-29

    申请号:US13376584

    申请日:2010-06-10

    IPC分类号: G06F17/30

    摘要: Fingerprint-based content identification is described. Bin-counting detects linear trends based on data points that are generated from a set of query fingerprints, which are extracted from a query content item and a matching set of corresponding reference content items that are extracted from a reference content item. RANSAC may detect trends based on confidence scores that are computed for multiple candidate content items. The trends detected for the candidate content items are compared against a threshold in order of decreasing confidence score until a trend that satisfies the threshold is found. A ranking-based mechanism for fingerprint-based content identification may use a bin-counting or RANSAC-based trend detection mechanism to identify duplicate or multiple reference content items that all match the same query content item.

    摘要翻译: 描述基于指纹的内容识别。 二进位计数基于从查询内容项提取的一组查询指纹和从参考内容项提取的对应参考内容项的匹配集合生成的数据点来检测线性趋势。 RANSAC可以基于针对多个候选内容项目计算的置信度分数来检测趋势。 将候选内容项目检测到的趋势与阈值进行比较,以降低可信度得分,直到找到满足阈值的趋势为止。 用于基于指纹的内容识别的基于排名的机制可以使用二进位计数或基于RANSAC的趋势检测机制来识别所有匹配相同查询内容项的重复或多个参考内容项。