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    • 6. 发明申请
    • PROJECTION BASED HASHING THAT BALANCES ROBUSTNESS AND SENSITIVITY OF MEDIA FINGERPRINTS
    • 基于投影的平衡消除平衡媒体指纹的鲁棒性和灵敏度
    • US20110299721A1
    • 2011-12-08
    • US13115542
    • 2011-05-25
    • Junfeng HeRegunathan RadhakrishnanClaus Bauer
    • Junfeng HeRegunathan RadhakrishnanClaus Bauer
    • G06K9/00
    • G06K9/00744G06K9/6232
    • Multiple candidate feature components of media content or projection matrices (or other hash functions, e.g., non-linear projections) are identified. Each of the candidate projection matrices (or other hash functions) includes an array of coefficients that relate to the candidate features. A subgroup of the candidate features or the projection matrices (or other hash functions) are selected based at least partially on an optimized combination of at least two characteristics of the candidate features or projection matrices (or other hash functions). Media fingerprints that uniquely identify the media content are derived from the selected optimized subgroup. Optimal projection matrices (or other hash functions) may be designed. Performance or sensitivity (e.g., search time) characteristics of the fingerprints are thus balanced with robustness characteristics thereof.
    • 识别媒体内容或投影矩阵(或其他散列函数,例如非线性投影)的多个候选特征分量。 每个候选投影矩阵(或其他散列函数)包括与候选特征相关的系数阵列。 至少部分地基于候选特征或投影矩阵(或其他散列函数)的至少两个特征的优化组合来选择候选特征或投影矩阵(或其他散列函数)的子组。 唯一标识媒体内容的媒体指纹是从选定的优化子组派生出来的。 可以设计最佳投影矩阵(或其他散列函数)。 因此,指纹的性能或灵敏度(例如,搜索时间)特性与其鲁棒性特性相平衡。