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    • 9. 发明申请
    • Robust recognizer of perceptually similar content
    • 知觉相似内容的强大识别器
    • US20050022004A1
    • 2005-01-27
    • US10893771
    • 2004-07-16
    • M. MihcakRamarathnam Venkatesan
    • M. MihcakRamarathnam Venkatesan
    • G06K9/00H04L9/00
    • G06K9/00
    • An implementation of a technology is described herein for recognizing the perceptual similarity of the content of digital goods. At least one implementation, described herein, introduces a new hashing technique. More particularly, this hashing technique produces hash values for digital goods that are proximally near each other, when the digital goods contain perceptually similar content. In other words, if the content of digital goods are perceptually similar, then their hash values are, likewise, similar. The hash values are proximally near each other. This is unlike conventional hashing techniques where the hash values of goods with perceptually similar content are far apart with high probability in some distance sense (e.g., Hamming). This abstract itself is not intended to limit the scope of this patent. The scope of the present invention is pointed out in the appending claims.
    • 本文描述了一种用于识别数字商品内容的感知相似性的技术的实现。 这里描述的至少一个实现引入了新的散列技术。 更具体地说,当数字商品包含感知上相似的内容时,这种散列技术产生近似彼此接近的数字商品的哈希值。 换句话说,如果数字商品的内容在感觉上是相似的,那么它们的散列值也是类似的。 哈希值在近处彼此靠近。 这与传统的散列技术不同,其中具有感知相似内容的商品的哈希值在某种距离方面(例如,汉明)具有很高的概率。 本摘要本身并不旨在限制本专利的范围。 在所附权利要求中指出了本发明的范围。