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METHOD FOR ACQUIRING COMPACT GLOBAL FEATURE DESCRIPTOR OF IMAGE AND IMAGE RETRIEVAL METHOD

机译:获取图像的全局特征的紧凑描述方法和图像检索方法

摘要

Provided are a method for acquiring a compact global feature descriptor of an image and an image retrieval method. The method comprises: acquiring at least one local feature descriptor of an image, selecting one or more local feature descriptors from all the local feature descriptors, and performing dimension reduction on the selected local feature descriptor, so as to obtain the local feature descriptor after dimension reduction; according to a first rule, converting the local feature descriptor after dimension reduction into a global feature descriptor which is used for expressing a visual feature of the image; and performing data compression on the global feature descriptor, so as to obtain a compact global feature descriptor of the image, wherein the byte size of the global feature descriptor can change according to the change of a parameter value in the first rule. A global visual feature acquired by using the above-mentioned method is more compact and has scalability, thereby overcoming the defect in the prior art that a space in a mobile terminal with low memory is insufficient.
机译:提供了一种用于获取图像的紧凑全局特征描述符的方法和图像检索方法。该方法包括:获取图像的至少一个局部特征量;从所有局部特征量中选择一个或多个局部特征量;对选择的局部特征量进行降维,以得到尺寸后的局部特征量。减少;根据第一规则,将降维后的局部特征描述符转换为用于表达图像的视觉特征的全局特征描述符;对所述全局特征描述符进行数据压缩,以获得所述图像的紧凑的全局特征描述符,其中,所述全局特征描述符的字节大小可以根据第一规则中参数值的变化而变化。通过上述方法获得的全局视觉特征更加紧凑并且具有可扩展性,从而克服了现有技术中内存不足的移动终端空间不足的缺陷。

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