A Similarity Preserving Cross-modal Hash Retrieval Method
A similarity and cross-modal technology, applied in the field of similarity-preserving cross-modal hash retrieval, can solve the problems of insufficient reduction of redundant information in hash coding and insufficient similarity preservation, etc., and achieve strong identification and performance Enhanced effect
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[0034] A similarity-preserving cross-modal hash retrieval approach, assuming n objects The features in image modal and text modal are respectively with Among them, d 1 and d 2 denote the dimensions of image modality and text modality feature vectors, respectively, with Represent the characteristics of the i-th object in the image mode and text mode respectively; at the same time, it is assumed that the feature vectors of the image mode and text mode are preprocessed by zero centralization, that is, satisfy Assume that the label matrix formed by the category labels of n objects is L=[l 1 , l 2 ,...,l n ]∈{0,1} m×n , where l i (i=1,2,...,n) represents the category label information of the i-th object, m is the number of categories; assuming that the cross-modal similarity matrix is S, its element S ij Indicates the similarity between the i-th sample in the image modality and the j-th sample in the text modality; if the i-th sample in the image modality is simil...
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