A Cross-media Retrieval Method Based on Locality Sensitive Hash Algorithm and Neural Network
A local sensitive hashing and neural network technology, applied in the field of cross-media retrieval, can solve the problem of cross-media retrieval methods ignoring document set optimization processing, etc., and achieve the effect of efficient retrieval tasks
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[0051] The present invention is described in detail in conjunction with accompanying drawing of description now.
[0052] A specific embodiment of the present invention provides a cross-media retrieval method (Fast Cross-Media Retrieval, FCMR) based on a local sensitive hash algorithm and a neural network. The cross-media retrieval method mainly includes the following steps:
[0053] 1) set up FCMR (Fast Cross-Media Retrieval, FCMR) model, the training process of described FCMR model comprises local sensitive hash stage and hash function learning stage;
[0054] 2) Map all texts and images to the Hamming space by using the local sensitive hash function and the hash function learned by the neural network to establish an index;
[0055] 3) Perform cross-media retrieval query, including text query and image query.
[0056] Among them, in order to make the symbol and algorithm expression more concise, the following two modalities, text and image, are used to describe the proposed...
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