Image retrieval method, electronic device, computer readable medium and computer program product

By using the first language encoding model and the image encoding model to map the first language information to the same semantic space and directly searching images in the target library, the problem of limited support for Chinese semantic search is solved, which improves the search accuracy and efficiency, and reduces the cost of model training.

CN120104826AActive Publication Date: 2025-06-06ZTE CORP
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Patent Information

Application Number
CN202510586248.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-08
Publication Date
2025-06-06
Estimated Expiration
2045-05-08

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Abstract

The invention provides an image retrieval method, which comprises the following steps of: inputting to-be-retrieved first language information into a pre-trained first language coding model, and extracting a first feature vector of the first language information, a first feature vector output by the first language coding model for the first language and a second feature vector output by the second language coding model for the second language are semantically aligned in the same semantic space; inputting the first feature vector into an image coding model, and querying from a target image library to obtain a first target image set corresponding to the first feature vector; the image coding model is obtained through training according to an image in a target database and a text of a second language corresponding to the image; the accuracy and efficiency of first language semantic image searching are improved, the number of involved models and model parameters are small, and the model training cost is reduced. The invention further provides electronic equipment, a computer readable medium and a computer program product.
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Citation Information

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