Method and device for recognizing picture by combining text and picture

A picture recognition and picture technology, which is applied in the computer field, can solve the problems of large DNN models and massive data, and achieve the effects of improved accuracy, strong recognition ability, and easy utilization
CN107862239AInactive Publication Date: 2018-03-30广州唯品会研究院有限公司
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
广州唯品会研究院有限公司
Publication Date
2018-03-30
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a method and device for recognizing a picture by combining a text and the picture, belonging to the technical field of computers. The method comprises a step of acquiring a first tag in text information, a step of identifying and acquiring a second tag indicated by a plurality of picture elements contained in the picture, and a step of outputting a recognition result according to the first tag and the second tag. The extraction is carried out by combining related text information and image information of the picture, corresponding tags are added to a tag library, training data of the tag library is increased, a neural network recognition model with stronger recognition ability is obtained, a basis is provided for enriching knowledge maps of people or goods, commodities and the like in a laster stage, a new object is identified on the above basis, finally, the accuracy of recognition is greatly improved, and the method and the device can be well utilized in the field of network search engines or commodity shopping platforms.
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Description

technical field

[0001] The invention relates to the field of computer technology, in particular to a method and device for recognizing pictures by combining text and pictures. Background technique

[0002] The existing image recognition-based scheme mainly uses a large number of marked pictures as a training set, and then learns an image recognition model based on the training set, uses the learned model to identify and analyze newly published pictures, and recognizes the characters in the pictures , animals, objects and other information, and then map the identified information with content tags. Due to the rapid development of Deep Neural Network (DNN) in the field of image recognition, the accuracy of image recognition has been greatly improved, and image recognition has also been widely used in the industry. The deep learning model has greatly improved the accuracy of image recognition. At the same time, it also has a well-known problem. The DNN model is very large, and...

Claims

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