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An abstract image emotion recognition method

An emotion recognition and image technology, applied in the field of artificial intelligence, can solve problems such as negative transfer and affecting recognition accuracy.

Active Publication Date: 2018-12-25
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
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AI Technical Summary

Problems solved by technology

However, the sample distributions of large-scale natural image datasets and abstract image emotion recognition datasets are significantly different, and using abstract image emotion recognition datasets to simply fine-tune a deep network pre-trained on large-scale natural image datasets will lead to negative transfer. problems that affect the recognition accuracy

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Embodiment Construction

[0056] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0057] The invention provides an abstract image emotion recognition method for improving the accuracy of abstract image emotion recognition.

[0058] Such as figure 1 As shown, it is a preferred embodiment of the present invention. In this embodiment, the abstract image emotion recognition method specifically includes the following steps:

[0059] S1: Pre-training convolutional neural networks using natural image datasets;

[0060] S2: Use the pre-trained convolutional neural network to perform style feature extraction on the natural image emotion recognition data set and the abstract image emotion recognition data set, and calculate the relationship between each sample in the abstract image emotion...

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Abstract

The invention discloses an abstract image emotion recognition method, comprising the following steps: a convolution neural network is pre-trained by using a natural image data set; style features areextracted from the natural image emotion recognition data set and the abstract image emotion recognition data set, and the style differences between each sample in the abstract image emotion recognition data set and each sample in the natural image emotion recognition data set are calculated; a subset of a natural image emotion recognition data set most similar to a style characteristic of that abstract image emotion recognition data set is selected, and the natural image emotion recognition data set subset and the abstract image emotion recognition data set are used for two-layer migration and joint fine tune to obtain an abstract image emotion recognition model. Compared with the prior art, the invention improves the identification accuracy.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to an abstract image emotion recognition method. Background technique [0002] It is of great significance to automatically recognize the emotional semantics of paintings through computers: on the one hand, museums can not only effectively manage massive data, but also reduce the intervention of experts in the field, thereby saving manpower and material resources; on the other hand, users can quickly retrieve related paintings Works, and connect works with the same emotion, so as to facilitate the interpretation of the meaning of paintings. Different from traditional painting, abstract artists directly use visual elements such as color, shape and texture to express emotions in a "non-figurative" way: "The artist tries to express only the inner truth in his works, thus abandoning all considerations of external form". How to bridge the gap between low-level visual elements and ...

Claims

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Application Information

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IPC IPC(8): G06N3/04G06N3/08G06K9/62
CPCG06N3/08G06N3/045G06F18/217
Inventor 陈蕾杨子文
Owner NANJING UNIV OF POSTS & TELECOMM
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