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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 affecting the recognition accuracy and negative transfer, and achieve the effect of alleviating negative transfer and improving accuracy.

Active Publication Date: 2022-07-26
NANJING UNIV OF POSTS & TELECOMM
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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

Method used

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  • An Abstract Image Emotion Recognition Method
  • An Abstract Image Emotion Recognition Method
  • An Abstract Image Emotion Recognition Method

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Embodiment Construction

[0056] In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying 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] like 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 im...

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Abstract

The invention discloses an abstract image emotion recognition method, comprising the following steps: using a natural image data set to pre-train a convolutional neural network; The style difference between each sample in the image emotion recognition data set and each sample in the natural image emotion recognition data set; select the natural image emotion recognition data set subset that is most similar to the style characteristics of the abstract image emotion recognition data set, and use the natural image emotion recognition data set subset. The image emotion recognition dataset subset and the abstract image emotion recognition dataset are jointly fine-tuned by two-layer migration to obtain an abstract image emotion recognition model. Compared with the prior art, the present invention improves the recognition 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 identify the emotional semantics of paintings by computer: on the one hand, museums can not only effectively manage massive data, but also reduce the intervention of domain experts, thereby saving manpower and material resources; on the other hand, users can quickly retrieve related paintings It is easy to interpret the meaning of the painting by linking the works of the same emotion. Unlike traditional painting, abstract artists use visual elements such as color, shape and texture directly to express emotion in a "non-figurative" way: "The artist tries to express only inner truth in his work, and therefore abandons all consideration of outer form". How to bridge the gap between low-level visual elements and high-level emotional semantics has become a re...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/04G06N3/08G06K9/62G06V10/776G06V10/778G06V10/82
CPCG06N3/08G06N3/045G06F18/217
Inventor 陈蕾杨子文
Owner NANJING UNIV OF POSTS & TELECOMM
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