Emotion Recognition of Chinese Paintings at the Thirteenth National Exhibition of Fines Arts in China Based on Advanced Affective Computing

Abstract

Today, with the rapid development of economic level, people’s esthetic requirements are also rising, they have a deeper emotional understanding of art, and the voice of their traditional art and culture is becoming higher. The study expects to explore the performance of advanced affective computing in the recognition and analysis of emotional features of Chinese paintings at the 13th National Exhibition of Fines Arts. Aiming at the problem of “semantic gap” in the emotion recognition task of images such as traditional Chinese painting, the study selects the AlexNet algorithm based on convolutional neural network (CNN), and further improves the AlexNet algorithm. Meanwhile, the study adds chi square test to solve the problems of data redundancy and noise in various modes such as Chinese painting. Moreover, the study designs a multimodal emotion recognition model of Chinese painting based on improved AlexNet neural network and chi square test. Finally, the performance of the model is verified by simulation with Chinese painting in the 13th National Exhibition of Fines Arts as the data source. The proposed algorithm is compared with Long Short-Term Memory (LSTM), CNN, Recurrent Neural Network (RNN), AlexNet, and Deep Neural Network (DNN) algorithms from the training set and test set, respectively, The emotion recognition accuracy of the proposed algorithm reaches 92.23 and 97.11% in the training set and test set, respectively, the training time is stable at about 54.97 s, and the test time is stable at about 23.74 s. In addition, the analysis of the acceleration efficiency of each algorithm shows that the improved AlexNet algorithm is suitable for processing a large amount of brain image data, and the acceleration ratio is also higher than other algorithms. And the efficiency in the test set scenario is slightly better than that in the training set scenario. On the premise of ensuring the error, the multimodal emotion recognition model of Chinese painting can achieve high accuracy and obvious acceleration effect. More importantly, the emotion recognition and analysis effect of traditional Chinese painting is the best, which can provide an experimental basis for the digital understanding and management of emotion of quintessence.

[Retracted] Effective Strategies to Promote the Cultivation of Public Legal Consciousness from the Perspective of Social Psychology

“…Avoid the abuse of judicial power and unfair law enforcement. In a good democratic and legal environment, the public's legal awareness will be further improved, and they will believe more in democracy and the rule of law, as shown in Figure 11 [ 19 ].…”

Construction of Facial Expression Recognition Technology of Intelligent Service Robot Based on Nanofiber Flexible Wearable Electronic Skins

“…e partial categories acquired from separate practice episodes are then combined to form a definitive and powerful categorizer. e AdaBoost algorithm is used because the Haar-like features have high dimensionality and it is necessary to choose them with a particular method and incorporate them into a powerful categorizer to examine a human face [25].…”

Application of Digital Image Processing Technology in Textile and Garment Field

“…erefore, starting with computer digital image technology, the image processing, and measurement process technology based on the Labview platform is proposed. At the same time, combined with neural networks, support vector machines, deep learning, and other methods, it can better realize the recognition and classification of clothing images [3]. e system architecture is shown in Figure 1.…”