Abstract

Exploring the humanistic connotation of Chinese landscape painting is an effective way to promote the innovative development of contemporary Chinese landscape painting. This paper starts from traditional Chinese philosophical thoughts and compares the differences with Marxist philosophical thoughts. BERT-wwm coding and GAF image coding are used to pre-process the text and image data of landscape painting, and a two-way mask attention mechanism is introduced to capture the emotional information of humanistic connotation in landscape painting, and then a BMAM multimodal emotion analysis model is constructed. Performance comparison experiments and humanistic connotation example analysis are conducted for the constructed BMAM model. From the performance comparison, the average accuracy of BMAM model is 4.99% and 12.42% higher than that of Geo-guided and DNN, respectively. From the humanistic connotation extraction results, the BMAM model only has a deviation of 1~2%. This indicates that the use of BMAM model can realize the analysis of humanistic connotation of Chinese landscape painting, and also provides data support for the innovative development of contemporary Chinese landscape painting.