Han Dynasty Portrait Image Feature Extraction and Cloud Computing-supported Symbolic Interpretation: A New Approach to Cultural Heritage Digitalization

Abstract

The study introduces the Cloud Computing-based Cultural Heritage Digitization (CCBCHD) framework, a groundbreaking approach that utilizes advanced convolutional neural networks (CNNs) and transfer learning techniques for digitizing and analyzing Han Dynasty portraits. This innovative method addresses the challenges associated with extracting features and symbolically interpreting these culturally significant artworks. CNNs play a crucial role in the CCBCHD system, enabling the efficient extraction of complex features and patterns inherent in the Han Dynasty portraits. These features are essential for understanding the historical and cultural context of the artworks. The integration of transfer learning is another pivotal aspect of this framework. It allows the model to leverage pre-existing knowledge from extensive image datasets, thereby enhancing the accuracy and efficiency of the system in recognizing and interpreting the unique characteristics of these portraits. Moreover, the incorporation of cloud computing within the CCBCHD framework provides scalable computational resources. This scalability is vital for handling extensive data processing and enables real-time analysis, a critical factor in the digitization process. The synergy of deep learning with cloud computing not only ensures precise feature extraction and interpretation but also plays a significant role in preserving and making cultural heritage accessible in the digital domain. This accessibility is particularly important for artworks like the Han Dynasty portraits, which hold immense historical and cultural value. In essence, the CCBCHD framework represents a significant advancement in the field of digital preservation of cultural artifacts. It offers a solution that is not only scalable and efficient but also intelligent, ensuring that the rich legacy of cultural heritage can be preserved and appreciated in the digital era. By adopting such technologies, the study underscores the potential of AI and cloud computing in transforming the ways we preserve, study, and interact with cultural heritage, opening new avenues for exploration and understanding in the realm of art history and conservation.