Design of Data Comparison System for Art Works Based on Intelligent Algorithms

As an important part of the cultural and artistic field, the artistic and research value of art works is self-evident. The Renaissance in the past liberated humanistic thought by studying the art works of ancient Greece and Rome, and even laid the ideological foundation for the subsequent Industrial Revolution. However, the classification of art works has always been a challenge, so this article would design a data comparison system to analyze the data of art works according to some standards, and classify and organize them to assist in the research of art works. This article first establishes three classification criteria: work style, image type, and form of expression to classify art works, which is also the basic classification logic of the system constructed in this article. This article then introduces the particle swarm intelligence algorithm to assist in system analysis, and establishes a series of formulas to analyze the computational logic of the particle swarm intelligence algorithm. Finally, this article utilizes optical flow guided features to extract and analyze features of art works, thus completing the design of an intelligent algorithm based art data comparison system. Through this system, users can quickly classify art works from the perspective of their work features, thereby improving the efficiency of work organization.