Abstract The advent of nitrate film in the late 19th century marked a transformative moment in the history of cinema, ushering in a new era of visual storytelling and technological innovation. This research provides a comprehensive examination of the rise, reign, and eventual retirement of nitrate film as a pioneering cinematic medium. Through an extensive review of literature, archival materials, and historical analysis, the... The advent of nitrate film in the late 19th century marked a transformative moment in the history of cinema, ushering in a new era of visual storytelling and technological innovation. This research provides a comprehensive examination of the rise, reign, and eventual retirement of nitrate film as a pioneering cinematic medium. Through an extensive review of literature, archival materials, and historical analysis, the study traces the origins of nitrate film and its rapid diffusion as the industry standard, facilitated by its perceived advantages, compatibility, and observability. The findings underscore nitrate film’s profound impact on the artistic and cultural landscape of cinema, enabling ground-breaking storytelling techniques, cinematic expressions, and influential works that shaped the language and grammar of the art form. However, the inherent flammability of nitrate film posed significant challenges, necessitating adaptations in filmmaking practices, distribution models, and exhibition methods. As safer alternatives emerged, nitrate film’s retirement marked a transition that influenced the evolution of cinema in the latter half of the 20th century. The research also highlights the ongoing preservation efforts undertaken by archives, museums, and cultural institutions to safeguard and sustain the legacy of this transformative medium, underscoring its enduring significance and influence on modern cinema practices. By synthesizing technical, cultural, and historical narratives, this study contributes to a holistic understanding of the “Nitrate Era” and its lasting impact on the art and industry of cinema. Read More Read Less

Abstract Ceramic art development is one of the long-standing cultural histories in China. With cultural heritage and artistic appreciation, this field enhances people’s aesthetic qualities and opens the gateway to world cultural exchanges. In modern life, with the rapid development of technologies such as computers and big data, people have gained new insights and pursuits in ceramic art design innovation. Starting from the artistic... Ceramic art development is one of the long-standing cultural histories in China. With cultural heritage and artistic appreciation, this field enhances people’s aesthetic qualities and opens the gateway to world cultural exchanges. In modern life, with the rapid development of technologies such as computers and big data, people have gained new insights and pursuits in ceramic art design innovation. Starting from the artistic characteristics of ceramic products, the shift from two-dimensional pattern design to three-dimensional pattern design has led to a series of outstanding works through bold attempts. This paper focuses on the intelligent optimization of algorithms for three-dimensional pattern design in ceramic art with the support of computer 3D printing technology. First, the big data analysis method is used to explore the evolution process of ceramic art pattern design and propose innovative ideas based on three-dimensional pattern design features. Using 3D printing technology and 3DMAX software overcomes problems such as single design and high cost in ceramic art design, establishing a three-dimensional pattern design system. Virtual reality technology optimises the 3D modeling process, improving the algorithm’s intelligence, accuracy, and reliability. The research shows that the intelligent algorithm optimization for three-dimensional pattern design in ceramic art under 3D printing technology has improved productivity and contributed to the innovation of ceramic culture Read More Read Less

Abstract Object tracking is a hot topic in visual technology and is widely applied in scenarios such as intelligent monitoring, autonomous driving, and robot visual perception. In recent years, with the sports industry’s rapid development, tracking targets (balls and players) in complex sports scenes represented by basketball and football has attracted increasing attention. This paper focuses on tracking targets (balls as single targets and players... Object tracking is a hot topic in visual technology and is widely applied in scenarios such as intelligent monitoring, autonomous driving, and robot visual perception. In recent years, with the sports industry’s rapid development, tracking targets (balls and players) in complex sports scenes represented by basketball and football has attracted increasing attention. This paper focuses on tracking targets (balls as single targets and players as multiple targets) in competitive sports scenes like basketball and football. A small target detection network based on multi-scale features and a triangulation algorithm is employed to fuse the two-dimensional coordinates of the ball into three-dimensional coordinates. Additionally, a simplified motion model is proposed for the non-linear motion of the ball, and a Kalman filter is used to obtain accurate and smooth threedimensional tracking trajectories. The proposed method achieves 2D and 3D tracking accuracies of 0.81 and 0.92 on the basketball public dataset, respectively. Read More Read Less

Abstract Using a sliding window combined with heterogeneous multi-column convolutional neural networks, we found that this new evaluation tool has higher accuracy than traditional evaluation tools and can provide more comprehensive evaluation information. This new evaluation tool can effectively improve teaching efficiency and provide more comprehensive evaluations. Advanced computer vision analysis technology can quickly collect and process valuable classroom information and convey it to teachers... Using a sliding window combined with heterogeneous multi-column convolutional neural networks, we found that this new evaluation tool has higher accuracy than traditional evaluation tools and can provide more comprehensive evaluation information. This new evaluation tool can effectively improve teaching efficiency and provide more comprehensive evaluations. Advanced computer vision analysis technology can quickly collect and process valuable classroom information and convey it to teachers and peers in real-time, effectively motivating their participation and promoting their learning, ultimately achieving the best educational outcomes. Read More Read Less