A Study of the Development and Promotion of Chinese Opera Movie in Rural Areas: An Investigation and Reflection on Hunan Rural Movie of Local Opera Project in China

Yang, Xiufeng; Wei, Zheng

doi:10.11114/ijecs.v3i1.4849

Cited by 3 publications

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“…The spread of Elbow Drumming was intertwined with economic development, particularly in areas such as Jiaozhou, which had become a significant port city and a crucial market for goods in eastern Shandong. This interplay influenced the local people's cultural and artistic expressions [7] . 2.4 "Two Xiaoxi and Three Xiaoxi" During the Shooting Drum performances, the emergence of "Two Xiaoxi" (comedy and female roles) and "Three Xiaoxi" (comedy, female, and male roles) signaled a departure from simplistic storytelling.…”

Section: Transition To Settled Lifementioning

confidence: 99%

Ethnomusicological Perspectives on Gaomi Miaoqiang: Unveiling the Cultural Tapestry

Tan

2024

PIJ

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This ethnomusicological study delves into the vibrant tapestry of Gaomi Miaoqiang, a traditional Chinese folk opera hailing from the Shandong province, exploring its historical evolution, linguistic intricacies, musical characteristics, and cultural implications. With a foundation rooted in the "肘鼓子" (Zhou Guzi) series of Shandong local operas, Gaomi Miaoqiang has evolved over centuries, blending folk singing styles and incorporating influences from Huagu yangge and Lüqin opera. Acknowledged as China's 67th National Intangible Cultural Heritage, Gaomi Miaoqiang represents a profound cultural legacy.The study scrutinizes the language features of Gaomi Miaoqiang, emphasizing simplicity, clarity, and the integration of local dialects, reflecting the rural life of the Gaomi community. Musical analysis unveils the operatic singing styles, instrumental accompaniment, and the evolution of musical composition. From the authentic tones of the "Original Board" to the intricate patterns of the "Dayoutou Board," Gaomi Miaoqiang's musical journey embodies emotional depth and narrative complexity. The study also explores the roles, makeup, costumes, and stage art, highlighting the art form's transition from grassroots performances to professional troupes. Furthermore, Gaomi Miaoqiang's cultural significance is illuminated, portraying its role as a conduit for spiritual solace and emotional release within local communities. Recognizing its enduring influence, the study advocates for the preservation of Gaomi Miaoqiang's distinctiveness amid urban influences. As Gaomi Miaoqiang navigates the intersection of tradition and modernity, it emerges as a cultural beacon, casting light on the rich legacy of Chinese folk opera and emphasizing the critical role of ethnomusicology in unraveling the intricate threads of cultural heritage.

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Section: Transition To Settled Lifementioning

confidence: 99%

Ethnomusicological Perspectives on Gaomi Miaoqiang: Unveiling the Cultural Tapestry

Tan

2024

PIJ

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“…By analyzing the characteristics of opera culture and modern culture and its disadvantages, we can find an ideal way to promote and publicize opera art [11]. Combining film art with traditional opera to develop a unique art form, namely, opera film, it takes rural areas as the central area, adheres to traditional culture, and finds a new channel to publicize and promote opera [12]. Some scholars have also pointed out that China's song art has distinctive characteristics.…”

Section: Related Workmentioning

confidence: 99%

Creation of Drama Art Based on Deep Learning and Evolution Strategy

Tang

2022

Scientific Programming

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The rapid development of information technology has promoted the growth of deep learning, artificial intelligence, and big data technology. Nowadays, the artistic form of traditional opera creation is accepted and respected by people—more and more people like the art form. However, the artistic creation of traditional opera needs inspiration. The essence of inspiration creation is to reconstruct its objective structure. The deep learning algorithm’s essence is to extract all of the attributes of sample self-learning input data and use them as inspiration for artistic production. First, this paper briefly introduces the deep learning and evolution strategy and uses these algorithms in opera art creation to construct 1 + λ. With the help of this evolutionary algorithm, an optimal solution is obtained through random evolution. The evolution strategy establishes the evolution function matrix. Starting from the situation of students learning opera art, this article examines the process of creating opera art using an in-depth learning and evolution technique. The results show that 96 percent of the students have contact with opera while watching an opera tour. During this, they were not interested in the performance of literary drama in traditional opera. However, it was noticed that they were deeply interested in martial arts, clown performances, and drama stage performances. Finally, the audience group of opera artistic creation is analyzed in the form of opera animation of “A Journey to the West: The Return of the Great Sage.” It signifies that the opera’s leading audience group is aged 25 to 29. However, they account for only 30 percent.

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Research on the Integration of Laban Movement Theory and Multimedia Technology to Promote the Cultural Inheritance of Chinese Opera

Zhang,

Yang

2024

Applied Mathematics and Nonlinear Sciences

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In the background of the new era, the rapid development of networking and digitization has played a certain role in promoting the dissemination and development of opera culture. First, we normalize the opera action data of the recorded opera performers. Then, based on Laban’s movement theories, we propose a parallel one-dimensional convolutional network and recurrent neural network model that adds a way for attention to splice, encode, and decode the time sequences in the opera action data. Next, we employ the full connection layer to generate a sequence of Laban opera action symbols, enabling the recognition of Laban opera actions. Ultimately, we integrate the model with virtual reality technology to establish a virtual opera learning system. The model tests show that the suggested Laban opera action recognition and automatic generation method works better than the rule-based and template-matching methods for the same period. There is a significant difference (P<0.05) between the experimental group that used the opera virtual learning system and the control group, which was made up of opera fans who learned the old-fashioned way. This was seen in the post-test of technical quality, which looked at posture and foot movements. This paper’s designed system can enhance the interest and impact of opera enthusiasts in learning opera culture while also offering a reference path for the transmission of opera culture and related fields.

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A Study of the Development and Promotion of Chinese Opera Movie in Rural Areas: An Investigation and Reflection on Hunan Rural Movie of Local Opera Project in China

Cited by 3 publications

References 0 publications

Ethnomusicological Perspectives on Gaomi Miaoqiang: Unveiling the Cultural Tapestry

Ethnomusicological Perspectives on Gaomi Miaoqiang: Unveiling the Cultural Tapestry

Creation of Drama Art Based on Deep Learning and Evolution Strategy

Research on the Integration of Laban Movement Theory and Multimedia Technology to Promote the Cultural Inheritance of Chinese Opera

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