Management and Optimization Methods of Music Audio-Visual Archives Resources Based on Big Data

Management and Optimization Methods of Music Audio-Visual Archives Resources Based on Big Data

Hongyu Liu, Chenxi Lu
Copyright: © 2023 |Pages: 15
DOI: 10.4018/IJACI.332866
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Abstract

Protecting Oroqen folk songs is not only the only way to reproduce Chinese traditional music culture, but also the only way to rebuild its national spirit and enhance national cultural confidence. In view of the modernity problems of Oroqen folk songs in the current process of inheritance and protection, this paper puts forward the management and optimization methods of music audio-visual archives resources under the background of big data. This paper analyzes and discusses the resource management path of folk music audio-visual archives in Oroqen in the era of big data and designs a set of perfect digital music audio-visual archives resource management platform, which can not only facilitate the collection, storage, management, and utilization of paper files and electronic files in archives, but also optimize the retrieval algorithm of archives. The resource allocation algorithm based on Nash equilibrium solution is used to optimize it. The simulation results show that the proposed method reduces the information resource allocation time and improves the demand satisfaction.
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Introduction

Oroqen folk songs area a reflection of Oroqen music culture, capturing its national spirit, cultural customs, and religious beliefs. In the era of big data, the preservation of Oroqen ethnic folk songs, however, face various challenges, including cultural decline, language loss, insufficient recordings and documentation, a shortage of professionals, cultural changes, and limited resources and support. These challenges highlight the value of existing Oroqen folk songs.

As the intangible heritage protection list grows, the Oroqen folk song database has accumulated a large amount of archival information resources. Thus, it has become difficult to identify, retrieve, and share information, requiring more effective information technology solutions. The greatest advantage of big data technology lies in its ability to quantify all data, following digital standards, and gradually innovating the preservation methods for audio-visual data. This promotes the management of data in the form of words, pictures, audio, and video (Deng, 2022).

By extending the approach to the management of audio-visual archive resources, we can conceptualize archives in the era of big data. Thus, all files (e.g., words, pictures, music, and videos) can use the new concept of digitization to play a greater role in preserving culture (Shoumy et al., 2020).

The modernization of archives management is a necessary measure for social and cultural advancement. Audio-visual archives management plays a pivotal role, presenting a focal point and challenge (Zhong, 2021). This article, in response to the practical problems in the management of audio-visual archives, summarizes the importance of the development of audio-visual archive management. It analyzes the optimized management measures through ideas, facilities, and technology.

Regarding the design of information resource management platforms for music’s intangible archives, the literature analyzes the requirements of blockchain technology in the design of information resource management platforms for music’s intangible archives. It proposes an information resource management platform design for music’s intangible archives based on blockchain technology (Adeel et al., 2020). Additionally, the literature explores the management path of music audio-visual archive resources in the era of big data, laying the foundation for the development of archive management (Cheng, 2022). It also analyzes the use of submodules through a general business overview and offers detailed descriptions (Pouyanfar et al., 2018).

In addition, the nonfunctional requirements of music education and teaching management systems in higher education are analyzed (Wang et al., 2020). The literature implements music-related recommendations, collected by experts or through expert feedback (Kang & Ampornstira, 2020). This highly credible approach can ensure seamless song transitions, effectively improving recommendations and accuracy.

The literature proposes using social media data to improve the accuracy of music recommendation algorithms, such as user relationships withing music social platforms (Ma, 2017). It also introduces the mixed mode technology (B/S and C/S), based on a multilayer technology. Net architecture, an online educational administration system suitable for colleges and universities, utilizes a combination of the university educational administration process and computer technology. Thus, it meets the information and technological needs of the educational administration (Tang et al., 2022).

In view of the prominent contradictions of court archives management, the literature promotes JAVA language development combined with B/S and C/S dual architecture technology. This approach realizes the sharing of information platforms and improves archive utilization efficiency (Phan et al., 2022).

The inheritance and preservation of any culture is linked to its people. This is profound to the Oroqen people. Their folk songs are passed down by word of mouth, making the role of the inheritors even more vital (Schmarzo, 2013). However, a strong sense of depression is evident when looking at the situation of Oroqen folk song inheritors. The emergence of new storage technology and audio-visual repair techniques holds significant practical importance for the preservation and recovery of archives.

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