Abstract
【Objective】The application of broadcast television technology in the digital dissemination of cultural heritage sites and artifacts is gradually becoming a vital tool for cultural heritage preservation and transmission.【Method】By systematically leveraging existing data assets in the cultural sector, and conducting mining, analysis, and processing, a collection of high-quality, thematically diverse, and finely crafted digital cultural tourism resources is created. Through the application of new technologies such as AI large models, intelligent voice interaction, and digital scene interaction, sustainable, scalable, secure, and reliable digital cultural AI interactive applications for cable television terminals are produced.【Results/Conclusion】This paper, taking digital cultural interactive applications as a case study, systematically describes the key technologies, television terminal application presentation, advantages, and current challenges of broadcast television technology in the digitization of material cultural heritage.
Full Text
A Preliminary Study on the Application of Broadcasting and Television Technology in the Digital Dissemination of Material Cultural Heritage
Zhu Xiaoyu¹, Wang Yongde¹, Weng Junhua¹, Ning Yongqiang²
¹. China Cable Television Network Co., Ltd. Hainan Branch, Haikou, Hainan 570100;
². Weijing Tianxia (Beijing) Technology Co., Ltd., Beijing 100089
Abstract
[Purpose] The application of broadcasting and television technology in the digital dissemination of cultural sites and artifacts is gradually becoming an important tool for cultural heritage protection and inheritance. [Method] By coordinating and utilizing established data resources in the cultural sector, we excavate, analyze, and process them to create a batch of high-quality, diverse, and well-produced digital cultural tourism resources. Through the application of new technologies such as AI large models, intelligent voice interaction, and digital scene interaction, we produce sustainable, scalable, and secure AI interactive applications for digital culture on cable television terminals. [Results/Conclusion] This paper systematically describes the key technologies, television-side application presentation, advantages, and existing challenges of broadcasting and television technology in the digitalization of material cultural heritage, using digital cultural interaction applications as a case study.
Keywords: Broadcasting and Television Technology; Cultural Heritage Dissemination; Application of AI Large Models; Intelligent Voice Interaction; Digital Scene Interaction
Introduction
Material cultural heritage constitutes an essential component of China's outstanding traditional culture, carrying the historical memory and cultural genes of the Chinese nation. With the rapid development of digital technology, broadcasting and television technology is playing an increasingly important role in the digital dissemination of material cultural heritage. In recent years, the state has attached great importance to the protection and inheritance of material cultural heritage, issuing a series of policy documents that emphasize intensifying dissemination efforts and encouraging new media platforms to undertake related communication work. Guided by these policies, broadcasting and television, as traditional media, have actively employed digital means to record, disseminate, and promote material cultural heritage. This study leverages the powerful network infrastructure of the national broadcasting and television backbone network and the cable TV network interconnection platform, combined with advanced digital technologies such as large models, artificial intelligence, and 3D visualization, to collect, store, and enable online-offline interaction of digital resources related to Chinese culture and tourism, including images, text, panoramas, and 3D models. Based on television-side display, users can access and watch digital cultural interaction applications anytime and participate in interactive experiences, enjoying personalized recommendations of cultural content from cultural agents, engaging in intelligent Q&A with cultural agents, and conveniently obtaining in-depth knowledge about cultural and tourism resources across the country.
1. Key Technologies in Broadcasting and Television for Digital Cultural Interaction Applications
Advanced digital technologies such as large models, intelligent voice, and 3D visualization are profoundly transforming the world. Large models, as critical milestones in AI development, refer to deep learning models with parameter scales exceeding hundreds of millions or even hundreds of billions, such as GPT and BERT. Their characteristics are remarkable: they possess high capacity to capture complex patterns and distributions; they offer versatility to support multi-tasking and multimodal learning; they also feature scalability, enabling them to complete specific tasks with minimal samples or unsupervised fine-tuning based on pre-training.
1.1 Large Model Capability Foundation
The large model capability foundation is the basic architecture and technical system that supports the operation, development, and application of large models. It provides comprehensive support for computing, storage, data processing, and algorithm optimization, encompassing capabilities in language understanding, text generation, knowledge Q&A, multimodal interaction, logical reasoning, mathematical ability, and code capability. This includes intelligent computing servers and full lifecycle tools supporting large models from training to publishing and integration into applications. These tools cover core functions such as model training, model fine-tuning, dataset management, model management, API management, and online testing to meet the needs of large model development, deployment, and application in different scenarios.
In the broadcasting and television field, the large model capability foundation's powerful data processing ability can handle massive amounts of data transmitted through cable television, including video and audio streams, enabling efficient parsing and processing of these complex and diverse streams simultaneously. It can accurately identify every frame in videos and analyze every note in audio, ensuring no critical information is missed during high-speed data transmission, thus laying a solid foundation for subsequent content analysis and processing. User behavior data is equally an indispensable source of important data in the cable television field. Through in-depth insights into user behavior, broadcasting and television operators can better understand user preferences, viewing habits, and consumption patterns. The large model capability foundation can collect and integrate user behavior data from various channels, including operation records on television terminals such as channel switching, program searching, pause and fast-forward, as well as interactive behaviors on related applications like program reservations, comments, shares, and favorites. It aggregates and cleans these scattered data, transforming them into structured information for in-depth analysis. For instance, by analyzing information such as frequently watched program types, viewing time distributions, and device preferences, operators can precisely grasp user needs and provide more personalized services.
The large model capability foundation also possesses efficient model inference speed capabilities. In the broadcasting and television field, users have extremely high requirements for service response speed, expecting instant feedback whether switching channels, searching for programs, or engaging in voice interaction. With its powerful model inference speed, the large model capability foundation can quickly respond to various user requests. When a user presses a button on the TV remote control or issues a command through a voice assistant, the large model capability foundation can parse and process the request in a very short time. It rapidly retrieves information matching user needs from the vast program database or quickly generates personalized program recommendation lists based on user history and preferences. When users search for programs, the large model capability foundation can perform semantic understanding and analysis of input keywords within milliseconds, then conduct precise matching in the massive program library and swiftly return relevant program information to users. This rapid response speed not only enhances user viewing experience but also improves user satisfaction and loyalty with broadcasting and television services. For some real-time application scenarios, such as interactive segments in live programs, the large model capability foundation's fast inference speed is even more critical. It can timely process user-sent bullet comments, reviews, and other information and quickly display them in the live broadcast screen, achieving instant interaction between audiences and hosts and creating a more active live atmosphere.
1.2 Intelligent Voice Technology
Intelligent voice technology is a highly comprehensive technology that integrates knowledge from computer science, linguistics, psychology, and artificial intelligence. Its core objective is to endow computers with the ability to understand and process human speech, thereby achieving natural voice interaction between humans and machines. Through intelligent voice technology, computers are no longer limited to receiving and executing simple commands but can communicate with humans more fluently and naturally through speech recognition, speech synthesis, and natural language processing.
Combining AI voice capabilities, large model capabilities, and virtual digital human capabilities, we have developed a large model-driven visual voice assistant centered on family business development needs. Integrated with voice control, it enables voice remote control and other television entry points, creating seamless voice control connectivity with large screens. Based on the large model's understanding of broadcast media assets, it enables natural language-based TV program searching. By integrating broadcast media assets and operational data, it adds dimensions to customer operations. The system provides functions such as voice interaction, sensitive word filtering, voice usage guidance, voice service authentication, live broadcast management, replay management, multi-domain content search, application operations, voice life mini-applications, and operational support services.
Smart broadcasting and television voice provides new scenario services such as family encyclopedia consultation, story co-creation, video assistant, and emotional chat companionship. Users can directly complete operations such as channel switching, program searching, and volume adjustment through voice commands without complex menu navigation, greatly simplifying operation processes and enhancing user experience. The intelligent voice interaction system based on large language models can more deeply understand user needs and create more convenient and pleasant user experiences through intelligent, personalized, and contextual interaction design. The smart broadcasting and television voice assistant also possesses efficient speech recognition capabilities, provides voice usage guidance, can accurately identify user voice commands and respond quickly, supports natural language interaction, and can filter sensitive words, enabling users to communicate with televisions using everyday language and improving user experience.
Smart broadcasting and television voice can recommend film, television, drama, and variety content that matches user interests based on their viewing history and preferences. Simultaneously, it supports multi-domain voice search functions—users only need to speak keywords to quickly find desired programs or films, and it can also provide life services such as weather checks, holiday checks, stock checks, and schedule reminders. Smart broadcasting and television voice can also provide various encyclopedia information and application services, covering life common sense, health and wellness, home maintenance, cooking skills, travel suggestions, and other fields, offering personalized and贴身 information query services. For complex or difficult-to-understand concepts, the system should provide detailed explanations and examples to help users better understand.
1.3 3D Visualization
3D visualization is a technology that converts 3D data into intuitive visual images. Based on computer graphics principles, it creates 3D geometric models of objects through 3D modeling software or measurement data, defining their shape, size, position, and posture information. According to lighting models and material properties, it calculates the color and brightness of each pixel on the model surface to generate realistic visual effects, transforming originally abstract 3D data into graphical images that people can intuitively understand. Users interact with 3D scenes through devices such as mice, keyboards, and touchscreens, such as rotating, panning, and scaling objects, changing viewing angles to observe 3D models of cultural artifacts, and displaying 360° panoramas of cultural and tourism-related venues like museums and scenic spots.
2. Core Scenarios and Cases of Digital Cultural Interaction Applications
Leveraging the latest big data, intelligent voice, 3D visualization, and other advanced technologies, we have optimized and upgraded the original national cultural big data platform. By constructing a high-performance data processing and analysis capability foundation and an intelligent application service system, we achieve rapid transmission, efficient processing, and intelligent application of cultural data, providing comprehensive technical support for the digital transformation of the cultural industry. Digital cultural interaction applications have carried out application demonstrations in provincial broadcasting and television networks, verifying the feasibility and practicality of the platform through practice and laying a solid foundation for future digital applications of material cultural heritage.
Digital cultural interaction applications collect diverse cultural data reflecting Chinese culture and tourism, covering 3D models, real scenes, images, sounds, videos, text, and other data types. Through multi-source data visualization fusion methods combined with artificial intelligence, large models, and other technical means, we reproduce television-side digital cultural content and achieve the dissemination of digital Chinese cultural content. Based on television-side display, users can access and watch digital cultural applications anytime and participate in interactive experiences, enjoying personalized recommendations of cultural content from cultural agents, engaging in intelligent Q&A with cultural agents, and conveniently obtaining in-depth knowledge about cultural and tourism resources across the country.
2.1 System Architecture
The digital cultural interaction application system adopts a layered architecture. Following the processes of data content production, operation management, and application, we develop technical modules from bottom to top. The system construction uses container development and deployment, supporting elastic scaling and high availability architecture. System functions adopt a microservices architecture, with each functional module implemented according to standard interfaces and high cohesion principles, ensuring the system can provide unified standard external services while meeting distributed deployment and fine-grained functional requirements. During system implementation, we strictly follow standard architectural specifications to ensure high compatibility with related system interfaces and meet distributed deployment and fine-grained functional requirements. The system architecture design strictly complies with relevant security systems and technical standards, implementing overall system construction from bottom to top according to a five-layer structure: infrastructure layer, resource layer, support layer, application layer, and presentation layer [4]. The system architecture is shown in Figure 1 [FIGURE:1].
2.1.1 Infrastructure Layer
This layer serves as the system's foundational environment. The entire system is built on the China Cable Cloud basic platform, providing essential network infrastructure and transmission channels required for various applications' data communication, display, and application.
2.1.2 Content Resource Layer
The resource layer supports the core data needs of various system applications, accelerating the realization, standardization, and interconnectivity of various applications.
2.1.3 Business Support Layer
The support layer provides business support capabilities for various functions of the application layer, including access statistics support, resource management support, content production support, operation management support, and other basic support systems, as well as a highly extensible standardized data connection middleware layer.
2.1.4 Business Application Layer
The application layer implements business applications such as digital interactive content display services and cultural agent interaction.
2.1.5 Presentation Layer
This layer implements the system's application display capabilities, providing human-computer interaction functions between users and the system. The system supports television-side display, meeting the general application needs of cable television user groups.
2.2 Digital Cultural Content Operations
Digital cultural content operations include content planning, creation, publishing, data analysis, and user interaction. Through diverse content and immersive interactive experiences, we enhance the interest of television-side content and increase user participation and stickiness.
2.2.1 Cultural Content Planning
Combining different seasons, special holidays, cultural tourism hotspot events, and representative cultural and tourism-related content, we plan 25 issues of digital cultural content themes and their display forms annually at a frequency of 2 issues per month plus 1 special Spring Festival issue. Each themed issue has an average browsing duration of 20-30 minutes and an average data volume of 6-8 content items. Through these themed issues, we not only enhance the interest of television-side content but also drive active user participation and stickiness.
2.2.2 Cultural Content Themes
Cultural content theme types include cultural tourism guides, digital cities, digital exhibitions, digital artifacts, traditional villages, intangible cultural heritage, special features, and cultural audio/video. We select the 25 most representative items from these categories to form the annual digital cultural content operation system.
(1) Cultural Tourism Guides: This type provides detailed travel guides, virtual cloud tours, route introductions, and scenic spot descriptions. This content allows users to appreciate beautiful scenery while providing practical travel information and services, enhancing user experience and utility.
(2) Digital Cities: This type presents city landmarks through aerial photography, cultural tourism features, urban architecture, cultural districts, and natural landscapes, allowing users to cloud-tour major Chinese cities without leaving home.
(3) Digital Exhibitions: This type leads users on cloud tours of premium exhibitions in major national museums, art galleries, and art museums through virtual exhibition halls and online exhibitions. Users can enjoy the charm of cultural and artistic treasures from across the country from home.
(4) Digital Artifacts: This type includes cultural relics, cultural monuments, and historical buildings. Through 3D scanning and high-definition imaging technology, we completely present the appearance and details of artifacts, allowing users to observe every detail and understand production techniques and historical backgrounds through television [5].
(5) Traditional Villages: This type immersively displays the natural scenery, architectural styles, and cultural characteristics of traditional villages. Through village aerial photography, protected buildings, and cultural heritage, it leads users to deeply understand Chinese rural culture, intangible cultural heritage characteristics, folk customs, local specialties, and ethnic costume culture. Users can experience the tranquility and beauty of traditional villages through television, understanding local folk activities and handicraft production processes. The traditional villages section showcases China's rich and colorful rural culture, evoking users' yearning for rural life and identification with traditional culture.
(6) Intangible Cultural Heritage: This type introduces the historical origins, inheritance status, and technical characteristics of intangible cultural heritage projects to raise user awareness and protection consciousness. Content includes oral traditions, traditional performing arts, folk activities, festival rituals, and traditional handicrafts. Each intangible cultural heritage project is presented through detailed video introductions and live demonstrations, allowing users to get up close and understand intangible cultural heritage techniques.
(7) Special Features: This type showcases special cultural themes such as Great Wall culture, red culture, and stage art culture. Each theme deeply explores cultural connotations through various forms such as text, video, and interactive displays, comprehensively presenting the historical background and current status of cultural themes. Users can deeply understand the unique charm and important value of these cultural themes through television, enhancing cultural confidence and national pride.
(8) Cultural Audio/Video: This type gathers rich cultural films, music, and courses. Users can appreciate classic cultural film and television works, listen to beautiful traditional music, and even learn cultural knowledge through television screens.
2.2.3 Content Display Forms
Cultural content has diverse presentation forms on the digital cultural content operation platform, including cultural images with text and audio/video, 360° panoramic displays, and 3D data displays. To ensure optimal user experience, the platform employs high-performance media players and advanced 3D rendering engines to ensure smooth display of images, audio, video, and 3D models.
(1) Image Display: Displays high-definition images supporting zoom and swipe browsing. On one hand, users can appreciate the delicate details of artifacts or scenic spots up close; on the other hand, it provides users with an interactive learning and exploration platform.
(2) Text-Image Information Display: Displays detailed related text and image information. Users can comprehensively understand the connotation and value of each cultural heritage through detailed display of names, ages, historical backgrounds, and other key information.
(3) Audio Playback: The digital cultural content operation platform brings users more vivid and rich exhibition experiences through audio playback functions. Users can listen to expert explanations, background music, or sound effects to further understand the stories and history behind exhibits or scenic spots.
(4) Video Playback: Video playback is one of the important ways for the digital cultural content operation platform to display theme-related content. By playing documentaries, short videos, and other forms, users can comprehensively understand culture-related content both visually and auditorily.
(5) 360° Panoramic Display: The 360° panoramic display function provides users with an immersive visiting experience. Through this function, users can explore the environment and details of artifacts or scenic spots immersively, as if they were visiting in person.
(6) 3D Model Display: Through high-performance 3D rendering engines, the digital cultural content operation platform displays 3D models of related artifacts or scenic spots. Users can freely rotate and scale models to deeply explore their spatial structures and artistic designs.
(7) Comprehensive Display: Organically combines multiple content forms such as images, audio, video, 360° panoramas, and 3D models to comprehensively display cultural content themes. Users can obtain richer and more comprehensive cultural experiences through this diversified display method.
2.2.4 Content Creation
Content creation is the core link in content operations, attracting users, delivering value, and achieving goals through high-quality content. The creation process mainly includes material collection, visual design, and content display production. Material collection involves collecting and organizing theme-related materials through various channels. Visual design adds visual effects to content using various design tools and technologies to enhance user experience and content appeal. Content production involves creating content products from scratch through text, images, audio, video, and other forms that are attractive, information-rich, and effective in conveying information or emotions.
(1) Material Collection: Digital cultural materials come from a wide range of sources, including historical documents, academic papers, news reports, photographic works, audio archives, video clips, panoramic 3D resource libraries, etc. To ensure material diversity and authenticity, we cooperate with professional organizations such as museums, libraries, archives, and academic institutions to obtain authoritative materials. Through detailed screening and organization, materials are classified and archived to provide a solid foundation for subsequent creative work. High-quality, diverse materials can not only enhance content professionalism and credibility but also provide rich creative inspiration and ideas for subsequent creation.
(2) Visual Design: We use various design tools and technologies to add visual effects to the presentation of cultural content, enhancing user experience and content appeal. During the design process, we create artistic and attractive color schemes, layouts, and graphic designs based on the characteristics of different content themes. To ensure high-quality design works, we reference design trends and user preferences, and through multiple revisions and improvements, ultimately present the best results. Visual design focuses not only on aesthetics but also on the information communication function of visuals, enabling users to intuitively understand the core information of cultural content. Through clever design, we enhance the overall appeal and user experience of content, strengthening users' interest in and stickiness to content.
(3) Content Production: Content production refers to the process of combining collected materials, thoughtful creative concepts, and clear target audience needs to create attractive, information-rich content products that effectively convey information or emotions through text, images, audio, video, and other forms. For content themes with insufficient existing resources, we conduct certain content creation, such as high-definition photography, panoramic data shooting, and 3D data modeling, to ensure the completeness of theme display content.
2.3 Digital Cultural Interactive Display
Digital cultural interaction applications gather and integrate digital resources related to culture and tourism, displaying them diversely according to different content themes. Simultaneously, they provide cultural agents that use artificial intelligence and speech recognition technology to integrate large model capabilities, enabling more intelligent understanding and processing of complex questions raised by users, and providing more personalized answers based on user intent and context. This allows users to more conveniently obtain and deeply understand cultural and tourism resources across the country.
2.3.1 Cultural Theme Display
The cultural theme display section mainly includes homepage comprehensive display, theme display, past issues review, and theme categories.
Homepage Comprehensive Display: The digital cultural interaction application homepage displays content including intelligent agent interaction modules, theme categories, homepage featured content, past issues review, content search bars, etc., providing services to users through flexible display modules.
Theme Display: We regularly launch rich and colorful themed content aimed at bringing users diverse digital cultural content. After each carefully planned theme is launched, users can explore the latest cultural content with a simple click, covering cultural tourism guides, digital cities, digital exhibitions, digital artifacts, traditional villages, intangible cultural heritage, special features, cultural audio/video, and other fields.
Theme Categories: On the application homepage and in each theme category, users can open theme display content by clicking theme cards. Theme cards are displayed in a waterfall flow format in each category. Theme display provides multiple content types including images, text, audio, video, 360° panoramas, and 3D data, using high-performance media players and 3D rendering engines to ensure smooth display of images, audio, video, and 3D models (Figure 2 [FIGURE:2]).
Past Issues Review: By clicking the past issues review module, users can view previously launched themed content. Past themed content covers exciting content from multiple cultural themes, allowing users to gain new knowledge in review and feel the accumulation of time and wisdom. The past issues review page content is divided into two modules: user history viewing record module and past issues module. The user history viewing record module displays recently watched themed content in reverse chronological order; the past issues module displays recently updated themed content in reverse chronological order (Figure 3 [FIGURE:3]).
2.3.2 Application Interaction
Digital cultural interaction applications mainly provide two interaction methods: artificial intelligence (AI) voice interaction and remote control interaction.
(1) Artificial Intelligence (AI) Voice Interaction: Integrating AI voice dialogue capabilities, users can conduct dialogue interaction with cultural agents provided in the application. Cultural agents can provide functions such as theme recommendations, theme searches, detailed cultural content explanations, and knowledge Q&A. Users can also conduct content searches, theme switching, or media playback through voice commands, greatly simplifying operation processes and improving efficiency.
- Dialogue Interaction: Supports users clicking on cultural agents to conduct dialogue interaction with them, with dialogue content displayed in speech-to-text form in the dialogue box.
- Theme Recommendation: Cultural agents can provide personalized recommendations of cultural theme content based on user history browsing records and other data.
- Theme Search: Users can command cultural agents to search for theme content through voice instructions, with search results presented in card form in the dialogue box.
- Knowledge Q&A: Users can ask questions to cultural agents through voice instructions and conduct knowledge Q&A with them.
- Application Operation: Users can command cultural agents to perform application operations through voice instructions, including theme switching display, theme video content, panoramic content playback, volume adjustment, etc. (Figure 4 [FIGURE:4]).
(2) Remote Control Interaction: Supports users in conducting basic operations through remote control buttons, including opening applications, selecting theme content, viewing theme content, and adjusting background music volume through up/down/left/right buttons and confirm/volume buttons.
Application Operation: Supports users in viewing special display content within the application through remote control buttons, including panoramic drag viewing, 3D model rotation viewing, zoom in/out viewing, etc., helping with user display through operations.
3. Application Advantages and Existing Challenges
Broadcasting and television technology has multiple advantages in the digitalization of material cultural heritage:
3.1 Advantages
3.1.1 Collection and Recording
Broadcasting and television's high-definition camera technology can capture the details of material cultural heritage. Whether it's the carvings of ancient buildings, the color textures of murals, or the subtle features of artifacts, they can all be clearly recorded, providing high-quality image materials for subsequent digital processing and display. In addition to visual information, broadcasting and television technology can also collect audio information, such as the sound of ancient buildings in the wind, traditional music related to artifacts, or story explanations, enriching the content dimensions of material cultural heritage digitalization and making people's perception of cultural heritage more comprehensive.
3.1.2 Mass Data Storage
The construction of the large model capability foundation, utilizing new technologies such as cloud computing, big data analysis, and large models, achieves centralized storage, management, and analysis of data such as cultural heritage and artworks, improving data availability and value. It enables intelligent analysis and application of cultural data, supports data sharing and collaboration, promotes data aggregation and cross-application across various fields, and provides strong support for cultural innovation and diversified services.
3.1.3 Secure and Wide-Area Transmission
The national broadcasting and television backbone network, as a national cultural dedicated network, ensures the security of national cultural data and prevents cultural genetic data from being stolen or leaked. After years of construction, the broadcasting and television network has covered urban and rural areas, including some remote regions. This enables the national cultural dedicated network to disseminate cultural resources to broader areas, allowing more people to enjoy the achievements of cultural digitalization. Simultaneously, the broadcasting and television backbone network possesses high-bandwidth, low-latency transmission capabilities, ensuring high-definition, smooth transmission of cultural digitalization content and providing users with high-quality audio-visual experiences.
3.2 Challenges
3.2.1 Technical Level
Lack of Unified Technical Standards: Currently, the application of broadcasting and television technology in material cultural heritage digitalization still lacks unified technical standards and specifications. Different regions and institutions may adopt different technical means and formats in digitalization work, resulting in poor data compatibility and interoperability, which is not conducive to the integration and sharing of cultural heritage digitalization resources.
3.2.2 Protection and Inheritance Level
(1) Risk of Information Distortion: In the process of digital collection, processing, and dissemination, technical limitations or human factors may lead to distortion of material cultural heritage information. For example, inaccurate color reproduction in images or loss of artifact details can affect people's understanding and recognition of the true appearance of cultural heritage.
(2) Insufficient Cultural Connotation Excavation: The application of broadcasting and television technology in material cultural heritage digitalization often focuses more on formal display while insufficiently excavating and interpreting the connotations of cultural heritage. If cultural heritage is simply digitally presented without in-depth explanation of its historical, cultural, and artistic values behind it, it will be difficult for audiences to truly understand and feel the charm of cultural heritage.
3.2.3 Personnel and Funding Level
(1) Shortage of Professional Talents: Material cultural heritage digitalization requires interdisciplinary talents who understand both broadcasting and television technology and cultural heritage protection knowledge. However, such professional talents are currently relatively scarce, limiting the in-depth application and development of broadcasting and television technology in the field of cultural heritage digitalization.
(2) Limited Funding: Carrying out material cultural heritage digitalization work requires substantial capital investment, including equipment procurement, technology research and development, personnel training, and data maintenance. For some economically underdeveloped regions or small cultural institutions, funding shortage is an important factor restricting their digitalization construction.
Conclusion
With the rapid development of science and technology, using digital means to innovate manifestation forms and enrich digital content, and building new cultural business forms characterized mainly by cultural experience and application, will gradually transform cable television from traditionally transmitting broadcasting and television programs to deeply expanding and connecting the entire publicity and cultural field, thereby promoting innovative development of the cultural tourism industry. Simultaneously, the application based on the large model capability foundation will become an inevitable trend for the future development of broadcasting and television [6]. Under the support of the large model capability foundation, various applications interconnect in the broadcasting and television backbone network with the highest security level, making the development of broadcasting and television digital cultural interaction applications more convenient. The broadcasting and television network also becomes more enriched and comprehensive due to the construction of various digital cultural interaction applications, playing an important role in the implementation of the national cultural digitalization strategy.
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Author Biographies
Zhu Xiaoyu (1982—), female, from Haikou, Hainan, bachelor's degree, senior engineer, deputy department manager. Research directions: evolution of digital broadcasting and television terminal forms, user interaction experience, ultra-high-definition transmission technology.
Wang Yongde (1972—), male, from Chengmai, Hainan, bachelor's degree, senior engineer, deputy general manager. Research directions: new broadcasting and television networks, digital television technology, streaming media, ultra-high-definition, artificial intelligence, network security.
Weng Junhua (1979—), male, from Lingao, Hainan, bachelor's degree, senior engineer, department manager. Research directions: digital broadcasting and television business in end-to-end ultra-high-definition transmission bearer network technology for new broadcasting and television networks.
Ning Yongqiang (1978—), male, from Luoyang, Henan, master's degree, senior engineer, chairman. Research directions: digital protection, inheritance, and utilization of cultural heritage, terminal applications of cultural tourism large models, cultural tourism agent technology.
(Responsible Editor: Li Jing)