Construction of Intelligent Evaluation System for Video Content Based on Big Data in the Context of 5G1

Dianyi Wu, Siwei Long, Yan Zhou, Sucheng Chen
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Abstract

With the development of 5G technology, content is no longer closed and one-dimensional. Openness, sharing and co-construction, and multilateral cooperation have become common phenomena in content production, transmission, distribution, and trading. The survival rules of the traditional content industry have emerged. However, the original evaluation mechanism cannot adapt to the needs of the current open and massive content industry. Therefore, the author tried to propose a content evaluation model based on big data.In this study, the author first sorted out the changes in the content industry, proposed that the current mature big data industry provides a technical basis for the implementation of content evaluation models, and further proposed the basic principles that the content evaluation model should meet, and build on this basis A content evaluation model composed of three-dimensional data is adopted. Through flexible processing of three-dimensional data, different requirements for evaluation in various links of the content industry can be realized.
5G1背景下基于大数据的视频内容智能评价体系构建
随着5G技术的发展,内容不再是封闭的、单一的。开放、共享、共建、多边合作已成为内容生产、传播、发行、交易的普遍现象。传统内容产业的生存法则已经显现。然而,原有的评价机制已经不能适应当前开放、海量的内容产业的需要。因此,笔者尝试提出一种基于大数据的内容评价模型。在本研究中,笔者首先梳理了内容产业的变化,提出目前成熟的大数据产业为内容评价模型的实施提供了技术基础,并进一步提出了内容评价模型应满足的基本原则,并在此基础上构建了采用三维数据构成的内容评价模型。通过对三维数据的灵活处理,可以实现内容产业各个环节对评价的不同要求。
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