| 富媒体聚合过程中人工智能应用研究 |
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| 引用本文： | 张 路,吴正威.富媒体聚合过程中人工智能应用研究[J].教育技术导刊,2020,19(7):46-49. |
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| 作者姓名： | 张 路 吴正威 |
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| 作者单位： | 1. 中宣部机关服务中心，北京 100052；2. 北京交通大学 软件学院，北京 100044； 3. 江苏睿泰数字传媒有限公司，江苏 无锡 214072 |
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| 摘 要： | 为了提高富媒体聚合过程的资源利用效率，特别是针对资料标签化工作量庞大的问题，运用语义分析与图片识别等一系列人工智能技术，对富媒体生产制作流程进行改进，可将资源标签化效率提高 80%以上，为产出高质量的富媒体资源提供强大的技术支持。
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| 关 键 词： | 富媒体聚合 人工智能 标签 |
| 收稿时间： | 2019-09-02 |
Research on the Application of AI in the Process of Rich Media Aggregation |
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| ZHANG Lu,WU Zheng-wei.Research on the Application of AI in the Process of Rich Media Aggregation[J].Introduction of Educational Technology,2020,19(7):46-49. |
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| Authors: | ZHANG Lu WU Zheng-wei |
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| Institution: | 1.Central Propaganda Department Organ Service Center，Beijing 100052，China；2. School of Software，Beijing Jiaotong University，Beijing 100044，China；3.Jiangsu Ruitai Digital Media Co.，Ltd.，Wuxi 214072，China |
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| Abstract: | In order to improve the efficiency of resource utilization in the process of rich media aggregation，especially in view of the huge amount of data tagging，a series of artificial intelligence technologies such as semantic analysis and image recognition are used to improve the production process of rich media，which can increase the efficiency of resource tagging by more than 80%，and provide strong technical support for the production of high-quality rich media resources. |
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| Keywords: | rich media aggregation artificial intelligence tag |
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