Design of Video Advertisement Classification System under the Background of New Media

Proceedings of the 7th International Conference on Cyber Security and Information Engineering Pub Date : 2022-09-23 DOI:10.1145/3558819.3558838

Xiuping Han

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引用次数: 1

Abstract

In order to obtain ideal mass video advertisement retrieval results, a video advertisement classification system under the background of new media is proposed. According to the feedback of the basic layer, the logic analysis and processing layer segments the original video advertisement sequence, uses multi tributary network to encode the intermediate frame sequence, extracts the useful information in the video advertisement, introduce the spatial attention prediction model to each tributary of the multi tributary network, integrates the attention spectrum the feature spectrum extracted from each tributary network. The total connection layer obtains the classification score of video advertisement, and linearly superimposes it to obtain the type estimation result of the overall video advertisement, and feeds tack the result to the user. The results show that the system can achieve video advertising classification, classification accuracy is high, and the overall performance of the system is superior. CCS CONCEPTS • Information systems∼Information retrieval∼Users and interactive retrieval

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新媒体背景下视频广告分类系统设计

为了获得理想的海量视频广告检索结果，提出了一种新媒体背景下的视频广告分类系统。根据基础层的反馈，逻辑分析处理层对原始视频广告序列进行分割，利用多支路网络对中间帧序列进行编码，提取视频广告中的有用信息，将空间注意力预测模型引入到多支路网络的各支路中，将各支路网络提取的特征频谱进行注意力谱整合。总连接层获取视频广告的分类分数，对其进行线性叠加，得到整个视频广告的类型估计结果，并将结果反馈给用户。结果表明，该系统能够实现视频广告分类，分类准确率高，系统整体性能优越。CCS概念•信息系统~信息检索~用户和交互式检索

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Proceedings of the 7th International Conference on Cyber Security and Information Engineering

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