人工智能技术视域下短视频图像自动化识别感知与数智研究  

Research on Automated Recognition,Perception,and Digital Intelligence of Short Video Images from the Perspective of Artificial Intelligence Technology

作　　者：冉鸿雁 熊英[1] 赵梨君 RAN Hongyan;XIONG Ying;ZHAO Lijun(Sichuan Vocational and Technical College of Chemical Industry,Luzhou Sichuan 646300)

机构地区：[1]四川化工职业技术学院,四川泸州646300

出　　处：《软件》2025年第2期137-140,共4页Software

摘　　要：探讨了在人工智能技术(AI)视域下短视频图像自动化识别(Automated Image Recognition in Short Videos)的现状与未来发展趋势。以近年来短视频行业的蓬勃发展为背景,综述了人工智能领域的核心技术,包括深度学习(Deep Learning)和卷积神经网络(CNNS)。研究发现,短视频图像识别主要基于图像特征提取与分类算法,且与传统技术相比,现代算法在特征表达能力上有显著提升。同时,图像感知与理解被确认为提高用户体验的关键因素,感知过程中的情感分析以及语义感知与数智分析技术,为用户情感和内容互动提供了更深入的认知支持。This study explores the current status and future development trends of Automated Image Recognition in Short Videos from the perspective of artificial intelligence technology(AI).Against the backdrop of the booming development of the short video industry in recent years,this article summarizes the core technologies in the field of artificial intelligence,including deep learning and convolutional neural networks(CNNS).Research has found that short video image recognition is mainly based on image feature extraction and classification algorithms,and compared with traditional techniques,modern algorithms have significantly improved feature expression ability.At the same time,image perception and understanding have been identified as key factors in improving user experience.Emotional analysis,semantic perception,and data intelligence analysis techniques in the perception process provide deeper cognitive support for user emotional and content interaction.

关 键 词：人工智能 图像识别 短视频 

分 类 号：TN948[电子电信—信号与信息处理] TP309[电子电信—信息与通信工程]