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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v8i3.7222</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Optimization and Performance Analysis of Intelligent Video AI Dynamic</title><url>https://artdesignp.com/journal/JERA/8/3/10.26689/jera.v8i3.7222</url><author>XingYu</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>8</volume><issue>3</issue><history><date date-type="pub"><published-time>2024-06-13</published-time></date></history><abstract>In today’s information age, video data, as an important carrier of information, is growing explosively in terms of production volume. The quick and accurate extraction of useful information from massive video data has become a focus of research in the field of computer vision. AI dynamic recognition technology has become one of the key technologies to address this issue due to its powerful data processing capabilities and intelligent recognition functions. Based on this, this paper first elaborates on the development of intelligent video AI dynamic recognition technology, then proposes several optimization strategies for intelligent video AI dynamic recognition technology, and finally analyzes the performance of intelligent video AI dynamic recognition technology for reference.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Huang H, Liu W, Ji S, 2024, Design of Dynamic Popular Science Equipment Based on AI Image Recognition Technology. 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