文献类型：期刊文献

英文题名：Collaborative Optimization of English Online Teaching Informatization Based on Intelligent Multimedia Image Technology

作者：Tu, Haihua[1]

机构：[1]Shaoxing Univ, Coll Foreign Languages, Shaoxing 312000, Zhejiang, Peoples R China

年份：2024

卷号：23

期号：6

外文期刊名：ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING

收录：SCI-EXPANDED(收录号：WOS:001265367500012)、、EI(收录号：20242716598467)、Scopus(收录号：2-s2.0-85197398523)、WOS

语种：英文

外文关键词：English online teaching; Support Vector Machine; intelligent multimedia; image technology; image classification

外文摘要：With the rapid development of computer technology and the deepening of educational concepts, the tra-ditional English teaching methods have also changed. As a new teaching method, online teaching has received extensive attention. Online teaching has introduced intelligent multimedia image technology in English teaching, which has transformed the essence of English teaching by organically integrating tradi-tional teaching and multimedia teaching. With the rapid growth of Internet and intelligent multimedia image technology, the number of digital images is growing exponentially. How to extract the required image from the large amount of multimedia image data has been an important topic at present. In this case, intelligent multimedia image technology emerges as the times require, which extracts the features of the image from the content of the image itself, and then retrieves it through the features. This article proposed a retrieval and classification method based on intelligent multimedia image technology. Among them, Support Vector Machine (SVM) was used to classify multimedia resources, which had a good effect. The results of this ex-periment showed that before the experiment, the listening score of the multimedia group was 65.5, and the speaking score was 59.7. After the experiment, the listening score of the multimedia group was 79.8, and the speaking score was 80.6. It can be found that the performance of the multimedia group has been greatly improved after the experiment, which shows that online English teaching based on intelligent multimedia image technology is more conducive to the improvement of students' academic performance.