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Updated: Mar 2, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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KE-VUM:知识增强的视频理解模型,用于细粒度的电影描述

Xiaojing Gu1, Gen Xu2, Xiaolu Zhang2

  • 1University of Chinese Academy of Sciences, Beijing, China.

Neural networks : the official journal of the International Neural Network Society
|February 28, 2026
PubMed
概括

本研究介绍了KE-VUM,这是一种用于详细描述电影片段的新型模型. 它利用脚本知识显著提高叙事连贯性和描述性准确性,优于现有方法.

关键词:
知识图表知识图表增强知识增强的知识.视频理解 视频理解

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