本文提出了多个基于半监督学习的自动视频标注方法。通过对几种常见的半监督学习方法，如自训练、互训练以及Co一EM等方法的分析，针对它们(主要是自训练和互训练方法)在视频标注应用中的局限，在提高分类的准确性和模型更新等方面做了深入研究，提出了相应的改进措施。

-This paper presents a number of semi-supervised learning-based automatic video annotation methods. Through several common semi-supervised learning methods, such as self-training, cross training, and Co an analysis of EM and other methods for them (mainly from the training and cross-training methods) in the video annotation applications, the limitations in enhancing the classification accuracy and model updating have done a thorough study and submit a corresponding improvement measures.