计算机科学 ›› 2011, Vol. 38 ›› Issue (12): 12-16.

• 综述 • 上一篇    下一篇

图像与视频自动标注最新进展

尹文杰,韩军伟,郭雷   

  1. (西北工业大学自动化学院 西安710129)
  • 出版日期:2018-12-01 发布日期:2018-12-01

New Survey on Automatic Image and Video Annotation

  • Online:2018-12-01 Published:2018-12-01

摘要: 近年来,图像与视频自动标注技术成为多媒体信息处理领域的一个研究热点并且发展迅速。重点介绍此领域研究的最新进展。将这些新方法分为两类:基于学习的标注方法和基于搜索的标注方法,分别介绍了各个算法的基本思想和优缺点。然后,介绍了一些目前流行的商业的和研究性的图像检索及标注系统。最后,提出了自动标注技术的进一步研究方向。

关键词: 图像与视频自动标注,基于学习的标注,基于搜索的标注

Abstract: In recent years,automatic image and video annotation has been becoming a popular research topic and is advancing very fast I}his paper provided a new survey to this technique by reviewing a variety of literatures published lately. The reviewed work was classified into two categories:learning-based approaches and search-based approaches.We firstly summarized their basic ideas,advantages,and drawbacks,respectively. Afterwards,we introduced a few commercial systems and research prototypes of retrieval and annotation. Finally, a potentially promising idea was suggested.

Key words: Automatic image and video annotation, Learning-based approaches, Search-based approaches

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!