%0 Journal Article
%T New Survey on Automatic Image and Video Annotation<br>图像与视频自动标注最新进展
%A YIN Wen-jie
%A HAN Jun-wei
%A GUO Lei
%A <br>尹文杰
%A 韩军伟
%A 郭雷
%J 计算机科学
%D 2011
%I 
%X 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.
%K Automatic image and video annotation
%K Learning-based approaches
%K Search-based approaches<br>图像与视频自动标注，基于学习的标注，基于搜索的标注
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=17DDCED190714E79167E3A4950CA3A67&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=59906B3B2830C2C5&sid=59906B3B2830C2C5&eid=7801E6FC5AE9020C&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0