中国科学院自动化研究所   设为首页   加入收藏  联系我们
 
English
网站首页     实验室概况     研究队伍     组织机构     学术交流     科研成果     人才培养     开放课题     创新文化     资源共享     联系我们
    学术讲座

2013-6-4模式识别系列讲座Multi-Level and Networked Image Representation

模式识别系列讲座

Lecture Series in Pattern Recognition

 

题    目(TITLE):Multi-Level and Networked Image Representation

讲 座 人(SPEAKER):T.S. Huang and GuoJun Qi (University of Illinois at Urbana-Champaign)

主 持 人 (CHAIR) :Prof. Chenglin Liu

时    间 (TIME):June 4, 2013(Tuesday), PM 16:00

地    点 (VENUE):No.1 Conference Room (3rd floor), Intelligence Building

 

报告摘要(ABSTRACT):

In this talk, TSH shall first describe some recent research projects and ideas of his Group related to the broad topic of Image Representation. At the visual feature level (low-level), we have recently developed Hierarchical Gaussianization (HG), a patch-based location-sentive representation, which is a kind of soft version of "Bag of Words". HG hs been applied to a number of visual recognition tasks (including face recognition and face verification) with great success. At the semantic level (high-level), we are exploring the use of Ontology to help inference; i.e., to use the relationships between image/object classes/labels to increase recognition accuracy and even to come up with new paradigms of doing inference. The relationships of particular interest are: "is a subclass of", and "co-occurrence". We have developed several ways of taking advantage of these two relationships. Finally, in many web-based applications, visual data (images and video) are often embedded in "Heterogeneous Networks" (HN), which may involve Social Media. HN have a wide range of applications. To name but two: Personalized ranking and recommendation; collaborative trustworthy sensing (crowd sourcing and mining of trusted knowledge from social media).

In the second part of this talk, GJQ will expound on "mining trusted knowledge".

 

承办单位:模式识别国家重点实验室
友情链接
 
中科院自动化研究所 模式识别国家重点实验室 事业单位  京ICP备14019135号-3
NLPR, INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES