学术报告:Multi-Modal Approach for Person Abnormal Behavior Identification through Social Media Images
发布日期:
2018-09-25
浏览次数:
729

报告人:Dr. Shivakumara Palaiahnakote, Faculty Of Computer Science & Information Technology, University of Malaya

时间:2018927日(周三)14:00

地点:江宁校区勤学楼3305会议室

摘要:With the advent of social media, people start to use images and videos to express their feelings or emotions according to their behaviors such as bullying and threatening.  In this talk, we predict person abnormal behaviors, namely, bullying, threatening, depression, sarcastic and psychopath with extraversion (normal) based on images posted on social media. The first step is to detects face as a foreground component, and other information (non-face) as background components to extract context features. Next, for each foreground and background components, we explore Hanman transform to study local variations in them. Based on Hanman (H) values, we combine H values of foreground and background components according to contribution, which results in two feature vectors. The two feature vectors are then fused by deriving weights to generate one feature vector. Further, the feature vector is passed to an SVM classifier for the final identification. Experimental results on different classes of normal and abnormal images chosen from different social media show that the proposed approach is very effective.

报告人简介:Palaiahnakote Shivakumara is a Senior Lecturer in Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia. Previously, he was with Department of Computer Science, School of Computing, National University of Singapore from 2008-2013 as a Research Fellow on Video text extraction and recognition project. He received B.Sc., M.Sc., M.Sc Technology by research and Ph.D degrees in computer science respectively in 1995, 1999, 2001 and 2005 from University of Mysore, Mysore, Karnataka, India.  From 1999 to 2005, he was Project Associate in the Department of Studies in Computer Science, University of Mysore. He worked as a Research Fellow in the field of image processing and multimedia in the Department of Computer Science, School of Computing, National University of Singapore, from 2005-2007. He also worked as a Research Consultant in Nanyang Technological University, Singapore for a period of 6 months on image classification in 2007. He has published more than 190 research papers in national, international conferences and journals. He has been reviewer for several conferences and journals. He has been serving as Associate Editor for ACM Transactions Asian and Low-Resource Language Information Processing (TALLIP). He received the prestigious award “The Dynamic Indian of the Millennium” by KG Foundation, Coimbatore, India for his contribution to computer science. He also received the award of “Top Reviewer” recognition from Pattern Recognition Letter (PRL) journal. His research interests are in the area of image processing, pattern recognition, document image analysis, Forgery detection and video text understanding. He is a life member of IUPRAI (Indian unit of IAPR) and member of IEEE.