Basser Seminar Series

Video Summarization for Big Multimedia Data

Speaker: Dr Zhiyong Wang
School of IT, The University of Sydney

When: Wednesday 25 June, 2014, 4:00-5:00pm

Where: The University of Sydney, School of IT Building, SIT Lecture Theatre (Room 123), Level 1

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It has become more and more demanding for users to obtain quick comprehension of video content, while big multimedia data is growing exponentially. Video summarization, also known as video abstracting, extracts the essential information of a video to produce a compact and informative version. In this talk, he will present recent studies of his team in this field. While most of the existing methods rely on global visual features to characterize each video frame, they for the first time formulate the video summarization task as a keypoint selection problem from a local feature point of view. Based on this new perspective, they develop a new keypoint coverage approach and a novel Bag-of-Importance (BoI) model for static video summarization. He will demonstrate their state-of-the-art results, as well as discuss potential directions of this topic.

Speaker's biography

Zhiyong Wang is a Senior Lecturer and Associate Director of Multimedia Laboratory at the School of Information Technologies, University of Sydney. He received his BEng and MEng degrees in Electronic Engineering from South China University of Technology, Guangzhou, China, and his PhD degree from Hong Kong Polytechnic University, Hong Kong. During his PhD research on multimedia information retrieval and management, together with his supervisor Dr. Z. Chi, he pioneered image based plant identification and structural representation of image content for image retrieval and classification, in particular for plants of Traditional Chinese Medicine, which can be generally extended to a wide range of applications in agriculture and other natural resource management. His research interests include multimedia information processing, retrieval and management, Internet-based multimedia data mining, and pattern recognition. He has published more than 70 scholarly research papers with contributions to fundamental multimedia computing theories and applications in many domains such as geoscience, security, health care, and social science.