SHIAE-2006 Project

Department of Electronic Engineering, The Chinese University of Hong Kong


Project Title
Automatic Video Segmentation and Tracking for Real Time Multimedia Services
Project Members
Principal Investigator : King Ngi Ngan
Co-I : Hongliang Li
Project Description


In recent years, there has been rapidly growing interest in content-based functionalities of video data, such as video editing, content-based image retrieval, video indexing, video event analysis, etc. Video segmentation as a challenging and active research area is a key technique for semantic object extraction and plays an important role in digital video processing and computer vision. The task of segmenting/tracking a video object emerges in many applications, such as traffic monitoring, surveillance and video conferencing, etc.

The objectives of the project are:

        To investigate the saliency model for extracting objects of interest from videos.

        To develop novel automatic video object segmentation techniques for generic and specific (e.g., video surveillance, videoconferencing) applications based on saliency model.

        To develop real time object segmentation techniques based on saliency model and fast transforms.

The outcomes of the project find applications in real time content-based multimedia services.
Funding Source
This project is supported by the Shun Hing Institute of Advanced Engineering (SHIAE).
Project Details  

Project Milestones

Last Updated:
May 2, 2006                                                                                                                                                                          2006. All Rights Reserved