| Paper: | IMDSP-P11.7 | ||
| Session: | Video Analysis | ||
| Time: | Friday, May 21, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Image and Video Analysis | ||
| Title: | MULTIPLE FEATURE CLUSTERING ALGORITHM FOR AUTOMATIC VIDEO OBJECT SEGMENTATION | ||
| Authors: | Wei Wei; Chinese University of Hong Kong | ||
| King Ngi Ngan; Chinese University of Hong Kong, Hong Kong SAR of China / Nanyang Technological University | |||
| Nariman Habili; iOmniscient Pty Ltd | |||
| Abstract: | In this paper, we present an automatic video segmentation algorithm for object-based coding based on k-medians clustering algorithm and two-dimensional binary model. Firstly, the k-medians algorithm is employed to partition an image into a set of homogeneous regions. Then, a two-dimensional binary model of the moving object is set up, which combined with temporal and spatial information, will guide the extraction process of the VOPs from the video sequence. The performance of the segmentation algorithm is illustrated by simulations carried out on standard video sequences. | ||
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