| Paper: | MLSP-P6.9 | ||
| Session: | Biomedical and Other Applications | ||
| Time: | Friday, May 19, 16:30 - 18:30 | ||
| Presentation: | Poster | ||
| Topic: | Machine Learning for Signal Processing: Image and Video Processing Applications | ||
| Title: | MULTIPLE VIDEO OBJECT EXTRACTION USING MULTI-CATEGORY PSI-LEARNING | ||
| Authors: | Yi Liu, Yuan F. Zheng, The Ohio State University, United States; Xiaotong Shen, University of Minnesota, United States | ||
| Abstract: | As a requisite of content-based multimedia technologies, video object (VO) extraction is of great importance. In recent years, approaches have been proposed to handle the VO extraction directly as a classification problem. This type of methods calls for state-of-the-art classifiers because the extraction performance is directly related to the accuracy of classification. Promising results have been reported for single object extraction using Support Vector Machines (SVM) and its extensions such as psi-learning. Multiple object extraction, on the other hand, still imposes great difficulty as multi-category classification is an ongoing research topic in machine learning. This paper introduces the newly developed multi-category psi-learning as the multi-class classifier for multiple VO extraction, and demonstrates its effectiveness and advantages by experiments. | ||
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