| Paper: | WP-P3.12 |
| Session: | Video Object Segmentation and Tracking III / Video Shot/Scene Segmentation |
| Time: | Wednesday, September 19, 14:30 - 17:10 |
| Presentation: |
Poster
|
| Title: |
A NOVEL VIDEO PARSING ALGORITHM UTILIZING THE PLEASURE-AROUSAL-DOMINANCE EMOTIONAL INFORMATION |
| Authors: |
Sutjipto Arifin; Imperial College London | | |
| | Peter Y.K. Cheung; Imperial College London | | |
| Abstract: |
One of the major problems faced when designing a high level video parsing system is that viewers usually have doubts about the exact boundaries of an episode. Moreover, due to the different emotional states that viewers have while viewing a video, it is very difficult to improve the performance of these algorithms using convention methods. To solve this problem, this paper presents a novel spectral clustering based high level video parsing algorithm that utilizes the Pleasure-Arousal-Dominance (P-A-D) [j:Mehrabain1996,j:Valdez1994] emotional content of the video. |
