A Novel Video Parsing Algorithm Utilizing the Pleasure-Arousal-Dominance Emotional Information

• Published in: 2007 IEEE International Conference on Image Processing Vol. 6; pp. VI - 333 - VI - 336
• Main Authors: Arifin, S., Cheung, P.Y.K.
• Format: Conference Proceeding
• Language: English; Japanese
• Published: IEEE 01-09-2007
• Subjects: Clustering algorithms; Clustering methods; Concrete; Design engineering; Educational institutions; Machine vision; Modeling; Motion pictures; Signal processing algorithms; Time factors; Video signal processing
• ISBN: 9781424414369; 1424414369
• ISSN: 1522-4880; 2381-8549
• DOI: 10.1109/ICIP.2007.4379589

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) (Mehrabian, 1996 and Valdez and Mehrabian, 1994) emotional content of the video.