Affective content-based film clips retrieval algorithm using improved fuzzy comprehensive evaluation

Authors:
Xinqi Lin
Affiliations:
Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou, China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

Citing 5
Cited 0

Affective content detection using HMMs

MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Combining Features for Shape and Motion Trajectory of Video Objects for Efficient Content Based Video Retrieval

ICAPR '09 Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition
Computable scenes and structures in films

IEEE Transactions on Multimedia
Affective video content representation and modeling

IEEE Transactions on Multimedia
Affective understanding in film

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

With the development of computer's communication and multimedia technologies, the amount of video data is enlarged at an explosive speed. How to realize the personal video service becomes a hot issue in video retrieval area. In this paper, a new retrieval approach is proposed base on the scene affective content evaluation. First, affective content evaluation values are computed by improved fuzzy comprehensive evaluation model corresponding to different emotion types, and they are combined to become a vector which is used to describe the content of every scene. Then a film clip retrieval system is established by using triangle similarity measure. Finally, the experiment results are given. The experimental results show that the proposed method can perform best with a high retrieval accuracy rate (exceeding 88%).