Title :
Horror video recognition based on fuzzy evolution
Author :
Wei Song ; Pei Yang ; Guo-sheng Yang ; Chuan-lian Ma ; Jing Yu ; Ming Li
Author_Institution :
Sch. of Inf. & Eng., Minzu Univ. of China, Beijing, China
Abstract :
Fuzzy evolution model is implemented to resolve horror video recognition problem in this paper. Low-level video features include video key-light, video color energy and video rhythm are extracted as typical features. Analytic Hierarchy Process (AHP) is adopted to estimate the weights of extracted features in fuzzy evolution model. Membership function is constructed for horror detection. The experiments results show that the proposed approach has a high precision, high recall rate and F1 measure, and this indicates the availability of our proposed method.
Keywords :
analytic hierarchy process; feature extraction; fuzzy set theory; image colour analysis; image recognition; video signal processing; AHP; analytic hierarchy process; fuzzy evolution model; horror detection; horror video recognition; video color energy; video feature extraction; video key-light; video rhythm; Fuzzy evolution; Horror video recognition; K-Means cluster; Video affective;
Conference_Titel :
Cyberspace Technology (CCT 2014), International Conference on
Print_ISBN :
978-1-84919-928-5
DOI :
10.1049/cp.2014.1299
