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This paper proposes a new method for feature extraction and recognition, namely, the fuzzy bidirectional maximum margin criterion (FBMMC) based on the maximum margin criterion and fuzzy set theory. In FBMMC, a membership grade matrix is calculated by the FKNN algorithm, and then the membership grades are incorporated into the formulation of the scatter matrices to formulate the row and column directional...
In this paper, we aim to address the problem of naming faces in feature-length films using video and film script. Different from the state-of-the-art methods on naming faces in the videos, most of which used a local matching between a visible face and one of the names extracted from the local video transcript, we use a global matching between names and faces as it is not easy to obtain enough local...
Identification of characters in films, although very intuitive to humans, still poses a significant challenge to computer methods. In this paper, we investigate the problem of identifying characters in feature-length films using video and film script. Different from the state-of-the-art methods on naming faces in the videos, most of which used the local matching between a visible face and one of the...
This paper presents a novel approach to automatically identify characters in films using audio visual cues and text analysis. The approach consists of three stages: (i) frontal face track detection and clustering, (ii) face track classification, (iii) name assignment. A finite state machine (FSM) method is utilized to filter faces detected on each frame and build face tracks. The face tracks are clustered...
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