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This paper introduces the new color face recognition (FR) method that makes effective use of boosting learning as color-component feature selection framework. The proposed boosting color-component feature selection framework is designed for finding the best set of color-component features from various color spaces (or models), aiming to achieve the best FR performance for a given FR task. In addition,...
Recently, in the fields of internet and social networking, the classification and filtering of naked images has been receiving a significant amount of attention. In this paper, we propose a novel naked image classification which can make effective use of semantic features of a naked image. In addition, a novel measurement, termed accumulated distance ratio (ADR), is proposed in order to systematically...
This paper proposes a novel weighted feature fusion in color face recognition (FR) to automatically annotate faces in personal videos. In the proposed FR method, multiple face images (belonging to the same subject) are clustered from a sequence of video frames. To facilitate a complementary effect on improving annotation performance, the grouped faces are combined using the proposed weighted feature...
Automatic face indexing is a promising technique for personalized IPTV applications. This paper proposes a novel framework that makes use of an STB's Internet connection in order to realize face indexing for a personal media library. In particular, given a drama or movie title, actor names are first retrieved from a drama or movie information web service. The obtained actor names are subsequently...
Face recognition (FR) for emerging applications such as face tagging for social networking, consumer products, and gamming utilize color images stored in distributed repositories. Such images are often in compressed format and of different dimensions. This compression mismatch problem may adversely affect the performance of the face recognition engine. In this paper, we present a comparative investigation...
In video-based face recognition (FR) applications such as surveillance security, the resolution of a facial image could significantly impact the reliability of recognition system. In most practical FR applications, it is reasonable to assume that the face resolution used during training is higher than the resolution used during the identification or verification process. This dimensional mismatch...
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