16 March 2015 Face retrieval in video sequences using Web images database
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Abstract
Face processing techniques for automatic recognition in broadcast video attract the research interest because of its value in applications, such as video indexing, retrieval, and summarization. In multimedia press review, the automatic annotation of broadcasting news programs is a challenging task because people can appear with large appearance variations such as hair styles, illumination conditions and poses that make the comparison between similar faces more difficult. In this paper a technique for automatic face identification in TV broadcasting programs based on a gallery of faces downloaded from Web is proposed. The approach is based on a joint use of Scale Invariant Feature Transform descriptor and Eigenfaces-based algorithms and it has been tested on video sequences using a database of images acquired starting from a web search. Experimental results show that the joint use of these two approaches improves the recognition rate in case of use Standard Definition (SD) and High Definition (HD) standards.
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M. Leo, F. Battisti, M. Carli, A. Neri, "Face retrieval in video sequences using Web images database", Proc. SPIE 9399, Image Processing: Algorithms and Systems XIII, 93990Y (16 March 2015); doi: 10.1117/12.2083316; https://doi.org/10.1117/12.2083316
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