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People News Search via Name-Face Association Analysis

By integrating multimodal information in multimodal news, a novel scheme is developed in this paper for facilitating more effective people news search via name-face association analysis. It is treated as a problem of bi-media multimodal semantic mapping on multimodal news, and modeled as an inter-related correlation distribution over multimodal semantic representations of name-face associations. Very positive results have been obtained in our experiments using a large quantity of public multimodal news data.