Topic Correlations for Cross-Modal Multimedia Information Retrieval
Abstract
Advanced information retrieval systems face a great challenge arising from the emergence of massive and multi-modal data, including images, texts, video, audio and etc.One of the most important problems in this field is to accomplish effective and efficient search across various modalities of information.Given a query from one modality, it is desirable to retrieve semantically relevant answers in all the available modalities.This chapter first briefly reviews related works, including uni-modal information retrieval, multi-modal information retrieval, and cross-modal information retrieval.For crossmodal retrieval models, this chapter gives an introduction to manifold alignment-based
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