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With the ever increasing availability of various kinds of multimedia data, cross-modal retrieval, which enables information retrieval from various types of data given various types of query, has become a research hotspot. Hashing-based techniques have been developed to solve this problem, however, most previous works cannot capture the shared underlying structure of real-world multimodal data, which...
Recently, there has been a dramatic increase of the amount of audio, video, and images created and shared on the Internet by users around the world. Much of this content is publicly available and free of cost. When viewed through the lens of pattern classification, this content can be seen as a virtually unlimited supply of training data for various statistical modeling and labeling tasks such as...
Concept-based multimedia search has become more and more popular in multimedia information retrieval (MIR). However, which semantic concepts should be used for data collection and model construction is still an open question. , there is very little research found on automatically choosing multimedia concepts with small semantic gaps. In this paper, we propose a novel framework to develop a lexicon...
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