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An adaptable search engine for multimodal information retrieval
2009
Journal of the American Society for Information Science and Technology
Multimodal information retrieval is a research problem of great interest in all domains, due to the huge collections of multimedia data available in different contexts like text, image, audio and video. Researchers are trying to incorporate multimodal information retrieval using machine learning, support vector machines, neural network and neuroscience etc. to provide an efficient retrieval system that fulfills user need. This paper is an overview of multimodal information retrieval, challenges
doi:10.1002/asi.21091
fatcat:jgcvyun6zna7vkze5wcliibzxu