2013International Journal of Computer ApplicationsOpen access

Multimodal Information Retrieval: Challenges and Future Trends

Mohammad UbaidullahBokhari, Faraz Hasan

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Abstract

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 in the progress of multimodal information retrieval.

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What this paper is about

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 in the progress of multimodal information retrieval.

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Available abstract

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 in the progress of multimodal information retrieval.

Key concepts: Computer science, Information retrieval, Data science

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