Multimodel-Multimodal Indexing (2020-- )

(Principal Investigator: Srikanta Bedathur)

A Project Grant from Huawei Technologies India Ltd.

Abstract

With ever increasing generation and consumption of multimedia –e.g., Instagram,YouTube, Facebook media, and many more– a large majority of these data sources areboth multi-model and multi-modal in nature. Modalities in which data needs to becaptured and analyzed could vary from classical relational data, to nested documentmodels, key-value stores, geo-spatial data, astronomical data, spatio-temporal data,biometric, image data and many more. The goal is to build an open-source data virtualization platform that offers a seamless multi-modal indexing to answer queries at scale.

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Srikanta Bedathur
DS Chair of Artificial Intelligence