Multimodal Retrieval using Mutual Information based Textual Query Reformulation
文摘

Multimodal Retrieval efficiency can be improved by textual query reformulation.

A graph based keyphrase extraction incorporating correlation of terms is proposed.

Textual query is expanded with relevant part of narratives and extracted keyphrases.

Text and image features are combined using a weightlearning model.

The proposed method improves both image and text retrieval efficiency significantly.

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