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- W3028430767 abstract "Significant development of communication technology over the past few years has motivated research in multi-modal summarization techniques. A majority of the previous works on multi-modal summarization focus on text and images. In this paper, we propose a novel extractive multi-objective optimization based model to produce a multi-modal summary containing text, images, and videos. Important objectives such as intra-modality salience, cross-modal redundancy and cross-modal similarity are optimized simultaneously in a multi-objective optimization framework to produce effective multi-modal output. The proposed model has been evaluated separately for different modalities, and has been found to perform better than state-of-the-art approaches." @default.
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- W3028430767 date "2020-05-19" @default.
- W3028430767 modified "2023-09-27" @default.
- W3028430767 title "Multi-Modal Summary Generation using Multi-Objective Optimization" @default.
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