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arXiv · 1604.01729

Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text

Subhashini Venugopalan·Lisa Anne Hendricks·Raymond Mooney·Kate Saenko
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Abstract

This paper investigates how linguistic knowledge mined from large text corpora can aid the generation of natural language descriptions of videos. Specifically, we integrate both a neural language model and distributional semantics trained on large text corpora into a recent LSTM-based architecture for video description. We evaluate our approach on a collection of Youtube videos as well as two large movie description datasets showing significant improvements in grammaticality while modestly improving descriptive quality.

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Subhashini Venugopalan, Lisa Anne Hendricks, Raymond Mooney, Kate Saenko. 2016-04-06. Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. https://arxiv.org/abs/1604.01729

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