Towards Coherent Visual Storytelling with Ordered Image Attention

• URL: http://arxiv.org/abs/2108.02180v1
• Date: Wed, 4 Aug 2021 17:12:39 GMT
• Title: Towards Coherent Visual Storytelling with Ordered Image Attention
• Authors: Tom Braude, Idan Schwartz, Alexander Schwing, Ariel Shamir
• Abstract summary: We develop ordered image attention (OIA) and Image-Sentence Attention (ISA) OIA models interactions between the sentence-corresponding image and important regions in other images of the sequence. To generate the story's sentences, we then highlight important image attention vectors with an Image-Sentence Attention (ISA)
• Score: 73.422281039592
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We address the problem of visual storytelling, i.e., generating a story for a given sequence of images. While each sentence of the story should describe a corresponding image, a coherent story also needs to be consistent and relate to both future and past images. To achieve this we develop ordered image attention (OIA). OIA models interactions between the sentence-corresponding image and important regions in other images of the sequence. To highlight the important objects, a message-passing-like algorithm collects representations of those objects in an order-aware manner. To generate the story's sentences, we then highlight important image attention vectors with an Image-Sentence Attention (ISA). Further, to alleviate common linguistic mistakes like repetitiveness, we introduce an adaptive prior. The obtained results improve the METEOR score on the VIST dataset by 1%. In addition, an extensive human study verifies coherency improvements and shows that OIA and ISA generated stories are more focused, shareable, and image-grounded.

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