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iCap: Interative Image Captioning with Predictive Text

2020-02-04 08:36:31
Zhengxiong Jia, Xirong Li
arXiv_CV
         
Abstract

In this paper we study a brand new topic of interactive image captioning with human in the loop. Different from automated image captioning where a given test image is the sole input in the inference stage, we have access to both the test image and a sequence of (incomplete) user-input sentences in the interactive scenario. We formulate the problem as Visually Conditioned Sentence Completion (VCSC). For VCSC, we propose asynchronous bidirectional decoding for image caption completion (ABD-Cap). With ABD-Cap as the core module, we build iCap, a web-based interactive image captioning system capable of predicting new text with respect to live input from a user. A number of experiments covering both automated evaluations and real user studies show the viability of our proposals.

Abstract (translated)

URL

https://arxiv.org/abs/2001.11782

PDF

https://arxiv.org/pdf/2001.11782.pdf

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