Visually precise query

Riddhiman Dasgupta, Francis Tom, Sudhir kumar, Mithun Das Gupta, Badri Narayana Patro, Vinay P Namboodiri

Abstract: We present the problem of Visually Precise Query (VPQ) generation which enables a more intuitive match between a user's information need and an e-commerce site's product description. Given an image of a fashion item, what is the most optimum search query that will retrieve the exact same or closely related product (s) with high probability. In this paper we introduce the task of VPQ generation which takes a product image and its title as its input and provides aword level extractive summary of the title, containing a list of salient attributes, which can now be used as a query to search for similar products. We collect a large dataset of fashion images and their titles and merge it with an existing research dataset which was created for a different task. Given the image and title pair, VPQ problem is posed as identifying a non-contiguous collection of spans within the title.