FashionAsk: A Multimedia based Question-Answering System
Wei Zhang, Lei Pang, Chong‐Wah Ngo · 2013
We demonstrate a multimedia-based question-answering system, named FashionAsk, by allowing users to ask questions referring to pictures snapped by mobile devices. Instead of asking verbose questions to depict visual instances, direct pictures are provided as part of the question. The signicance of our system is that (1) our system is fully automatic such that no human expert is involved; (2) and we bypass the requirement of the name for the object under query, which is mostly unknown to the asker. To answer these multi-modal questions, FashionAsk performs a large-scale instance search and metadata pooling to name the instance under query, and then matches with similar questions from communitycontributed QA websites as answers. This demonstration is conducted on a million-scale dataset of Web images and QA pairs in the domain of fashion products. Asking a multimedia question through FashionAsk can take as short as ve seconds to retrieve the candidate answer as well as suggested questions.