Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
11-2012
Abstract
We demonstrate a multimedia-based question-answering system, named FashionAsk, by allowing users to ask questions referring to pictures snapped by mobile devices. Specifically, instead of asking verbose questions to depict visual instances, direct pictures are provided as part of questions. To answer these multi-modal questions, FashionAsk performs a large-scale instance search to infer the names of instances, and then matches with similar questions from communitycontributed QA websites as answers. The 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 five seconds to retrieve the candidate answer as well as suggested questions.
Keywords
instance naming, multimedia question answering, question matching
Discipline
Data Storage Systems | Graphics and Human Computer Interfaces
Research Areas
Intelligent Systems and Optimization
Publication
Proceedings of the 20th ACM international conference on Multimedia, MM 2012, Nara, Japan, October 29 - November 2
First Page
1345
Last Page
1346
ISBN
9781450310895
Identifier
10.1145/2393347.2396476
Publisher
ACM
City or Country
Nara, Japan
Citation
ZHANG, Wei; PANG, Lei; and NGO, Chong-wah.
FashionAsk: Pushing community answers to your fingertips. (2012). Proceedings of the 20th ACM international conference on Multimedia, MM 2012, Nara, Japan, October 29 - November 2. 1345-1346.
Available at: https://ink.library.smu.edu.sg/sis_research/6469
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.