Title

Visual Business Recognition - A Multimodal Approach

Keywords

Business recognition; Business review; Location based service; Map; Multi-hypotheses; Scene text; Storefront; Yelp

Abstract

In this paper we investigate a new problem called visual business recognition. Automatic identification of businesses in images is an interesting task with plenty of potential applications especially for mobile device users. We propose a multimodal approach which incorporates business directories, textual information, and web images in a unified framework. We assume the query image is associated with a coarse location tag and utilize business directories for extracting an over complete list of nearby businesses which may be visible in the image. We use the name of nearby businesses as search keywords in order to automatically collect a set of relevant images from the web and perform image matching between them and the query. Additionally, we employ a text processing method customized for business recognition which is assisted by nearby business names; we fuse the information acquired from image matching and text processing in a probabilistic framework to recognize the businesses. We tested the proposed algorithm on a challenging set of user-uploaded and street view images with promising results for this new application. Copyright © 2013 ACM.

Publication Date

11-18-2013

Publication Title

MM 2013 - Proceedings of the 2013 ACM Multimedia Conference

Number of Pages

665-668

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1145/2502081.2502174

Socpus ID

84887487128 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84887487128

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