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CAIP
2015
Springer

Content Extraction from Marketing Flyers

7 years 10 months ago
Content Extraction from Marketing Flyers
The rise of online shopping has hurt physical retailers, which struggle to persuade customers to buy products in physical stores rather than online. Marketing flyers are a great mean to increase the visibility of physical retailers, but the unstructured offers appearing in those documents cannot be easily compared with similar online deals, making it hard for a customer to understand whether it is more convenient to order a product online or to buy it from the physical shop. In this work we tackle this problem, introducing a content extraction algorithm that automatically extracts structured data from flyers. Unlike competing approaches that mainly focus on textual content or simply analyze font type, color and text positioning, we propose novel and more advanced visual features that capture the properties of graphic elements typically used in marketing materials to attract the attention of readers towards specific deals, obtaining excellent results and a high language and genre in...
Ignazio Gallo, Alessandro Zamberletti, Lucia Noce
Added 17 Apr 2016
Updated 17 Apr 2016
Type Journal
Year 2015
Where CAIP
Authors Ignazio Gallo, Alessandro Zamberletti, Lucia Noce
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