Optimal products presentation in offer images for e-commerce marketplace platform

Offer images play an important role for e-commerce platforms in communicating features that are hard to express with plain text. Images affect consumer's attitude and emotions toward particular products and the whole platform quality. This paper makes contribution to show the way of providing measurable indicators for product images business quality. The term business quality means ‘pure’ item visualisation giving easy to capture information about products of each offer. Additionally, this paper exposes the superiority of deep learning techniques over standard ones used to detect information in images.

[1]  Andrew Blake,et al.  "GrabCut" , 2004, ACM Trans. Graph..

[2]  Andrew Zisserman,et al.  Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition , 2014, ArXiv.

[3]  Horst Bischof,et al.  Efficient Maximally Stable Extremal Region (MSER) Tracking , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[4]  Shuicheng Yan,et al.  Multi-oriented Scene Text Detection via Corner Localization and Region Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[5]  Dan J. Kim,et al.  Assessing the effects of consumers' product evaluations and trust on repurchase intention in e-commerce environments , 2018, Int. J. Inf. Manag..

[6]  Xiang Bai,et al.  Detecting Oriented Text in Natural Images by Linking Segments , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[7]  Manik Varma,et al.  Character Recognition in Natural Images , 2009, VISAPP.

[8]  Robinson Piramuthu,et al.  When relevance is not Enough: Promoting Visual Attractiveness for Fashion E-commerce , 2014, ArXiv.

[9]  Robinson Piramuthu,et al.  Is a picture really worth a thousand words?: - on the role of images in e-commerce , 2014, WSDM.