A Research on Image Processing in Modern E-commerce
- DOI
- 10.2991/978-94-6463-370-2_46How to use a DOI?
- Keywords
- Convolutional neural networks; Digital watermarking; Augmented reality; virtual reality
- Abstract
E-commerce has transformed the retail industry due to its convenience in customization and scalability. Researchers and analysts are deploying machine learning and especially image processing onto E-commerce to visually satisfy customers. This paper explains the most significant application of image processing in E-commerce, the recommendation systems. Recommendation systems convert a product’s features into many feature vectors and apply networks to filter the products. Therefore, E-commerce merchants study the recommendation algorithms and refine their image selections in product display. This paper also lists E-commerce’s potential security concerns regarding image thievery and bot spamming and the application of image processing in solutions to the problems. Aside from current implications, this paper introduces direct interaction between image processing and E-commerce customers in examples like Augmented Reality and Virtual Reality, explaining their effects in enriching an interactive customer experience. In conclusion, this paper proposes the current trend and prospects for future developments in image processing in E-commerce.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Chih Lun Lee PY - 2024 DA - 2024/02/14 TI - A Research on Image Processing in Modern E-commerce BT - Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023) PB - Atlantis Press SP - 450 EP - 457 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-370-2_46 DO - 10.2991/978-94-6463-370-2_46 ID - Lee2024 ER -