Practical Analyses of How Common Social Media Platforms and Photo Storage Services Handle Uploaded Images-Reference-Cited by-同舟云学术

Practical Analyses of How Common Social Media Platforms and Photo Storage Services Handle Uploaded Images

Published:2023 Issue: Volume: Page:164-176
ISSN:0302-9743
Container-title:MultiMedia Modeling
language:
Short-container-title:

Author:

Dang-Nguyen Duc-Tien,Sjøen Vegard Velle,Le Dinh-Hai,Dao Thien-Phu,Tran Anh-Duy,Tran Minh-Triet

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-27818-1_14

Reference22 articles.

1. Acker, A.: Data craft: the manipulation of social media metadata. Data Soc. Res Institute 13 (2018)

2. Beaver, D., Kumar, S., Li, H.C., Sobel, J., Vajgel, P.: Finding a needle in haystack: Facebook’s photo storage. In: 9th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2010) (2010)

3. Ben-Yair, S.: Updating google photos’ storage policy to build for the future (2020). https://blog.google/products/photos/storage-changes/

4. Bharati, A., et al.: Beyond pixels: image provenance analysis leveraging metadata. In: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 1692–1702. IEEE (2019)

5. Broz, M.: Number of photos (2022): Statistics, facts, & predictions (2022). https://photutorial.com/photos-statistics/

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Empirical Study of Photo Naming Conventions across Popular Social Media Platforms;Proceedings of the 1st Workshop on Security-Centric Strategies for Combating Information Disorder;2024-07

2. An Innovative Tool for Uploading/Scraping Large Image Datasets on Social Networks;2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE);2023-10-25