A Robust Algorithm for Detecting Web Content Changes Using Keypoint Matching

Author:

Haider Zeeshan,Azar Ahmad Taher,Kamal Nashwa Ahmad

Publisher

Springer Nature Singapore

Reference29 articles.

1. Anter, A.M., Azar, A.T., Hassanien, A.E., El-Bendary, N., ElSoud, M.A.: Automatic computer aided segmentation for liver and hepatic lesions using hybrid segmentations techniques. In: Federated Conference on Computer Science and Information Systems (FedCSIS 2013). IEEE (Sbmitted, 2013)

2. Augusto Borges Oliveira, D., Palhares Viana, M.: Fast CNN-based document layout analysis. In: Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 1173–1180 (2017)

3. Barroso-Laguna, A., Riba, E., Ponsa, D., Mikolajczyk, K.: Key. net: keypoint detection by handcrafted and learned CNN filters. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 5836–5844 (2019)

4. Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: Speeded-up robust features (SURF). Comput. Vis. Image Understand. 110(3), 346–359 (2008)

5. ChangeDetect: Changedetect web page monitoring. ChangeDetect. Retrieved from 24 Mar 2017

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