2025, Vol. 7, Issue 1, Part B
Comparative analysis of spatial filtering and temporal filtering in convolutional neural networks
Author(s): Onkar Tiwari, Krishan Kumar, Anurag Tiwari and Pinki Sharma
Abstract: Convolutional neural networks, or CNNs, have transformed machine learning, especially in the interpretation of images and videos. CNNs use spatial filtering to extract static features from images, while temporal filtering allows them to also extract dynamic data, like video sequences. Spatial and temporal filtering are compared in this research, which also examines their theoretical foundations, applications, advantages, disadvantages, and use cases. By contrasting different filtering mechanisms, we hope to shed light on their uses and help researchers choose the best filtering methods for a range of tasks.
DOI: 10.33545/26633582.2025.v7.i1b.167Pages: 119-123 | Views: 351 | Downloads: 224Download Full Article: Click Here
How to cite this article:
Onkar Tiwari, Krishan Kumar, Anurag Tiwari, Pinki Sharma.
Comparative analysis of spatial filtering and temporal filtering in convolutional neural networks. Int J Eng Comput Sci 2025;7(1):119-123. DOI:
10.33545/26633582.2025.v7.i1b.167
Research Journals