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Role of Deep Learning in Image and Video Processing
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Author(s): Alageswaran Ramaiah (SASTRA University (Deemed), India), Arun K. S. (Accenture, Australia), Yathishan D. (SASTRA University (Deemed), India), Sriram J. (SASTRA University (Deemed), India)and Palanivel S. (SASTRA University (Deemed), India)
Copyright: 2023
Pages: 17
Source title:
Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era
Source Author(s)/Editor(s): A. Srinivasan (SASTRA University (Deemed), India)
DOI: 10.4018/978-1-7998-8892-5.ch007
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Abstract
Image and video processing research is becoming an important area in the field of computer vision. There are challenges such as low-resolution images, poor quality of videos, etc. in image and video data processing. Deep learning is a machine learning technique used in the creation of AI systems. It is designed to analyse complex data by passing it through many layers of neurons. Deep learning techniques have the potential to produce cutting-edge results in difficult computer vision problems such as object identification and face recognition. In this chapter, the use of deep learning to target specific functionality in the field of computer vision such as image recovery, video classification, etc. The deep learning algorithms, such as convolutional neural networks, deep neural network, and recurrent neural networks, used in the image and video processing domain are also explored.
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