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Jayshree Dwivedi, Pragya Rajput
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- Assistant Professor, Assistant Professor, Department of Computer Science Engineering, CIST, Bhopal, Department of Computer Science Engineering, CIST, Bhopal, Madhya Pradesh, Madhya Pradesh, India, India
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Abstract
nThe fast-developing field of computer vision is transforming how people perceive and comprehend pictures and movies. Autonomous systems, robotics, healthcare, and surveillance are just a few of the many applications that have been made possible by recent significant advances in image and video processing. An overview of current developments in computer vision approaches, algorithms, and techniques for image and video analysis is given in this abstract. In conclusion, the analysis of images and videos has advanced significantly in the field of computer vision. Recurrent neural networks (RNNs) and CNNs are two examples of deep learning approaches that have been used to increase accuracy, robustness, and efficiency in a variety of applications. A richer understanding has resulted from the integration of semantic analysis with temporal and spatial data.
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Keywords: Image processing, CNN, GANs, machine learning, RNN
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References
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Journal of Image Processing & Pattern Recognition Progress
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| Volume | 11 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | January 25, 2024 | |
| Accepted | February 29, 2024 | |
| Published | April 3, 2024 |
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