• Neelam S.Labhade
• Dr. Parul S. Arora
• Dr. Yogesh Kumar Sharma

This paper describes different types of Neural Network, its various characteristics and applications. The processing of neural network is similar to human brain and it is composed of huge number of interconnected elements (neurons) which are under processing. The problem is solved in parallel manner. Neural networks are nothing but combination of artificial and real things, alternate meaning is the computer aided modeling and nervous system (Human brain).neural networks have features to extract information from imprecise and complicated data, to get patterns, to detect trends that are complex to human brain and computer technology. A good neural network is expert in to analyse complex data. One of the use of neural network is used in video processing, video recognition, to extract the features from video, live steaming and video uploading and downloading and depends on application the type of neural network will be selected such as Artificial Neural Network (ANN), Recurrent Neural Network (RNN), Convolutional Neural Network (CNN), Feed Forward Network (FFN).

Neural Network, Artificial Neural Network (ANN), Recurrent Neural Network (RNN), Convolutional Neural Network (CNN), Feed Forward Network (FFN).

"STUDY OF NEURAL NETWORKS IN VIDEO PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.330-335, March-2019, Available :http://www.jetir.org/papers/JETIRAH06057.pdf

"STUDY OF NEURAL NETWORKS IN VIDEO PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp330-335, March-2019, Available at : http://www.jetir.org/papers/JETIRAH06057.pdf