Download PDFOpen PDF in browserEffective Flicker Detection Technique Using Artificial Neural Network For Video9 pages•Published: August 5, 2017AbstractFlicker is the most common and an intolerable blemish present in signal processing world that leads to distortion in the transmitted frame of a video string. To dodge such misinterpretations a technique for detection of the flickering frame in a video is depicted in this research. Earlier methods were based on removing flicker by calculating the threshold of the consecutive frame difference and then finding the flickering frame. The proposed method in this research includes finding flickering frame using neural network concept. Therefore, the advantage of the practice disclosed here is that it removes the tedious calculation part of the threshold value and thereby the computational part becomes easier with added accurate result.Keyphrases: discrete cosine transform, frame difference, neural network, temporal smoothing In: Ajitkumar Shukla, J. M. Patel, P. D. Solanki, K. B. Judal, R. K. Shukla, R. A. Thakkar, N. P. Gajjar, N. J. Kothari, Sukanta Saha, S. K. Joshi, Sanjay R. Joshi, Pranav Darji, Sanjay Dambhare, Bhupendra R. Parekh, P. M. George, Amit M. Trivedi, T. D. Pawar, Mehul B. Shah, Vinay J. Patel, Mehfuza S. Holia, Rashesh P. Mehta, Jagdish M. Rathod, Bhargav C. Goradiya and Dharita K. Patel (editors). ICRISET2017. International Conference on Research and Innovations in Science, Engineering and Technology. Selected Papers in Engineering, vol 1, pages 442-450.
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