Abstract
Video Compression (VC) is a painstaking investigation area in the modernization of digital existence because of more evolution being emerged in web relevance. In this direction, video compression is grown-up rapdily and confirmed by the large number of myriad applications in Video streaming, Computer Vision like Video Tampering Detection, Video Surveillance and Camera Moving etc., which collectively use of this compression technology. This paper attributes / opens-up / endeavours the whole possible and recent research directions and its challenges by focusing the potential investigations on compression domain of MPEG, H.264, H.265 compression coding standard with latest computing techniques in learning videos via Machine Learning.
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Abdul Kader Nihal, K. N. (2019). Research inferences in video compression domain. International Journal of Engineering and Advanced Technology, 8(6), 3659–3665. https://doi.org/10.35940/ijeat.F9370.088619
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