Abstract
Video compression standards follow certain principles for frame identification based on group of pictures (GOP). It was observed that instead of following the precoded GOP, if frames are adaptively chosen based on simple matching criteria, further processing could be effectively done. It was also noted from the earlier techniques that the presence of B-frames leads to buffering of the memory within the past and future frames during the coding stage. The computational time increases with more number of B-frames. Hence, a novel framework has been emphasized in the present investigation firstly for adaptive frame identification and secondly for replacing B-frames with either I-frames or P-frames using NSEW affine translation for the purpose of video compression. The result shows that the performance objective evaluation coincides with the subjective evaluation.
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Dolly, D.R.J., Bala, G.J., Peter, J.D. (2015). Automatic Adaptation of Frames Using NSEW Affine Translation. In: Rajsingh, E., Bhojan, A., Peter, J. (eds) Informatics and Communication Technologies for Societal Development. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1916-3_14
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DOI: https://doi.org/10.1007/978-81-322-1916-3_14
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