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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 9, 2019.
Abstract: Modified seam carving by switching from the conventional method to resizing method depending on the object size is proposed. When the object size is dominant in the scene of interest, the conventional seam carving shows deformation of components in the object. To avoid the situation, resizing method is applied rather than the conventional seam carving in the proposed method. Also, the method for video data compression based on the seam carving not only in image space domain but also in time domain is proposed. It is specific feature that original quality of video picture can be displayed when it is replayed. Using frame to frame similarity defined with histograms distance between the neighboring frames, frames which have great similarity can be carved results in data is compressed in time domain. Moreover, such carved frame can be recorded in the frame header so that the carved frame can be recovered in reproducing the compressed video. Thus, video quality can be maintained, no degradation of video quality at all. Compression ratio is assessed with the several video data. It is obvious that data compression ratio of the proposed space and time domain seam carving is greater than that of the conventional space domain seam carving.
Kohei Arai, “Modified Seam Carving by Changing Resizing Depending on the Object Size in Time and Space Domains” International Journal of Advanced Computer Science and Applications(IJACSA), 10(9), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100919
@article{Arai2019,
title = {Modified Seam Carving by Changing Resizing Depending on the Object Size in Time and Space Domains},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100919},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100919},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {9},
author = {Kohei Arai}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.