Design of a New Video Compression Algorithm using Accordion Function
Mitesh Shah1, Hetal Patel2
1Mitesh Shah, Department of ECE, A. D. Patel institute of Technology, New V. V. Nagar, Gujarat, India.
2Assoc. Prof. Hetal Patel, Department of ECE , A. D. Patel institute of Technology, New V. V. Nagar, Gujarat, India.
Manuscript received on May 05, 2013. | Revised Manuscript received on May 11, 2013. | Manuscript published on May 15, 2013. | PP: 40-43 | Volume-1 Issue-6, May 2013. | Retrieval Number: F0299051613/2013©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Among all multimedia applications, transmission of video frames requires large bandwidth and more bytes for storage. To reduce transmission bandwidth and storage memory, video compression is necessary. In this paper our focusing on reducing the storage space for video signal. The proposed technique compresses the video by reducing the spatial, spectral and temporal redundancies of the input video. The temporal redundancy is mainly depending on the co-relation between successive video frames. This redundancy was removed using Accordion function [1]. The accordion function converts the temporal redundancy into the spatial redundancy, which was removed using Discrete Cosine Transform (DCT). The Compression Ratio (CR) achieved for different real time videos was vary from 10 to 30. The CR was found more for those videos having less motion and vice- versa. The values of PSNR was found to be varied between 140 to 155 for different video inputs, while the MSE was varied between 0 to 2.5 for different video inputs.
Keywords: Accordion, Compression Ratio (CR), Peak Signal to Noise Ratio (PSNR), Mean Signal Error (MSE), Discrete Cosine Transform (DCT).