Title: A proficient wavelet-based video encoder through the motion estimation algorithm

Authors: S. Anantha Padmanabhan; S. Chandramathi

Addresses: Department of Electronics, SEA College of Engineering, Bangalore, Karnataka 560049, India ' Electrical Sciences, Hindusthan College of Engineering and Technology, Coimbatore 641032, Tamilnadu, India

Abstract: In several multimedia applications, image and video coding plays a significant role. In many applications, sceneries such as broadcast services over satellite and terrestrial channels, digital video storage, wires and wireless conversational services and digital video communication are used. It is not possible to store full digital video without processing. Video compression reduces the data used to represent digital video images and is a combination of spatial image compression and temporal motion compensation. The main aim of our research is to develop an efficient video compression system. The proposed system consists of three steps. At first, wavelet decomposition is applied to the I-frame and the resulting coefficients are quantised using the listless SPECK (LSK) algorithm. In the next step, motion estimation is done using adaptive rood search with the spatio-temporal correlation method (ARS-ST) and it calculates the distance between the P-frame and I-frame blocks. In the final step, the difference between the original and the predicted P-frame is evaluated and is known as residual. To produce good quality predictive frames, this residual is transmitted along with motion vectors (MVs) and to decrease its size, it is coded using LSK. The proposed video compression technique uses different videos for assessment and by determining the PSNR values, compression efficiency is estimated. By comparing the proposed system with existing systems, it is seen that our system effectively compresses videos with remarkable PSNR measurements.

Keywords: video compression; listless SPECK; LSK; motion estimation; ARS-ST; adaptive rood search; spatio-temporal correlation; motion vector prediction; wavelet based video encoders; multimedia applications; spatial image compression; temporal motion compensation; wavelet decomposition.

DOI: 10.1504/IJSISE.2013.056634

International Journal of Signal and Imaging Systems Engineering, 2013 Vol.6 No.4, pp.211 - 226

Received: 09 Mar 2011
Accepted: 09 Jan 2012
Published online: 30 Sep 2013 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article