MOTION ESTIMATION AND CONVOLUTIONAL CODING FOR VIDEO STREAMING OVER WIRELESS CHANNELS

Abstract

In this paper, a source and channel coding scheme is proposed for lossy video transmission over wireless channels. The source coding is used to reduce the redundancy so that the bit streams/video can be stored or sent efficiently over a network. The block-Matching (BM) with Quintet Search (QS) algorithm for motion estimation (ME) uses as a source coding or video compression technique. In the new QS algorithm, the number of searching points is reduced to five points instead of eight points in standard algorithm. The channel/convolutional coding (CC) adds useful redundancy to combat channel effects of the wireless environments and improve the system performance. The results of compression using different searching algorithms and different settings of the H.261 encoder parameters are computed for different videos with 176×144 dimension to select the proper settings that can be applied to the input video streams being transmitted over wireless links. The results show that the proposed system can produce a balance between the compression performance and preserving the video quality in video conference applications. Further, the performance of coded systems over additive white Gaussian Noise (AWGN) channels is also computed and compared with the system without channel coding.