Effective optimization of video transmission in WLAN

Abstract

The prevalence of high-definition (HD) cameras, televisions, Blu-Ray players, and DVD recorders means that almost all video content is now captured and recorded digitally and much of it in HD. MPEG-2, H.264/AVC, and VC-1 are the most popular codecs in use today, and these rely on decorrelating transforms, motion estimation, intra prediction, and variable-length entropy coding (VLC) to achieve good picture quality at high compression ratios. Alongside the need for efficient video compression, there is a critical requirement for error resilience, in particular in association with wireless networks which are characterized by highly dynamic variations in error rate and bandwidth. Compression techniques based on prediction and variable-length coding render an encoded bit stream highly sensitive to channel errors. In the paper, techniques such as pyramid vector quantization (PVQ) have been implemented for increasing the ability to prevent error propagation through the use of fixed-length codeword in the Wireless Environment. In the paper, frame performance of the video has been observed in the pyramid vector section which offers greater compression performance in various techniques.