Article citationsMore>>

Nguyen, T., Helle, P., Winken, M., Bross, B., Marpe, D., Schwarz, H. and Wiegand, T. (2013) Transform Coding Techniques in HEVC. IEEE Journal of Selected Topics in Signal Processing, 7, 978-989.

has been cited by the following article:

• TITLE: Enhanced Adaptive Approach of Video Coding at Very Low Bit Rate Using MSPIHT Algorithm

  AUTHORS: C. Ravichandran, N. Malmurugan

  KEYWORDS: Video Coding, H.264 Standard, Empirical Wavelet Transform, Partition, SPIHT, HBLPCE

  JOURNAL NAME: Circuits and Systems, Vol.7 No.8, June 7, 2016

  ABSTRACT: Nowadays video coding approach is a major key in many applications for easy transmission and storage consumption. The process of transformation is based on the empirical wavelet transform (EWT). The encoding process of video data provides secure and less consumption of storage and the reconstruction process consists of the reverse process with the extraction. In this paper, the coding of video is carried out at a very low bit rate with the enhancement of performance by proposing an approach of modified Set Partitioning in Hierarchical Tree (MSPIHT). This method encodes the high frequency frames with the scheduling of wavelet transform for efficient performances of encoding and improves the ability of both the frequency and time. By applying empirical wavelet transform on each video frame, the component of video frequency is extracted and thelow frequency frame is encoded by the H.264/AVC standard. The low coefficient values are ignored in applying the threshold and in the reconstruction process, HBLPCE method is used forimagingenhancement. The simulation of the proposed approach analysis shows better performance in reliable process and efficiency when compared to existing.