Video Dimension Reduction and Coding using Multiple Tensor Rank-R Decomposition

摘要：

In this paper, we propose a dimension reduction algorithm for video coding based on tensor decomposition. Our Multiple Tensor Rank-R Decomposition (MTRD) algorithm uses rank-R tensors to repeatedly approximate the high dimensional video data, so that the dimension of the data can be greatly reduced. Through quantifying and coding these tensor decomposition coefficients, we can achieve a better video quality with the same compression ratio as H.264/AVC. In particular, we find that our method can implement a high-quality coding at a very low bit-rate for a class of videos with regular texture.

关键词： tensor decomposition dimension reduction video coding low bit-rate computational complexity

作者: Bingyin Zhou Fan Zhang Lizhong Peng

作者单位: School of Mathematics and Information Sciences Hebei Normal University Hebei 050016, China School of Mathematical SciencesPeking University Beijing 100871, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 340-344

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）