Title :
Multi-view video codec with fractal coding
Author :
Shiping Zhu ; Liyun Li
Author_Institution :
Dept. of Meas. Control & Inf. Technol., Beihang Univ., Beijing, China
Abstract :
The original data of one view video is huge and that of multi-view video is much more. So, data compression is important for multi-views, and data compression is a key technology for multi-views. In this paper, we explore an efficient fractal video codec with multi-views. From the experimental results with the proposed method and other state of the art methods, we can conclude that the proposed algorithm for multi-view coding is robust, and provides less encoding time and high compression ratio while maintaining good compression quality.
Keywords :
data compression; encoding; fractals; video codecs; video coding; compression ratio; data compression; fractal coding; fractal video codec; multiview coding; multiview video codec; Encoding; Fractals; Image coding; Motion estimation; PSNR; Prediction algorithms; Video coding; deblocking loop filter; disparity estimation; fractal video coding; multi-views; temporal-spatial prediction structure;
Conference_Titel :
Imaging Systems and Techniques (IST), 2013 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-5790-6
DOI :
10.1109/IST.2013.6729720
