Title :
Video compression with 1-D directional transforms in H.264/AVC
Author :
Kamisli, Fatih ; Lim, Jae S.
Author_Institution :
Res. Lab. of Electron., Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
Typically the same transforms, such as the 2-D Discrete Cosine Transform (DCT), are used to compress both images in image compression and prediction residuals in video compression. However, these two signals have different spatial characteristics. In, we analyzed the difference between these two signals and proposed 1-D directional transforms for prediction residuals. In this paper, we provide further experimental results using these transforms in the H.264/AVC codec and present other related information which can provide insights in understanding the use of these transforms in video coding applications.
Keywords :
codecs; data compression; discrete cosine transforms; motion compensation; video coding; 1-D directional transforms; 2-D discrete cosine transform; H.264/AVC; image compression; video coding; video compression; Anisotropic magnetoresistance; Automatic voltage control; Codecs; Discrete cosine transforms; Discrete transforms; Discrete wavelet transforms; Image coding; Video coding; Video compression; Wavelet transforms; Discrete cosine transforms; Motion compensation; Video coding;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495034