Video compression with 1-D directional transforms in H.264/AVC
Author(s)Kamisli, Fatih; Lim, Jae S.
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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.
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Research Laboratory of Electronics
2010 IEEE International Conference on Acoustics Speech and Signal Processing
Institute of Electrical and Electronics Engineers (IEEE)
Kamisli, Fatih, and Jae S. Lim. “Video Compression with 1-D Directional Transforms in H.264/AVC.” IEEE International Conference on Acoustics Speech and Signal Processing, 2010. 738–741. © Copyright 2010 IEEE
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