TRANSFORMS FOR THE DISPARITY-COMPENSATED PREDICTION RESIDUALS

Date

2014-04-25

Author

Karasoy, Burcu
Kamışlı, Fatih

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Previous research indicates that motion-compensated prediction residuals can have 1-D (dimensional) structures in many regions and that 1-D directional transforms can compress such regions more efficiently than 2-D Discrete Cosine Transform (DCT). In this paper, 1-D transforms are also used for the compression of disparity-compensated prediction residuals based on analysis results, which indicate that disparity-compensated prediction residuals also have 1-D structures in many regions. To show the achievable compression efficiency gains from using these transforms, JMVC reference software is modified so that each residual block can be transformed either with a 1-D transform or 2-D DCT. Experimental results indicate that the overall compression efficiency increases.

Subject Keywords

Video coding, Disparity-compensated prediction residual, Discrete cosine transform

URI

https://hdl.handle.net/11511/53383

Conference Name

22nd IEEE Signal Processing and Communications Applications Conference (SIU)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

B. Karasoy and F. Kamışlı, “TRANSFORMS FOR THE DISPARITY-COMPENSATED PREDICTION RESIDUALS,” presented at the 22nd IEEE Signal Processing and Communications Applications Conference (SIU), Karadeniz Teknik Univ, Trabzon, TURKEY, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53383.