Name
Abstract | ||
|---|---|---|
HEVC HM 16 includes a Coding Unit (CU) level perceptual quantization technique named AdaptiveQP. AdaptiveQP adjusts the Quantization Parameter (QP) at the CU level based on the spatial activity of samples in the four constituent N×N sub-blocks of the luma Coding Block (CB), which is contained within a 2N×2N CU. In this paper, we propose C-BAQ, which, in contrast to AdaptiveQP, adjusts the CU level QP according to the spatial activity of samples in the four constituent N×N sub-blocks of both the luma and chroma CBs. By computing the sum of luma, chroma Cb and chroma Cr spatial activity in a CU, a richer reflection of spatial activity in the CU is attained. Therefore, a more appropriate CU level QP can be selected, thus leading to important improvements in terms of coding efficiency. We evaluate the proposed technique in HEVC HM 16.7 using 4:4:4, 4:2:2 and 4:2:0 YCbCr sequences. Both subjective and objective evaluations are undertaken during which we compare C-BAQ with AdaptiveQP. The objective evaluation reveals that C-BAQ attains a maximum BD-Rate reduction of 15.9% (Y), 13.1% (Cr) and 16.1% (Cb) in addition to a maximum decoding time reduction of 11.0%. |
Year | Venue | Field |
|---|---|---|
2016 | arXiv: Multimedia | Computer vision,YCbCr,Coding block,Algorithmic efficiency,Computer science,Coding (social sciences),Artificial intelligence,Decoding methods,Quantization (signal processing),Luma |
DocType | Volume | Citations |
Journal | abs/1609.06302 | 0 |
PageRank | References | Authors |
0.34 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lee Prangnell | 1 | 0 | 1.69 |
| Victor Sanchez | 2 | 144 | 31.22 |