Name
Title | ||
|---|---|---|
Improved entropy coding for quantized transform coefficients in HEVC screen content coding |
Abstract | ||
|---|---|---|
In the emerging high efficiency video coding (HEVC) standard, a Golomb-Rice code is adopted to binarize level information. The Golomb-Rice code is optimal for encoding symbols with the exponential probability distribution. In general, quantized transform coefficients of natural images show the exponential probability distribution. However, screen contents usually have a totally different probability distribution, and the Golomb-Rice code is not appropriate for screen content coding. In this paper, we focus on a new entropy coding scheme for screen content coding. In the proposed scheme, we clip inefficient high magnitude coefficient levels that do not fit the exponential probability distribution. Then, we apply a limited length Golomb-Rice code to binarize clipped levels. From experimental results, it is verified that the proposed method achieves on average 0.60 % BD-rate saving and up to 1.13 % BD-rate saving, compared to HEVC screen content coding. When the proposed method is combined with a well-known screen content coding technique, transform skipping, it shows up to 24.02 % BD-rate saving. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/s11760-013-0542-2 | Signal, Image and Video Processing |
Keywords | Field | DocType |
High efficiency video coding (HEVC), Screen content coding, Context-based adaptive binary arithmetic coding (CABAC), Level coding, Golomb-Rice code | Tunstall coding,Entropy encoding,Coding tree unit,Pattern recognition,Huffman coding,Artificial intelligence,Shannon–Fano coding,Arithmetic coding,Mathematics,Context-adaptive binary arithmetic coding,Variable-length code | Journal |
Volume | Issue | ISSN |
9 | 5 | 1863-1711 |
Citations | PageRank | References |
1 | 0.41 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jung-Ah Choi | 1 | 18 | 3.88 |
| Yo-Sung Ho | 2 | 1288 | 146.57 |