Name
Abstract | ||
|---|---|---|
A maximum magnitude probability (MMP) model is introduced in this paper to study contributions of individual DCT coefficient to the all-zero block (AZB) detection. Based on the MMP model, an efficient AZB detection algorithm is proposed to reduce the overall computation complexity. The new method is further combined with a recently published multi-threshold method [6] to achieve an adaptive detection of all-zero DCT sub-blocks. Experiment results show that the proposed algorithm can achieve a remarkable reduction of computational complexity from the original H.264 encoder with minor PSNR loss. Some comparison with similar lossy encoding schemes is also presented. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISCAS.2008.4542210 | ISCAS |
Keywords | Field | DocType |
h.264 integer transform,all-zero block detection algorithm,maximum magnitude probability model,discrete cosine transforms,video coding,mathematical model,quadratic programming,moon,psnr,computational complexity,encoding,quantization | Lossy compression,Computer science,Discrete cosine transform,Algorithm,Encoder,Quadratic programming,Quantization (signal processing),Integer transform,Encoding (memory),Computational complexity theory | Conference |
ISSN | ISBN | Citations |
0271-4302 | 978-1-4244-1684-4 | 0 |
PageRank | References | Authors |
0.34 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tianxiao Ye | 1 | 0 | 1.01 |
| Yap-Peng Tan | 2 | 2429 | 145.46 |
| Ping Xue | 3 | 0 | 0.34 |