Abstract
This paper presents an efficient zero block early detection method to accelerate Rate Distortion Optimized Quantization (RDOQ) for High Efficiency Video Coding (HEVC). RDOQ brings significant improvement of coding performance, but it results in high computational complexity to determine the best quantization levels with rate and distortion optimization operations. It is worthwhile to detect all-zero-quantized blocks before RDOQ since a lot of transform units are zero blocks after RDOQ process. In this paper, we analyze the transform coefficients characteristics in zero blocks firstly. And then, the relationship among the zero block detection thresholds, transform unit sizes and quantization parameters is studied. An adaptive zero block detection model is designed to speed up RDOQ process. Experimental results show that the proposed method achieves 44.10% and 41.68% quantization time saving with only average 0.16% and 0.01% BD-Rate loss under random access and low delay configuration, respectively.
Original language | English |
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Title of host publication | Proceedings : 2017 IEEE 3rd International Conference on Multimedia Big Data, BigMM 2017 |
Publisher | IEEE |
Pages | 90-93 |
Number of pages | 4 |
ISBN (Electronic) | 9781509065493 |
DOIs | |
Publication status | Published - 30 Jun 2017 |
Externally published | Yes |
Event | 3rd IEEE International Conference on Multimedia Big Data, BigMM 2017 - Laguna Hills, United States Duration: 19 Apr 2017 → 21 Apr 2017 |
Conference
Conference | 3rd IEEE International Conference on Multimedia Big Data, BigMM 2017 |
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Country/Territory | United States |
City | Laguna Hills |
Period | 19/04/17 → 21/04/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- HEVC
- HM
- Quantization Parameter
- RDOQ
- Transform Unit
- Zero Block