摘要
With the growth of digital video surveillance markets and requirements of high-quality surveillance data, an efficient video compression technique that is suitable for surveillance applications and is compatible with emerging coding standards (e.g., H.264) is required urgently. We propose multiple-priority region-of-interest H.264 video compression using constraint variable bitrate control for video surveillance. The proposed Multiple Moving region-of-interest (RoI) macroblock decision and an RoI-based Constraint Variable Bitrate Control, called MM-RoI-CVBC, are able to determine each macroblock (MB) coding priority and increase SNR of automatically or manually detected RoI. In comparison to H.264 JM fixed-quantization parameter coding, H.264 JM constant bitrate control, and other RoI coding algorithms, the proposed MM-RoI-CVBC method can obviously enhance the quality of RoI with less coding complexity in subject to target bits.
原文 | English |
---|---|
文章編號 | 047004 |
期刊 | Optical Engineering |
卷 | 48 |
發行號 | 4 |
DOIs | |
出版狀態 | Published - 2009 |
All Science Journal Classification (ASJC) codes
- 原子與分子物理與光學
- 一般工程