Joint Adaptive GOP and SCD Coding for Improving H.264 Scalable Video Coding

In order to concurrently provide different video services for diverse access devices, the scalable quality and complexity services in a single bit stream offered by H.264-based scalable video coding (H.264/SVC) has gained a lot of attentions recently. However, the motion-compensated temporal filtering (MCTF) structure consumes a large amount of operation time when combined with Core Experiment 2 (CE2), which implements adaptive GOP detection (AGD). Besides, a simple scene change detection (SCD) method is required to decrease the mis-position motion estimation and yield robust AGD. In this paper, we suggest a video content variation (VCV) feature to implement simple AGD and SCD methods by using block-based classification before executing MCTF. Based on the JSVM 7.0 software, the simulation results show that the proposed method not only reduces about 67% of the operation time consumed but also improves about 0.1 dB PSNR on average as compared to the CE2, where the proposed SCD can attain a detection rate of 89% to help for performance improvement.