Optimizing the Hierarchical Prediction and Coding in HEVC for   Surveillance and Conference Videos With Background Modeling

doi:10.1109/TIP.2014.2352036

CORC > 北京大学 > 信息科学技术学院

	Optimizing the Hierarchical Prediction and Coding in HEVC for Surveillance and Conference Videos With Background Modeling
	Zhang, Xianguo ; Tian, Yonghong ; Huang, Tiejun ; Dong, Siwei ; Gao, Wen
刊名	ieee transactions on image processing
	2014
关键词	HEVC hierarchical prediction surveillance videos conference videos background modeling CU classification H.264/AVC STANDARD
DOI	10.1109/TIP.2014.2352036
英文摘要	For the real-time and low-delay video surveillance and teleconferencing applications, the newly video coding standard HEVC can achieve much higher coding efficiency over H. 264/AVC. However, we still argue that the hierarchical prediction structure in the HEVC low-delay encoder still does not fully utilize the special characteristics of surveillance and conference videos that are usually captured by stationary cameras. In this case, the background picture (G-picture), which is modeled from the original input frames, can be used to further improve the HEVC low-delay coding efficiency meanwhile reducing the complexity. Therefore, we propose an optimization method for the hierarchical prediction and coding in HEVC for these videos with background modeling. First, several experimental and theoretical analyses are conducted on how to utilize the G-picture to optimize the hierarchical prediction structure and hierarchical quantization. Following these results, we propose to encode the G-picture as the long-term reference frame to improve the background prediction, and then present a G-picture-based bit-allocation algorithm to increase the coding efficiency. Meanwhile, according to the proportions of background and foreground pixels in coding units (CUs), an adaptive speed-up algorithm is developed to classify each CU into different categories and then adopt different speed-up strategies to reduce the encoding complexity. To evaluate the performance, extensive experiments are performed on the HEVC test model. Results show our method can averagely save 39.09% bits and reduce the encoding complexity by 43.63% on surveillance videos, whereas those are 5.27% and 43.68% on conference videos.; Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic; SCI(E); EI; 0; ARTICLE; zxgvideo@gmail.com; yhtian@pku.edu.cn; tjhuang@pku.edu.cn; dosdong@pku.edu.cn; wgao@pku.edu.cn; 10; 4511-4526; 23
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/152000]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhang, Xianguo,Tian, Yonghong,Huang, Tiejun,et al. Optimizing the Hierarchical Prediction and Coding in HEVC for Surveillance and Conference Videos With Background Modeling[J]. ieee transactions on image processing,2014.
APA	Zhang, Xianguo,Tian, Yonghong,Huang, Tiejun,Dong, Siwei,&Gao, Wen.(2014).Optimizing the Hierarchical Prediction and Coding in HEVC for Surveillance and Conference Videos With Background Modeling.ieee transactions on image processing.
MLA	Zhang, Xianguo,et al."Optimizing the Hierarchical Prediction and Coding in HEVC for Surveillance and Conference Videos With Background Modeling".ieee transactions on image processing (2014).