Abstract
The scalable extension of HEVC (known as SHVC), uses Inter-layer predictions with multiple HEVC layers in addition to the advanced coding tools of HEVC, which causes huge computational complexity. One of the main reasons that result in the SHVC encoder complexity is selecting the best coding unit (CU) depth level. This paper aims to develop a complexity reduction scheme for CU depth prediction and CU partitioning termination of Quality SHVC. In this regard, first, the CU depth correlation degree is used to predict the most probable depths. Then, a hypothesis testing for the residuals distribution of current CU is introduced to terminate the depth selection early. Experimental results demonstrate that the proposed scheme significantly reduces the enhancement layer (EL) execution time of SHVC encoder by 58.19% on average compared with unmodified SHVC encoder while maintaining the overall coding efficiency.
This work is supported by the National Natural Science Foundation of China (No. 61571071) and Nature Science Foundation Project of Chongqing (No. cstc2016jcyjA0543 and No. cstc2017jcyjXB0037).
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Liu, B., Li, Q., Song, J. (2018). An Efficient Complexity Reduction Scheme for CU Partitioning in Quality Scalable HEVC. In: Hong, R., Cheng, WH., Yamasaki, T., Wang, M., Ngo, CW. (eds) Advances in Multimedia Information Processing – PCM 2018. PCM 2018. Lecture Notes in Computer Science(), vol 11166. Springer, Cham. https://doi.org/10.1007/978-3-030-00764-5_48
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