Abstract
The complexity of inter-frame prediction is increasing in the new generation video standard AVS2 by introducing the technology of quad-tree division. To solve the problem, a fast inter-frame prediction algorithm based on mode complexity is proposed which consists of prediction mode decision and reference frame selection. Since there is a strong correlation between CU and its optimal referenced block, information of the optimal referenced block can be utilized to measure the mode complexity of the current CU so as to make an early termination for prediction modes. Meanwhile, based on a bottom-to-up visiting structure in the quad-tree of AVS2, the reference information of sub-CUs can be extracted to distribute the appropriate candidates of reference frame for the current CU. Experimental results show that, the proposed algorithm can reduce the coding time by 44.29% on average, with a 2.03% increase of Bjontegaard delta bit rate (BD-Rate) and a 0.07 dB decrease of Bjontegaard delta peak signal-to-noise rate (BD-PSNR).
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Acknowledgment
This work is supported by National Science Foundation of China under Grant No. 61271212. National High-tech R&D Program (863 Program) under Grant No. 2015AA015903.
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Chen, F., Li, G., Wang, G., Zhao, H. (2017). A Fast Inter-frame Prediction Algorithm for AVS2 Based on Mode Complexity. In: Yang, X., Zhai, G. (eds) Digital TV and Wireless Multimedia Communication. IFTC 2016. Communications in Computer and Information Science, vol 685. Springer, Singapore. https://doi.org/10.1007/978-981-10-4211-9_32
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DOI: https://doi.org/10.1007/978-981-10-4211-9_32
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