Skip/direct mode is one of the inter prediction modes in video coding, which achieves a high coding performance. In Audio and Video coding Standard-3(AVS3), skip/direct has improved more performance with more candidate modes. The candidate mode list is generated by numerous prediction directions with corresponded predicted motion vectors. However, it will result in higher computation complexities and challenges to parallel computation, especially for the hardware implementation. For resolving the problem, we propose a hardware architecture of skip/direct mode with a fast motion vector prediction (MVP) algorithm in this paper. Our architecture is designed with efficient pipeline schedules. And the fast MVP algorithm can reduce the number of MVP candidates efficiently. The fast MVP method is introduced by setting a search window, some unnecessary MVP are skipped, thereby reducing the computational complexity firstly. Then the proposed hardware architecture is given with efficient pipeline schedules in detail. The experimental results show that our architecture is able to meet the requirement of 3840x2160@60FPS with only 0.48% and 0.42% BD-Rate increase under the low delay P (LDP) and random access (RA) configurations, respectively.
Rate-distortion optimized quantization (RDOQ) is an important technique in the video coding standard, which effectively improves encoding efficiency. However, the large compute complexity and the strong data dependency in the RDOQ calculation process limit the real-time encoding in hardware design. In this paper, a fast RDOQ algorithm is proposed, which includes the RDOQ skip algorithm and the optimized rate estimation algorithm. Firstly, by detecting the Pseudo all-zero block (PZB) in advance, some unnecessary RDOQ processes are skipped, thereby reducing the computational complexity. Secondly, by optimizing the elements used in rate estimation of the RDOQ process, the strong data dependency of the process is alleviated, which allows RDOQ to be executed in parallel. Experimental results show that the proposed algorithm reduces 27.6% and 30.6% encoding time with only average 0.3% and 0.1% BD-rate performance loss under low delay P and random access configurations on the HPM-4.0.1 of AVS3, respectively.
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