Special Report, Sports, Americas

[rezkaesold]

The talent in the team is unquestionable, a good mixture of youth and experience with a lot of players coming off very successful seasons with their clubs and should be full of confidence. The key player for me is the Juventus midfielder Paul Pogba. He has already been a key player for Juventus since his move from Manchester United in 2012, but haven't yet reached the same level for his country. If he performs at his best, France can win this summer. This relatively small country has a great record in qualifying to the big tournaments. The only major championship they have missed out since 2004 was the Euros in 2012, and they progressed from the group stages in Brazil 2014 only to be knocked out by Argentina. They have an experienced, hard working team and Switzerland will be very hard to beat. Defensively very tight, led by veterans Johann Djourou and Stephan Lichtsteiner they kept five clean sheet in their qualifying group.|Conventional video compression (VC) methods are based on motion compensated transform coding, and the steps of motion estimation, mode and quantization parameter selection, and entropy coding are optimized individually due to the combinatorial nature of the end-to-end optimization problem. Learned VC allows end-to-end rate-distortion (R-D) optimized training of nonlinear transform, motion and entropy model simultaneously. Most works on learned VC consider end-to-end optimization of a sequential video codec based on R-D loss averaged over pairs of successive frames. It is well-known in conventional VC that hierarchical, bi-directional coding outperforms sequential compression because of its ability to use both past and future reference frames. This paper proposes a learned hierarchical bi-directional video codec (LHBDC) that combines the benefits of hierarchical motion-compensated prediction and end-to-end optimization. Experimental results show that we achieve the best R-D results that are reported for learned VC schemes to date in both PSNR and MS-SSIM. Compared to conventional video codecs, the R-D performance of our end-to-end optimized codec outperforms those of both x265 and SVT-HEVC encoders (“veryslow” preset) in PSNR and MS-SSIM as well as HM 16.23 reference software in MS-SSIM.




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[wangiskahn2]

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