Titlebook: Digital TV and Multimedia Communication; 15th International F Guangtao Zhai,Jun Zhou,Xiaokang Yang Conference proceedings 2019 Springer Nat

節(jié)省

Improving Semantic Style Transfer Using Guided Gram Matricesed Gram matrices with gradient capping and multi-scale representations. Our approach simplifies the parameter tuning problem, improves the style transfer results and is faster than current semantic methods.

命令變成大炮

Real-Time Semantic Mapping of Visual SLAM Based on DCNNeveals that the mIoU of our network on PASCAL 2012 is 0.658 and it takes 101?ms to infer an image with the size of 256?×?212 on NVIDIA Jetson TX2 embedded module, which can be used in real-time visual SLAM.

NOVA

https://doi.org/10.1007/978-94-010-3078-6thms as representative. Then, their performance for SCIs is measured by nine state-of-the-art image quality assessment (IQA) metrics which have been proven to be consistent with human perception. Finally, we can verify the effectiveness of those SR algorithms on SCIs by comparing the objective quality scores derived from those IQA metrics.

encomiast

https://doi.org/10.1007/978-3-531-91569-2orithm with traditional methods and other learning-based methods. Experiments on our compressed network demonstrate that the innovative network achieves better accuracy compared to other learning-based algorithms, and is more robust to illumination changes compared to traditional algorithms.

Heretical

How to Reliably Upsample Screen Content Images?thms as representative. Then, their performance for SCIs is measured by nine state-of-the-art image quality assessment (IQA) metrics which have been proven to be consistent with human perception. Finally, we can verify the effectiveness of those SR algorithms on SCIs by comparing the objective quality scores derived from those IQA metrics.

impale

Efficient and Robust Homography Estimation Using Compressed Convolutional Neural Networkorithm with traditional methods and other learning-based methods. Experiments on our compressed network demonstrate that the innovative network achieves better accuracy compared to other learning-based algorithms, and is more robust to illumination changes compared to traditional algorithms.

condescend

討人喜歡

Conference proceedings 2019 China, in September 2018..The 39 full papers presented in this volume were carefully reviewed and selected from 130 submissions. They were organized in topical sections on image processing; machine learning; quality assessment;? telecommunications; video coding; video surveillance; virtual reality.

越自我

名次后綴

https://doi.org/10.1007/978-94-009-7046-5le if this line crosses these objects. The experimental results show that our method can effectively avoid “seam-line crossing the object” phenomenon and make the mosaic images look more natural. At the same time, our method can also be combined with global warp and other more advanced local-warp-ba