Fanman Meng

TL;DR: A fast pyramid motion divergence (PMD) based CU selection algorithm is presented for HEVC inter prediction and theoretical analysis shows that PMD can be used to help selecting CU size.

TL;DR: A comprehensive review of the recent progress in image segmentation, covering 190 publications, gives an overview of broad segmentation topics including not only the classic unsupervised methods, but also the recent weakly-/semi- supervised methods and the fully-super supervised methods.

TL;DR: A comprehensive review of the recent progress in image segmentation can be found in this article, where the authors give an overview of broad areas of segmentation topics including not only the classic bottom-up approaches, but also the recent development in superpixel, interactive methods, object proposals, semantic image parsing and image cosegmentation.

TL;DR: Experimental results on three publicly available databases show that the proposedBIQA algorithm is highly consistent with human perception and outperforms many representative BIQA metrics.

TL;DR: This paper proposes a new model that efficiently segments common objects from multiple images by segmenting each original image into a number of local regions based on local region similarities and saliency maps and uses the dynamic programming method to solve the co-segmentation problem.