I would like to take this opportunity to thank everyone who has helped to make Computational Visual Media a success in its third year of 2017.In particular,my thanks go to the authors,the reviewers,and the Editorial Board members,as well as the staff of Tsinghua University Press and Springer.Their combined efforts have helped to ensure that all four issues for 2017 were published on schedule.A total of 31 papers were published in 4 issues,including regular submitted papers and papers recommended by the CVM Conference,Paci fi c Graphics,and SIGGRAPH Asia.The acceptance rate for regular papers was 28.6%.

Following the success of the first two years,Tsinghua University Press has decided to sponsor an annual award for the best paper published in Computational Visual Media.After carefully considering the 31 papers published in 2017,the Editorial Board has chosen the paper:Robust camera pose estimation by viewpoint classification using deep learning[1]as the winner of the Best Paper Award,while four other papers:Joint head pose and facial landmark regression from depth images[2],Feature-aligned segmentation using correlation clustering[3],Editing smoke animation using a deforming grid[4],and EasySVM:A visual analysis approach for open-box support vector machines[5],have won the Honorable Mention Awards.

The Editorial Board,Tsinghua University Press,and Springer offer their congratulations to the winners,who in addition to the prestige conferred upon them by the award,will also share a cash prize of US$3000:the Best Paper will receive US$1000,and each Honorable Mention Paper will receive US$500.

We look forward to receiving further excellent papers in 2018,and selecting next year’s winners!

然后说说李唐，对，就是那位用一幅《采薇图》再现历史故事、颂扬民族气节、以笔为剑的“鲁迅式”画家。此人乃南宋山水新画风的代表，影响了整个南宋画派。据说李唐七十多岁画《万壑松风图》时，还能把里面的松针画得根根带尖儿且用笔遒劲，力透纸背——原来他就是传说中的细节控呀！画得兴起，末了还得“皮”一下：把题记写到山上去。李唐所作《雪窗读书图》构图新奇，画中有雪、有屋、有人读书，可最大的看点却是岩石！要知道李唐以一招“斧劈皴”绝技声名远播。什么墨色浓淡，什么明暗过渡，分分钟搞定。画中一人凭窗持卷，吟尽冬雪的温馨与静谧，牢牢锁住观者的视线，成为“画眼”。就连那口水井，都浑然成趣。

[1]Yoshikatsu Nakajima,Hideo Saito.Robust camera pose estimation by viewpoint classification using deep learning.Computational Visual Media Vol.3,No.2,189–198,2017.

Shi-Min Hu

Department of Computer Science and Technology,

Tsinghua University,Beijing 100084,China

Tel:86-10-62782052

E-mail:shimin@tsinghua.edu.cn

[3]Yixin Zhuang,Hang Dou,Nathan Carr,and Tao Ju.Feature-aligned segmentation using correlation clustering.Computational Visual Media Vol.3,No.2,147–160,2017.

由于长期积累，水利地理水纹图标已经自成一套体系，但是这套“隐性”体系中包含着诸多不稳定因素。所以首先应该把这套“隐性”的体系发掘出来。因地理水纹记号多样性、覆盖面广、内容丰富和种类繁多的特点，信息收集方式按地域划分可以提高工作效率。收集过程中要涉及国外的水利水纹记号，以使信息的采集更加全面。需要强调的是，我国的水利水纹记号的收集必须详细、准确、真实、全面、系统，并且可依据水利部颁发的 《水利统计办法》开展搜集统计工作。

[2]Jie Wang,Juyong Zhang,Changwei Luo,and Falai Chen.Joint head pose and facial landmark regression from depth images.Computational Visual Media Vol.3,No.3,229–241,2017.

计算机专业本身是一门实践能力很强的专业，各类大赛都以实际应用问题的解决为重要的参考依据。以中国“软件杯”大学生软件设计大赛为例，所有的赛题都是从华三、东软等一些大企业在实际遇到的问题为原型，经过高校骨干教师的评审，最终确定课题内容。参赛学生在分析问题的过程中，能够从实际的问题出发来进行软件的设计与开发，极大地培养了学生解决问题的能力。

Award-winning articles

[4]Zherong Pan,Dinesh Manocha.Editing smoke animation using a deforming grid.Computational Visual Media Vol.3,No.4,369–378,2017.

[5]Yuxin Ma,Wei Chen,Xiaohong Ma,Jiayi Xu,Xinxin Huang,Ross Maciejewski,and Anthony K.H.Tung.EasySVM:A visual analysis approach for open-box support vector machines.Computational Visual Media Vol.3,No.2,161–175,2017.