Haidian, China

Beijing Film Academy

www.bfa.edu.cn
Haidian, China

Beijing Film Academy is a coeducational state-run higher education institution in Beijing, China. The film school is the largest institution specialising in the tertiary education for film and television production in Asia. The academy has earned international recognition for its achievements in film production. Wikipedia.


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Zhang L.,Peking University | Zhao X.,CAS Institute of Computing Technology | Zhao X.,University of Chinese Academy of Sciences | Ma S.,Peking University | And 3 more authors.
Journal of Visual Communication and Image Representation | Year: 2011

This paper presents a novel intra prediction algorithm, named position-dependent filtering (PDF), to improve the intra prediction accuracy. Different from the existing schemes where the samples along one prediction direction are predicted with the same set of filtering coefficients, in the proposed PDF, position-dependent filtering coefficients are employed, i.e., different sets of filtering coefficients are pre-defined for samples with different coordinates in one coding block. For each intra prediction mode, the set of linear filtering coefficients for each position within one block is obtained from off-line training using the least square method. Moreover, to further reduce the algorithm complexity, a simplified PDF (sPDF) is proposed. In sPDF, only a subset of reference samples are used for prediction and the others are discarded because of the minor contribution to intra prediction. The proposed algorithm has been implemented in the latest ITU-T VCEG KTA software. Experimental results demonstrate that, compared with the original KTA with new intra coding tool enabled, up to 0.53 dB of average coding gain is achieved by the proposed method, while applicable computational complexity is retained for practical video codecs. © 2010 Elsevier Inc. All rights reserved.


Zou L.,Peking University | Zou L.,Beijing Film Academy | Qi Y.,Beihang University | Lai S.-N.,Peking University
Ruan Jian Xue Bao/Journal of Software | Year: 2016

Natural phenomena simulation is an important research area in computer graphics domain. How to obtain realistic natural phenomena by simulation in an efficient way is the main purpose of this research field. The physics-based modeling method is a traditional way to solve this kind of problem. Along with rapid development of acquisition devices, the image-based method attracts a lot of research attention and interest. This paper chooses liquid as research object. Main research achievements on the topic of image-based reconstruction are summarized. Focusing on dynamic water surface, a method of dynamic water surface data acquisition and reconstruction is proposed. First, a dynamic water surface data acquisition system is designed and built in order to obtain image sequences of different water surface phenomenon on multi-viewpoint. Next, feature points on each captured images in sequences are extracted. Then after feature point matching process, the mapping relationship between feature points and 3D points are built. Finally, dynamic water surface reconstruction results are obtained by using the height field and normal of 3D point combined with the optical refractive property of water. Experimental results show that this method can generate 3D reconstruction results rapidly. Satisfactory visual effect is also achieved facilitating this application to be used in computer games, visualization in scientific computing, and virtual simulation in medical area. © Copyright 2016, Institute of Software, the Chinese Academy of Sciences. All rights reserved.


Zhang Y.,Beijing University of Posts and Telecommunications | Yue T.,Beijing University of Posts and Telecommunications | Wang H.,Beijing University of Posts and Telecommunications | Wei A.,Beijing Film Academy
Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014 | Year: 2015

In this paper, we attempt to predict users' quality of experience (QoE) with the log data collected from the web sites of Internet video service providers. To this end, we first collect service log data in the wild from one of the Top 5 most popular providers in China. Then we do a series of data preprocessing to format the original semi-structured log data to structured. We calculate several key video quality metrics, such as join time and frame rate, and explore the distributions of each quality metric, as well as the relationship between individual quality metric and user engagement. Considering that user engagement may be a result of comprehensive effect of several metrics, we apply fuzzy decision tree (FDT), a kind of classification algorithms in the area of machine learning, to develop the predictive model of user QoE for Internet video. Finally, we compare the prediction accuracy of our model with the model developed using decision tree on several different datasets. Our model separately achieves about 20% and 10% improvement in prediction accuracy on the dataset of sessions with the same content type and the dataset of sessions with mobile access devices. © 2014 IEEE.


Ma H.,Beijing Film Academy | Wu G.,Tsinghua University
International Journal of Visual Design | Year: 2013

The Olympic Games are global events that aim to build a more peaceful and better world through supporting and promoting the spirit of fair play in sport. The Olympic Mascot carries the symbolic meaning of the Olympic Games; yet, it also represents the cultural heritage of the host city. How to blend local culture with the Olympic spirit and realize them in a global event is the major concern when designing an Olympic Mascot. One of the Authors of this paper is the original concept designer of the Beijing 2008 Olympic mascot. This paper documents the inspiration which led to the original concept of the 2008 Olympic mascot design, and describes in detail how traditional Chinese culture was adapted to reflect the Olympic spirit in the evolution of the mascot design. It also shows how to blend local Chinese culture effectively with global recognition, and realize local attraction in a global event. © Common Ground.


Chen Y.,Tsinghua University | Zhou Y.,Beijing Film Academy | Wen J.,Tsinghua University
Information (Switzerland) | Year: 2016

The second generation of Audio and Video coding Standard (AVS) is developed by the IEEE 1857Working Group under project 1857.4 and was standardized in 2016 by the AVSWorking Group of China as the new broadcasting standard AVS2. High Efficient Video Coding (HEVC) is the newest global video coding standard announced in 2013. More and more codings are migrating from H.264/AVC to HEVC because of its higher compression performance. In this paper, we propose an efficient HEVC to AVS2 transcoding algorithm, which applies a multi-stage decoding information utilization framework to maximize the usage of the decoding information in the transcoding process. The proposed algorithm achieves 11×-17× speed gains over the AVS2 reference software RD 14.0 with a modest BD-rate loss of 9.6%-16.6%. © 2016 by the authors.


Speakers include director Jon M. Chu, top executives at Alibaba Pictures and Amblin Partners; Presented in partnership with Beijing Film Academy; Honorees include BFA graduates, directors Cao Baoping and Lu Chuan LOS ANGELES, CA--(Marketwired - October 25, 2016) - Asia Society Southern California today announced the full agenda for the seventh annual U.S.-China Film Summit. The 2016 Summit will highlight animation, digital and immersive entertainment, China's global quest for talent, and Hollywood's quest for financing. "Spotlight" speakers include director Jon M. Chu, whose film adaption of Crazy Rich Asians was just picked up by Warner Bros. for distribution, and the executives behind the recently announced partnership between Jack Ma and Steven Spielberg, Alibaba Pictures President Wei Zhang and Amblin Partners President and Co-CEO Jeff Small. Asia Society Southern California will also honor Huayi Brothers Media Vice Chairman and CEO James Wang (Wang Zhonglei), Oriental DreamWorks Head of Studio and Chief Creative Officer Melissa Cobb, and directors Cao Baoping and Lu Chuan. The summit will take place at the UCLA's new Luskin Conference Center (Nov. 1) and the gala dinner will be at the Millennium Biltmore Hotel (Nov. 2). The current program agenda follows. Media interested in learning more or registering for the Summit should contact Juan Machado at Asia Society (jmachado@asiasociety.org). The event is organized by Asia Society Southern California. The Beijing Film Academy is the China Educational and Cultural Partner, and the Presenting Partner is China Screen Biennial. Supporting organizations include the Association of Film Commissioners International, CAPE (The Coalition of Asian Pacifics in Entertainment), China Hollywood Society, Hong Kong Association of Southern California, Motion Picture Association of America, Producers Guild of America, USC US-China Institute, and Women in Film. 9:10 AM: Keynote: The World's Two Biggest Film Markets – a Contrast in Styles In conversation with Janet Yang, Managing Director of Creative Content, Tang Media Partners In conversation with John Penotti, Co-Founder, Ivanhoe Pictures, and President, Sidney Kimmel Entertainment 11:10 AM: Animation's New Realm: The Rising Opportunities and Stakes 1:20 PM: Doing the Right Thing: The Evolving Art of Making International Co-Productions Moderated by Sanjay Sood, Director, UCLA Anderson School of Management, Center for Management of Enterprise in Media, Entertainment and Sports 3:30 PM: The Future of Filmed Content: Virtual Reality, Location-Based Entertainment and Beyond Asia Society is the leading educational organization dedicated to promoting mutual understanding and strengthening partnerships among peoples, leaders, and institutions of Asia and the United States in a global context. Across the fields of arts, business, culture, education, and policy, the Society provides insight, generates ideas, and promotes collaboration to address present challenges and create a shared future. Founded in 1956 by John D. Rockefeller 3rd, Asia Society is a nonpartisan, nonprofit institution with major cultural centers in New York, Hong Kong, and Houston, and offices in Los Angeles, Manila, Mumbai, San Francisco, Seoul, Shanghai, Sydney, Washington, DC, and Zurich.


News Article | November 22, 2016
Site: en.prnasia.com

BEIJING, Nov 22, 2016 /PRNewswire/ -- As the 2016 China-U.S. Tourism Year draws to an end, Yale University and American University held the "VR Experience Day of Beautiful China" event, a VR promotion program similar to Google's Expeditions VR program which hit the campus last year, but this time, from China. As the organizer of this event and one of the first organizations that developed VR content, China Intercontinental Communication Center (CICC) brought hundreds of VR tourism scenes in China to the U.S. This event presented the students with famous mountains and rivers, as well as scenic spots in China, including Fujian, Guilin, and Mount Huangshan. Thousands of pieces of VR equipment were available for the students, and those who participated gave great feedback, expressing their wishes to go to China to see the beautiful and magical scenes in person. Rose Ann Robertson, interim Senior Associate Dean of the School of Communication of American University, told CICC that as a form of media, VR shortens the distance between different parts of the world, and allows people to know more about each other. She also expressed that she hoped to have more cultural exchanges with China and would like to take her team to China for a visit. College students from both China and the U.S. showed great enthusiasm for VR technology. Students from Beijing Film Academy and one of the prize-winners of the first "Meeting China" VR Youth Photography Exhibition, were also present, and shared his experience in VR content production with U.S. students. CICC encouraged young Americans to participate in the second "Meeting China" VR Youth Photography Exhibition, inviting them to come to China in 2017 and see a beautiful China through VR technology. According to a report, many Chinese institutions and individuals have been exploring VR technology since 2014 leading to almost synchronous development in hardware equipment and content development with the rest of the world. As a known international cultural exchange organization, CICC is the largest VR content producer in China, and has gained attention and support for non-game, non-entertainment industrial applications from organizations and companies, including AMD, Dell and related organizations. To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/vr-beautiful-china-experience-day-making-waves-on-us-campus-300367286.html


Wang X.,Communication University of China | Wei A.,Beijing Film Academy | Yang Y.,Communication University of China | Ning J.,Beijing Film Academy
2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 | Year: 2015

The video service is one of the most important Internet services, and user quality of experience (QoE) represents the degree of recognition of the video service. Therefore, research on QoE is significant in improving the quality of the video service. Considering the influence of different factors on QoE, this paper studies the effect of video content types on QoE. In this article, we divide videos into seven types: entertainment, cartoon, sport, news, music, teleplay, specialty. Besides, we utilize user engagement to measure QoE. The study shows that the correlation which is mainly reflected in following aspects between video types and QoE is substantial. Firstly, video types can impact QoE directly. For example, the proportion of high engagement of cartoon is higher than other videos by 30%. Secondly, video types affect the distribution of the key performance indicators (KPIs). Lastly, video types influence the correlation between user engagement and KPI. © 2015 IEEE.


He J.,Communication University of China | Yang Y.,Communication University of China | Wei A.,Beijing Film Academy | Dong W.,Beijing Film Academy
ICCAIS 2015 - 4th International Conference on Control, Automation and Information Sciences | Year: 2015

Clustering algorithms are some of the most important algorithms used to describe data attributes and very effective ways to mine and analyze big data set. In this paper, the whole description of vector space of Internet users is acquired by clustering and analyzing user behavior data set. Moreover, all users are divided into different clusters according to KPI which is to correlate different users in terms of their degree of video completion. Our research shows that KPI of total length correlates degree of completion better than other KPIs. This KPI is drastically negatively correlated with user degree of video completion. Finally, we compare the accuracy and efficiency of three different algorithms which we used to cluster our research data in this paper. © 2015 IEEE.


He Y.,Communication University of China | Wei A.,Communication University of China | Zhang W.,Beijing Film Academy | Xiao H.,Beijing Film Academy
Proceedings - 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015 | Year: 2015

With the rapid development of Internet video service and the continuous expansion of user scale, to dig out the user behavior patterns accurately from the user data and obtain some valuable regularities of the user behavior can help the Internet video operators to improve service quality and enhance the user's quality of experience (QoE), so that achieves the purpose of improving economic benefits. The goal of this paper is to provide a better understanding of the user behavior for video operators. To this end, we research the user behavior in the scene of large scale Internet video service based on the data set captured from one of the largest operators of China. By the way of statistical analysis and data mining of large scale user data, we conclude several regularities and statistical models of the user behavior. We also develop a deep study on the relevant factors that impact the user behavior, and focus on the relevance between the user behavior and video length, video popularity, buffer rate, error rate, which find out that the buffer rate have a significant impact on the user behavior, while the video popularity have a weak correlation with the user behavior. © 2015 IEEE.

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