International Workshop on Connected Multimedia
互联多媒体国际研讨会
基本信息
- 批准号:0956924
- 负责人:
- 金额:$ 1.03万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-09-15 至 2010-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Multimedia research, in particular, media understanding research which traditionally largely relies on computer vision research, has been around for many years. However, in general this area still remains open due to the challenging nature in computer vision research. The goal of this project is to attempt to narrow down the whole area to the connected multimedia with the hope to solve for real-world problems in this narrow area that shall lead to the technology development. To achieve this goal, this project is aimed at organizing an international workshop on connected multimedia to specifically address the general media understanding problem under the two constraints -- the social aspect and the cultural aspect. The intellectual merits are manifested through the expected advances in the literature of multimedia, data mining, information retrieval, as well as computer vision after the workshop; it is also expected that organizing this workshop may expedite and catalyze the interdisciplinary development in the areas of multimedia, data mining, information retrieval, and computer vision. The broader impacts of organizing this workshop include the promoted collaborations between computer scientists and social scientists and between academia and industries to work together to solve the problems on the topic of connected multimedia, which may further lead to technological development to provide effective solutions to several important real-world problems. The advanced literature this workshop generates may also serve as the updated materials for the graduate students working in the related areas to broaden and enrich their exposure to their professional training and education.http://www.fortune.binghamton.edu/nsf-iis-0956924.htm
多媒体研究,特别是传统上主要依赖于计算机视觉研究的媒体理解研究,已经存在了很多年。然而,由于计算机视觉研究的挑战性,这一领域仍然是开放的。这个项目的目标是试图缩小整个领域的连接多媒体,希望解决现实世界中的问题,在这个狭窄的领域,将导致技术的发展。为实现这一目标,该项目旨在组织一次关于互联多媒体的国际讲习班,专门讨论在社会方面和文化方面这两个制约因素下的一般媒体理解问题。通过研讨会后多媒体,数据挖掘,信息检索以及计算机视觉文献的预期进展,体现了智力优势;还预计组织这次研讨会可能会加速和催化多媒体,数据挖掘,信息检索和计算机视觉领域的跨学科发展。组织这次研讨会的更广泛的影响包括促进计算机科学家和社会科学家之间的合作,以及学术界和工业界之间的合作,共同解决有关连接多媒体的问题,这可能进一步导致技术发展,为几个重要的现实世界问题提供有效的解决方案。本研讨会产生的先进文献也可作为相关领域研究生的最新资料,以扩大和丰富他们的专业培训和接触。education.http://www.fortune.binghamton.edu/nsf-iis-0956924.htm
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Zhongfei Zhang其他文献
Marginal Fisher Regression Classification for Face Recognition
人脸识别的边际费舍尔回归分类
- DOI:
10.1007/978-3-319-24075-6_44 - 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Zhong Ji;Yunlong Yu;Yanwei Pang;Yingming Li;Zhongfei Zhang - 通讯作者:
Zhongfei Zhang
"Automatic" multimodal medical image fusion
“自动”多模态医学图像融合
- DOI:
- 发表时间:
2003 - 期刊:
- 影响因子:0
- 作者:
Zhongfei Zhang;Jian Yao;S. Bajwa;T. Gudas - 通讯作者:
T. Gudas
Dietary Intake of Structured Lipids with Different Contents of Medium-Chain Fatty Acids on Obesity Prevention in C57BL/6J Mice.
膳食摄入不同中链脂肪酸含量的结构脂质对 C57BL/6J 小鼠肥胖的预防作用。
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:3.9
- 作者:
Shengmin Zhou;Yueqiang Wang;Yuanrong Jiang;Zhongfei Zhang;Xiangjun Sun;L. Yu - 通讯作者:
L. Yu
Solving the Small and Asymmetric Sampling Problem in the Context of Image Retrieval
解决图像检索背景下的小且不对称采样问题
- DOI:
10.4018/978-1-60566-174-2.ch009 - 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Ruofei Zhang;Zhongfei Zhang - 通讯作者:
Zhongfei Zhang
Other Chemical Hazards
其他化学危害
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Lijuan Du;Guoren Huang;Puyu Yang;Zhongfei Zhang;Lu Yu;Yaqiong Zhang;Boyan Gao - 通讯作者:
Boyan Gao
Zhongfei Zhang的其他文献
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{{ truncateString('Zhongfei Zhang', 18)}}的其他基金
DC:Small: Collaborative Research: Data Intensive Computing for General Relational Data Learning
DC:Small:协作研究:用于一般关系数据学习的数据密集型计算
- 批准号:
1017828 - 财政年份:2010
- 资助金额:
$ 1.03万 - 项目类别:
Standard Grant
III-COR-Small: Relational Data Community Discovery and Learning
III-COR-Small:关系数据社区发现和学习
- 批准号:
0812114 - 财政年份:2009
- 资助金额:
$ 1.03万 - 项目类别:
Standard Grant
Exploiting Multimodel Synergy for Large Scale and Diverse Image Retrieval in Digital Archives
利用多模型协同作用进行数字档案中的大规模和多样化图像检索
- 批准号:
0535162 - 财政年份:2006
- 资助金额:
$ 1.03万 - 项目类别:
Standard Grant
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