US-Singapore Workshop: Collaborative Research: Understand the World by Analyzing Many Video Streams
US-Singapore Workshop: Collaborative Research: Understand the World by Analyzing Many Video Streams
批准号:
1427808
负责人:
Yung-Hsiang Lu
金额:
$1.8万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-12-01 至 2015-11-30
中文摘要
点击翻译按钮获取中文摘要
英文摘要
NSF CNICUS-Singapore Workshop: Collaborative Research: Understand the World by Analyzing Many Video StreamsMany thousands of network cameras provide near real-time view of the world. Valuable scientific information could be extracted by analyzing the large amounts of data. However, most of the data are never analyzed or archived. Analysis programs must be able to retrieve data from distributed sources, manage network accesses, schedule computation resources, allocate storage space, analyze the data, store the results, and present the results in formats that are easy to comprehend. Although the data are available, analyses today are limited due to the lack of a software framework to write and execute computer programs.To harvest the knowledge from the data, the researchers from six universities are creating a system that can analyze the vast amount of visual data. The team will organize a workshop in December 2014 in Singapore. In this workshop, the team will share the information of the projects currently been conducted independently in the six universities. The researchers will present and demonstrate their projects, discuss and develop a plan for collaboration. The team includes Yung-Hsiang Lu (lead, Purdue University), Ketan Mayer-Patel (University of North Carolina), Cong Liu (University of Texas Dallas), Wei Tsang Ooi (National University of Singapore), Jason Gu (Singapore University of Technology and Design), Yonggang Wen (Nanyang Technological University).
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: OAC Core: Advancing Low-Power Computer Vision at the Edge
-
批准号:2107230
-
项目类别:Standard Grant
-
资助金额:$25.0万
-
财政年份:2021
-
负责人:Yung-Hsiang Lu
-
依托单位:
Collaborative Research: CCRI:NEW: Research Infrastructure for Real-Time Computer Vision and Decision Making via Mobile Robots
-
批准号:2120430
-
项目类别:Standard Grant
-
资助金额:$91.97万
-
财政年份:2021
-
负责人:Yung-Hsiang Lu
-
依托单位:
CDSE: Collaborative: Cyber Infrastructure to Enable Computer Vision Applications at the Edge Using Automated Contextual Analysis
-
批准号:2104709
-
项目类别:Standard Grant
-
资助金额:$22.5万
-
财政年份:2021
-
负责人:Yung-Hsiang Lu
-
依托单位:
Collaborative:RAPID:Leveraging New Data Sources to Analyze the Risk of COVID-19 in Crowded Locations.
-
批准号:2027524
-
项目类别:Standard Grant
-
资助金额:$5.0万
-
财政年份:2020
-
负责人:Yung-Hsiang Lu
-
依托单位:
CCRI: Planning: Collaborative Research: Planning to Develop a Low-Power Computer Vision Platform to Enhance Research in Computing Systems
-
批准号:1925713
-
项目类别:Standard Grant
-
资助金额:$5.5万
-
财政年份:2019
-
负责人:Yung-Hsiang Lu
-
依托单位:
Summit of Software Infrastructure for Managing and Processing Big Multimedia Data at the Internet Scale
-
批准号:1747694
-
项目类别:Standard Grant
-
资助金额:$1.5万
-
财政年份:2017
-
负责人:Yung-Hsiang Lu
-
依托单位:
SI2-SSE: Analyze Visual Data from Worldwide Network Cameras
-
批准号:1535108
-
项目类别:Standard Grant
-
资助金额:$50.0万
-
财政年份:2015
-
负责人:Yung-Hsiang Lu
-
依托单位:
I-Corps: Business Analytics for Large Scale Intelligence
-
批准号:1530914
-
项目类别:Standard Grant
-
资助金额:$5.0万
-
财政年份:2015
-
负责人:Yung-Hsiang Lu
-
依托单位:
CPA: Cross-Layer Energy Management by Architectures, Operating Systems, and Application Programs
-
批准号:0541267
-
项目类别:Continuing Grant
-
资助金额:$0.0万
-
财政年份:2006
-
负责人:Yung-Hsiang Lu
-
依托单位:
CAREER: A Unified Approach for Energy Management by Operating Systems
-
批准号:0347466
-
项目类别:Continuing Grant
-
资助金额:$41.98万
-
财政年份:2004
-
负责人:Yung-Hsiang Lu
-
依托单位:
海外基金