课题基金 / 基金详情

ITR: Advancing Digital Imagery Technologies for Asian Art and Cultural Heritages

ITR: Advancing Digital Imagery Technologies for Asian Art and Cultural Heritages
ITR:推进亚洲艺术和文化遗产的数字图像技术
批准号:
0219272
负责人:
James Wang
金额:
$20.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-08-15 至 2006-07-31

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中文摘要
翻译
这一合作研究项目旨在促进与亚洲艺术和文化遗产的数字图像的保存、检索和传播有关的信息技术。美国和韩国的研究人员中国将共同研究和开发获取、浏览、管理和搜索大量高质量艺术图像的技术。这个项目将有助于建立和维护能够在多种语言、格式、媒体以及社会和组织环境中运行的信息系统所需的基本知识和技术。美国研究团队将专注于(1)多模式媒体管理,(2)分布式数据挖掘,以及(3)图像存储和显示。该团队将开发理论基础,将语言术语与图像特征联系起来。这项研究项目的艺术图像试验台数据库包括高质量的扫描,具有元数据信息和详细的关键词信息,以及全面的文本描述。研究工作将表明:(1)现代机器学习和统计数据挖掘工具能够从非结构化或半结构化的输入数据(如Ashuman注释)中学习;(2)统计图像建模技术可以用于自动语言标引和概念词典的建立。
英文摘要
This collaborative research project aims at advancing informationtechnologies related to the preservation, retrieval, and disseminationof digital imagery for Asian art and cultural heritages. Researchersin the US, China, and South Korea will collectively investigate anddevelop technologies for acquiring, browsing, managing, and searchinglarge collections of high quality art images. This project willcontribute to the fundamental knowledge and technologies required tocreate and maintain information systems that can operate in multiplelanguages, formats, media, and social and organizational contexts.The US research team will focus on (1) multimodal media management,(2) distributed data mining, and (3) image storage and display. The teamwill develop theoretical foundations to associate linguistic termswith image features. The testbed databases of art images for thisresearch project consist of high quality scans, with metadatainformation and detailed keyword information, as well as comprehensivetextual descriptions. The research work will show that (1) modernmachine learning and statistical data mining tools are capable oflearning from non-structured or semi-structured input data such ashuman annotations, (2) statistical image modeling techniques can beused in automatic linguistic indexing and concept dictionary building.------
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会议论文
Collaborative Research: CCRI: New: An Open Data Infrastructure for Bodily Expressed Emotion Understanding
SBIR Phase I: Engineering a novel 3D metal printed orthodontic system for lingual attachment-enabled clear aligner therapy
  • 批准号:
    1938533
  • 项目类别:
    Standard Grant
  • 资助金额:
    $22.5万
  • 财政年份:
    2020
  • 负责人:
    James Wang
  • 依托单位:
CCRI: Planning: Planning to Develop a Body Language Dataset for the Artificial Intelligence Research Community
SoCS: Studying the Computability of Emotions by Harnessing Massive Online Social Data
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