ITR Collaborative Research: Indexing, Retrieval, and Use of Large Motion Databases

ITR 协作研究：大型运动数据库的索引、检索和使用

• 批准号: 0326322
• 负责人: Christos Faloutsos
• 金额: $ 140万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-03-15 至 2009-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0326322&HistoricalAwards=false
• 关键词: ITR; Collaborative; Research; Indexing; Retrieval

The project will attempt to develop techniques for indexing and retrieving motion data. The PIs have already developed a substantial library of motion data. Motion databases are being used in the film and entertainment industry. However efficient access to such data is still a major challenge. The indexing algorithms to be developed will enable efficient access to the data. The retrieval algorithms will enable the retrieval of motion data. The project will also develop clustering techniques so that similar motions may be grouped together for efficient retrieval. The proposal has strong intellectual merit and will make contributions to advancing the state-of-the-art in motion databases. While the main application area at present is the entertainment and film industry, the results of the project may be applied to defense, intelligence and transportation applications. One can expect this project to have broader impact in homeland security applications.

该项目将试图开发索引和检索运动数据的技术。PI已经开发了大量的运动数据库。运动数据库正被用于电影和娱乐行业。然而，有效获取这些数据仍然是一个重大挑战。有待开发的索引算法将使人们能够有效地获取数据。检索算法将能够检索运动数据。该项目还将开发聚类技术，以便将类似的运动集中在一起进行有效检索。 该方案具有很强的学术价值，将有助于推进最先进的运动数据库。虽然目前的主要应用领域是娱乐和电影业，但该项目的成果可能会应用于国防，情报和交通应用。人们可以期待这个项目在国土安全应用中产生更广泛的影响。