MultiMedia Information Retrieval for Biological Research

生物研究的多媒体信息检索PI：Linda G.Shapiro，共同PI：James F.Brinkley，III和Dan Suciu华盛顿大学被授予开发组织和检索生物数据的统一方法的赠款，特别是来自科学实验的图像数据和相关测量。这项工作将建立在现有的实验管理、近似查询和基于内容的图像检索工作的基础上。将开发一个多媒体数据的概率查询框架，为用户提供访问多种类型数据的统一方式。查询将能够处理单一数据类型和多种相关数据类型，例如注册的CT和MRI扫描或神经元放电模式和相关的fMRI数据。数据的组织方式将既便于用户理解，又便于查询访问。将建立一个原型系统，并在三种不同的生物应用上进行评估。这项工作的结果将是一种满足生物学研究需要的多媒体信息检索的新范式。这项研究的更广泛影响将是在各种领域的开创性生物学研究中使用这些存储和检索技术，在这些领域，图像和其他多媒体数据对研究至关重要。生物学家将能够组织和访问他们的数据，以执行主要分析，并为他们的工作提供新的见解。学生们将参与这项研究。PI正在指导年轻女性，并鼓励她们开始计算机科学职业生涯。

Multimedia Information Retrieval for Biological Research PI: Linda G. Shapiro, Co-PI: James F. Brinkley, III and Dan SuciuUniversity of Washington Washington University is award a grant to develop a unified methodology for organization and retrieval of biological data, in particular, image data and related measurements from scientific experiments. The work will build on existing work in experiment management, approximate queries, and content-based image retrieval. A probabilistic query framework for multimedia data will be developed that provides users with a unified way to access multiple types of data. Queries will be able to handle both single data types and multiple related data types, such as registered CT and MRI scans or neuronal firing patterns and related fMRI data. The data will be organized in a way that is both easy for users to understand and efficient for query access. A prototype system will be built and evaluated on three different biological applications. The results of this work will be a new paradigm for multimedia information retrieval that satisfies the needs of biological research. The broader impacts of the research will be the use of these storage and retrieval techniques in groundbreaking biological research in a wide variety of areas where image and other multimedia data are critical to the research. Biologists will be able to organize and access their data to perform major analyses and to provide new insights into their work. Students will be involved in the research. The PI is mentoring young women and encourages them to embark in a computer science career.