CISE Research Instrumentation: Experimental Infrastructure for Indexing, Retrieval and Robust Presentation of Multimedia Data

9818289张，AidongSrihari, Rohini k .纽约州立大学布法罗分校研究基础设施：多媒体数据索引、检索和自动呈现的实验基础设施本研究仪器使以下研究项目成为可能：-一致和健壮的多媒体数据检索、传输和呈现-多媒体图像注释、索引和检索；及-多维数据挖掘及在大型多媒体数据库中的应用这项研究仪器拨款用于购买高性能存储系统，以建立实验基础设施，进行多媒体信息管理和检索的研究。所要求的仪器支持三个项目，这些项目需要具有大内存和巨大磁盘空间的高容量机器：在分布式环境中支持定制的多媒体演示；多媒体数据标注、索引和检索；以及数据挖掘及其在大型多媒体数据库中的应用。第一个项目建立一个基本框架并发展技术，以确保一致和可靠地检索、传输和呈现多媒体数据。实验研究将涉及异构多媒体数据的并发呈现、健壮的端到端传输协议、用户交互的整合以及同步策略中的延迟效应。第二个项目研究了在大型图片检索系统的索引和检索阶段中文本和照片信息的集成。实验分析将进行，以证明这些技术的效用。第三个项目研究从真实图像中生成的大量多维数据的多分辨率聚类方法。将研究聚类方法的性能，并通过不同类型的数据分布来证明这些方法的有效性。

9818289Zhang, AidongSrihari, Rohini K.State University of New York at BuffaloCISE Research Infrastructure: Experimental Infrastructure for Indexing, Retrieval, and Robost Presentation of Multimedia DataThis research instrumentation enables research projects in:- Consistent and Robust Retrieval, Transmission and Presentation of Multimedia Data- Multimedia Image annotation, Indexing and Retrieval, and - Multidimensional Data Mining and Applications in Large-Scale Multimedia DatabasesThis research instrumentation grant contributes to the purchase of a high performance storage system to establish an experimental infrastructure for conducting research on multimedia information management and retrieval. The requested instrumentation enables three projects which require high-capacity machines with large memory and huge disk space: supporting customized multimedia presentations in distributed environments; multimedia data annotation, indexing and retrieval; and data mining and applications in large-scale multimedia databases. The first project establishes an underlying framework and develops techniques for ensuring consistent and robust retrieval, transmission and presentation of multimedia data. Experimental research will be conducted on concurrent presentations of heterogeneous multimedia data, robust end-to-end transmission protocols, incorporation of user interactions and delay effects in synchronizing strategies. The second project investigates the integration of text and photographic information in both the indexing and retrieval stages of a large-scale picture retrieval system. Experimental analysis will be conducted to demonstrate the utility of these techniques. The third project investigates multi-resolution clustering approaches on vast amount of multi-dimensional data generated from real-life images. The peformance of the clustering approaches will be studied and the effectiveness of these approaches will be demonstrated through different types of distributions of data.