SBIR Phase I: EI:I2: PANOPTES: A Sytem for Analyzing Big Unstructured Multimedia Data Collections with Applications in Law Enforcement, Manufacturing, and Retail

SBIR 第一阶段：EI:I2：PANOPTES：分析大型非结构化多媒体数据集及其在执法、制造和零售领域的应用的系统

• 批准号: 1345900
• 负责人: Michael Holroyd
• 金额: $ 15万
• 依托单位: Arqball LLC
• 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
• 起止时间: 2014-01-01 至 2014-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1345900&HistoricalAwards=false
• 关键词: SBIR; Phase; EI; I2; PANOPTES

This Small Business Innovation Research (SBIR) Phase I project will develop and commercialize a system for indexing, searching, and visualizing large unstructured collections of multimedia data (photos, videos, and audio recordings). In the aftermath of an unexpected disaster such as a terrorist attack, law enforcement is overwhelmed with a vast amount of multimedia assets from many different sources ranging from security cameras to witness smartphones. It is critically important for investigators to quickly and reliably identify potentially relevant footage in these large corpora in order to aid their investigation. This project will develop advanced software to address this need. The broader impact/commercial potential of this project results from its applicability across a number of industries, including law enforcement, defense, manufacturing, and commercial retail. The combined size of these markets in the US is estimated to be roughly $6 trillion. This project addresses the need for automated tools to organize large unstructured collections of multimedia data that are expected to increase in number and size in parallel with the growth in smartphones, wider availability of low-cost recording equipment, and the prevalence of surveillance and security video systems. The current approach for searching these types of data collections will prove inadequate, since it relies on tools that are designed for reviewing a small amount of footage, normally captured by a small number of devices at known points in time and space.

这个小型企业创新研究（SBIR）第一阶段项目将开发和商业化一个系统，用于索引，搜索和可视化大型非结构化多媒体数据（照片，视频和音频记录）。在恐怖袭击等意外灾难发生后，执法部门会被来自许多不同来源的大量多媒体资产所淹没，从安全摄像头到证人智能手机。对于调查人员来说，在这些大型语料库中快速可靠地识别潜在的相关镜头以帮助他们的调查至关重要。该项目将开发先进的软件来满足这一需求。该项目更广泛的影响/商业潜力来自其在许多行业的适用性，包括执法，国防，制造和商业零售。美国这些市场的总规模估计约为6万亿美元。该项目解决了对自动化工具的需求，以组织大量非结构化的多媒体数据集，预计这些数据集的数量和规模将随着智能手机的增长而增加，低成本记录设备的普及以及监控和安全视频系统的普及。目前搜索这类数据集的方法将证明是不够的，因为它依赖于为审查少量镜头而设计的工具，这些镜头通常是由少数设备在已知的时间和空间点捕获的。