SBIR Phase I: Filmmaking for Everyone: Computational Video Editing

SBIR 第一阶段：适合所有人的电影制作：计算视频编辑

• 批准号: 1842850
• 负责人: Genevieve Patterson
• 金额: $ 22.47万
• 依托单位: TRASH INC.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-01-01 至 2019-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1842850&HistoricalAwards=false
• 关键词: SBIR; Phase; Filmmaking; Everyone; Computational

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will result from addressing video editing as a software problem. All the hurdles that surround this space - the clunkiness of having to poke at a timeline of clips with your fingers on a rectangle of glass, the time and technical skill required to even know how to put those clips together in a pleasing sequence, and the cost to have someone else do it for you - are all problems that can be solved with computational video editing. The cameras in mobile phones are the most important contemporary tool for artistic expression and cultural communication. The company's mobile video editing platform gives young and economically disadvantaged creators (who may only have a mobile device camera) access to the narrative format of video. With the growing adoption of mobile video by creators and viewers in every corner of the globe, high-quality video editing tools are increasingly needed for mobile platforms.This Small Business Innovation Research (SBIR) Phase I project will investigate the use of video understanding techniques that support the creation of artistic and cultural output. This project will develop algorithms, representations, and datasets that allow consumer-grade devices such as smartphones, tablets, and commodity PCs to understand video and generate narrative video sequences. The goal of this Phase I project is at the intersection of human-computer interaction, computer vision, and computational videography. This project will explore rich semantic embedding spaces, end-to-end trained multi-task neural networks, and large-scale data and their application to video manipulation, enhancement, and the ultimate goal of automated film editing.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项小型企业创新研究（SBIR）I阶段项目的更广泛的影响/商业潜力将是由于将视频编辑作为软件问题而产生的。围绕这个空间的所有障碍 - 必须用手指在玻璃矩形的夹子的时间表上戳戳的笨拙，甚至可以通过计算视频编辑来解决所有问题的时间和技术技能，甚至知道如何将这些剪辑放在一个令人愉悦的顺序中，以及让别人为您做的成本。手机中的相机是艺术表达和文化交流的最重要的当代工具。该公司的移动视频编辑平台为年轻且经济弱势的创作者（可能只有移动设备摄像头）访问视频的叙事形式。随着全球各个角落的创建者和观众对移动视频的采用越来越多，移动平台越来越需要高质量的视频编辑工具。这本小型企业创新研究（SBIR）I阶段项目将调查支持建立艺术和文化产量的视频理解技术的使用。该项目将开发算法，表示和数据集，以允许消费级设备（例如智能手机，平板电脑和商品PC）了解视频并生成叙事视频序列。该阶段I项目的目的是在人类计算机互动，计算机视觉和计算摄像机的交集中。该项目将探索丰富的语义嵌入空间，端到端训练有素的多任务神经网络以及大规模数据及其在视频操作，增强的应用中的应用，以及自动化电影编辑的最终目标。该奖项反映了NSF的法规任务，并被认为是通过基金会的知识优点和广泛的范围来评估的，并且值得通过评估来进行评估。