PFI:AIR-TT: Video Collaboratory: A Platform for Active Viewing and Collaboration with Video Data

这个PFI: AIR技术翻译项目的重点是翻译一种在线软件技术（视频协作实验室），以满足围绕视频文档的小组协作和讨论的创新支持需求。视频合作实验室很重要，因为越来越多的视频正在为商业和个人使用而生成。虽然目前有分发/观看视频的方法，但从视频中深入研究、分析和记录重要细节作为达到目的的手段仍然不容易，尤其是在与他人合作时。从企业培训到医疗保健、教育和安全，人们需要有效的方法来私下讨论、标记和头脑风暴直接链接到视频内容本身的视频。该项目将带来一个规模扩大和增强的视频协作实验室平台，该平台具有以下独特功能：与视频文档进行精确交互的新方法，将小组讨论直接连接到视频时间轴，以及支持有意义的视频工作的私人社交网络。这些特性提供了以下优点：支持更清晰、更深入的讨论；减少错误和混乱；与YouTube和Vimeo等市场上领先的竞争技术相比，提高效率/节省时间，这些技术专注于分发而不是详细分析和使用视频文档。该项目将开发一个面向市场的技术平台，用于围绕视频数据的下一代协作。该项目解决了从研究发现到商业应用的以下技术差距：(1)社会存在能力和群体分析，以实现群体引导的观看和围绕视频文档的同步交互；(2)丰富的传播路径，支持多媒体注释和以视频为中心的评论过滤，作为视频锚定讨论的一部分；(3)用于接口和视频数据的响应组件，以跨平台（特别是移动）扩展，并具有适应用户网络环境的智能视频流；(4)弹性的、可扩展的和社会感知的度量，用于组/项目组织、访问/隐私控制和共享的内容管理。对研究和知识库的重大贡献是旨在解决这些差距的新技术，并通过用户研究测试进行验证。贡献包括围绕视频文档的同步交互技术；社交讨论线程（整合注释视频分割、用户交互分析和讨论内容的上下文）；加权自适应视频流，通过讨论活动优先传输内容；以及用于访问管理和内容共享的灵活的、具有社会意识的模型。此外，参与该项目的人员，包括研究生和博士后，将通过研究开发和发现获得技术翻译和创业经验，以实现商业现实。

This PFI: AIR Technology Translation project focuses on translating an online software technology (The Video Collaboratory) to fill the need for innovative support in small group collaboration and discussion around video documents. The Video Collaboratory is important because increasingly huge amounts of video are being generated for business and personal use. And while there are currently ways to distribute / watch video, it is still not easy to drill into, analyze, and note important details from within the video as a means to an end, particularly when working with others. From corporate training to healthcare, education, and security, people need effective ways to privately converse about, mark up and brainstorm around videos that are linked directly into the video content itself. The project will result in a scaled-up and enhanced Video Collaboratory platform with the following unique features: new ways for precision interaction with video documents, direct connection of group discussions to the video timeline, and private social networking to support meaningful work with videos. These features provide the following advantages: enabling clearer, deeper discussion; reducing error and confusion; and increasing efficiency / saving time when compared to the leading competing technologies in this market space, such as YouTube and Vimeo, that focus on distribution rather than detailed analysis and use of video documents. This project will develop a market-ready technology platform for next-generation collaboration around video data.This project addresses the following technology gaps as it translates from research discovery toward commercial application: (1) social presence affordances and group analytics to enable group-guided viewing and synchronous interaction around video documents; (2) rich communication pathways to support multimedia annotations and video-centric filtering of commentary as part of video-anchored discussion; (3) responsive components for interface and video data to scale across platforms (particularly mobile) with smart video streaming that adapts to user network environments; and (4) elastic, scalable, and socially-aware metrics for group/project organization, access/privacy control, and content management for sharing. Significant contributions to the research and knowledge base are novel techniques designed to address these gaps, validated through user study testing. Contributions include techniques for synchronous interaction around video documents; social discussion threading (integrating context from annotated video segmentation, user interaction analytics, and discussion content); weighted adaptive video streaming to prioritize transfer of content by discussion activity; and a flexible, socially-aware model for access management and content sharing. In addition, personnel involved in this project, graduate students and post-docs, will receive technology translation and entrepreneurship experiences through research development and discovery toward commercial reality.