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

此PFI：AIR技术翻译项目专注于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中的创新支持需求。视频协作实验室非常重要，因为越来越多的视频被生成用于商业和个人用途。虽然目前有分发/观看视频的方法，但要从视频中钻取、分析和记录重要细节作为一种手段来实现目的仍然不容易，特别是在与他人合作时。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谈论、标记和集思广益，讨论直接链接到视频内容本身的视频。该项目将产生一个扩大和增强的视频协作实验室平台，具有以下独特功能：与视频文件精确交互的新方法，将小组讨论直接连接到视频时间表，以及支持与视频进行有意义的工作的私人社交网络。这些功能提供了以下优势：能够进行更清晰、更深入的讨论；减少错误和混乱；与该市场领域领先的竞争技术(如YouTube和Vimeo)相比，提高效率/节省时间，这些技术侧重于分发而不是详细分析和使用视频文件。该项目将为围绕视频数据的下一代协作开发一个市场就绪的技术平台。该项目在从研究发现转化为商业应用的过程中解决了以下技术差距：(1)社交存在的承受能力和群体分析，以实现围绕视频文档的群体指导观看和同步交互；(2)丰富的通信路径，以支持多媒体注释和以视频为中心的评论过滤，作为以视频为中心的讨论的一部分；(3)界面和视频数据的响应组件，以适应用户网络环境的智能视频流，跨平台扩展(特别是移动)；以及(4)针对组/项目组织、访问/隐私控制和共享内容管理的弹性、可扩展和社交感知指标。对研究和知识库的重大贡献是旨在弥补这些差距的新技术，并通过用户研究测试得到验证。贡献包括围绕视频文档的同步交互技术；社交讨论线程化(整合带注释的视频分段、用户交互分析和讨论内容的上下文)；加权的自适应视频流，以按讨论活动确定内容传输的优先顺序；以及灵活的、社交感知的访问管理和内容共享模型。此外，参与该项目的人员，研究生和博士后，将通过研究开发和发现商业现实，获得技术翻译和创业经验。

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.