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Codex will combine the latest automated video mark-up technology with crowdsourced tagging by gamified hobbyist communities to deliver a new way to automatically tag video with objects and people within.

Codex will combine the latest automated video mark-up technology with crowdsourced tagging by gamified hobbyist communities to deliver a new way to automatically tag video with objects and people within.
Codex 将最新的自动视频标记技术与游戏化爱好者社区的众包标记相结合,提供一种自动标记视频中的物体和人物的新方法。
批准号:
700219
负责人:
金额:
$3.18万
依托单位:
依托单位国家:
英国
项目类别:
GRD Proof of Market
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --

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中文摘要
翻译
广播公司正在积累大量的视频片段档案,代表着数千万小时的节目。他们正在投资解锁档案,以从20亿GB的视频点播(VOD)和8亿GB的在线视频广告市场中获得更多价值。欧洲和美国广播公司的档案开发预算在2500万至3000万GB之间,此外,2012年E.GB 5亿用于在线内容的调试。利用这些海量的档案需要数字化和标记。前者是商品化的,后者问题很大。今天流行的手工标记技术昂贵,容易出错,而且不准确。机器标注算法正在改进,但仍然不准确,需要人工监督。Codex将把最新的计算机自动标记技术与游戏化的众包手动标记结合起来,提供一种新的、更精确的方法来创建用于访问视频档案的元数据标记。我们研发的目标是发现一流的技术如何与让爱好者免费标记视频的技术相结合,以便可以比目前的解决方案更快、更准确、更低成本地在视频中标记人、地点、产品和观众的社交足迹。这项技术将被授权给广播公司批量处理视频,并应该允许档案被新的B2C商业模式利用。Ludifi在提供这项研究方面具有独特的地位。我们创建了在网络视频上运行的互动应用程序,向博客作者提供免费的基于浏览器的工具,允许他们的浏览者投票、保存和购买产品、玩游戏并通过社交网络与朋友分享他们的互动。我们的热点标记和基于时间线的标记是简单、有效但手动的,没有自动标记辅助、对象跟踪或运动感知,也没有任何众包。Codex将发展我们的互动视频平台,以提供一个新的、巨大的、强大的视频标记工具。
英文摘要
Broadcasters are accumulating vast archives of video footage, representing tens of millions ofhours of programming. They are investing in unlocking their archives to harvest more valuefrom the £2 billion video on demand (VOD) and the £800m online video advertising markets.European and US broadcasters’ archive exploitation budgets range between £25-30 millionpa, in addition to e.£500m spent commissioning online content in 2012. Exploiting these vastarchives requires digitisation and tagging. The former is commoditised, the latter highlyproblematic. Today’s prevalent technique, manual tagging, is expensive, error-prone andinaccurate. Machine tagging algorithms are improving but are still inaccurate, requiringhuman oversight. In cost and time terms, neither alone scales.Codex will combine the latest computer auto-tagging technology with gamified crowd-sourcedmanual tagging to deliver a new, more precise way to create the metadata tags used to accessvideo archives. The goal of our R&D is discovering how best-of-breed technology can workwith techniques that get hobbyists to tag video for free so that people, places, products, andviewers’ social footprints can be tagged inside video faster, more accurately and at lower costthan current solutions. The technology will be licensed to broadcasters to batch process videoand should allow archives to exploited by new B2C business models.Ludifi is uniquely positioned to deliver this research. We create interactive apps that run overweb video, providing free browser-based tools to bloggers to allow their viewers to vote, saveand purchase products, play games and share their interactions with friends over socialnetworks. Our mark-up of hotspots and time-line based tags is simple, effective but manual,with no automated tagging assistance, object tracking or movement sensing, nor anycrowdsourcing. Codex will evolve our interactive video platform to deliver a new, immenselypowerful tool for tagging video.
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