EPSRC Network on Vision and Language (V&L Net)

EPSRC 视觉和语言网络 (V

• 批准号: EP/H018557/1
• 负责人: Anya Belz
• 金额: $ 13.28万
• 依托单位: University of Brighton
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2010
• 资助国家: 英国
• 起止时间: 2010 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FH018557%2F1
• 关键词: EPSRC; Network; Vision; Language; V&L

The amount of digital information accessible on the web and, more generally, in data repositories of various sorts isgrowing at an ever faster pace. Increasingly, digital information means visual content (image and video), and thisdevelopment has resulted in a situation where computational solutions are lagging behind a diverse range ofcurrent image/video search, processing and management needs. There is a big, and as yet unbridged, semanticgap between visual content and language. Finding solutions for image/video retrieval, automatic image/videoannotation and similar challenges will require this gap to be bridged, and this in turn will require expertise from boththe computer vision (CV) and natural language processing (NLP) fields. Yet, while language and vision are the twoprimary modalities for human perception and computer-mediated communication, the two corresponding computingscience disciplines hardly talk to each other, and this is part of the reason why the language-vision gap is still sowide: NLP research is perhaps not aware enough of the range of possible applications involving visual content andtheir specific language processing requirements; CV can tend to underestimate the complexity of thelanguage processing problem, and currently uses mostly basic language processing technology, whereassophisticated, high-performance tools exist.We propose an EPSRC Network on Vision and Language, V&L Net, to create a forum for researchers from CVand NLP to meet and exchange ideas, expertise and technology. The UK has some of the world's leadingresearchers in NLP and CV. V&L Net aims to tap this body of expertise to create new strategic partnerships aimed atnarrowing the language-vision gap by developing the theory required for solutions to the difficult challenges posedby our increasingly multi-modal world. A successful network will place the UK at the forefront of developing solutionsat the language-vision intersection which have clear commercial potential.Our overarching goal in V&L Net is the creation of a new interdisciplinary research community working towardscomputational solutions for challenges that involve both language and vision. By (i) bringing researchers from thetwo currently separate disciplines of computer vision and language processing together, (ii) facilitating access torelevant information, expertise, and resources, and (iii) stimulating research and pump-priming individual researchprojects, we aim to engender a substantial increase in interdisciplinary research activity. Through this increase inwork bringing to bear expertise from both computer vision and language processing, we expect to see a stepchange in progress towards solutions for a range of real-world challenges as well as theoretical questions. Whilethe latter will tend to have a more long-term impact (laying the groundwork for future breakthroughs), the formerhave substantial potential to result in ground-breaking new products and services that will improve people's qualityof life in diverse ways even in the short to medium term. People with impairments in sight, hearing and cognitive ability will benefit from assistive technology that will help them access multiple modalities. Improvements in image search and retrieval will enhance online search experience, as well as help institutions such as hospitals and police forces to cope with the massive amounts of images and videos they deal with daily.

网络上可访问的数字信息量，以及更广泛地说，各种数据存储库中的数字信息量正在以前所未有的速度增长。越来越多的数字信息意味着视觉内容（图像和视频），这种发展导致了计算解决方案落后于当前各种图像/视频搜索，处理和管理需求的情况。在视觉内容和语言之间有一个很大的、尚未弥合的语义鸿沟。寻找图像/视频检索、自动图像/视频注释和类似挑战的解决方案将需要弥合这一差距，而这反过来又需要计算机视觉（CV）和自然语言处理（NLP）领域的专业知识。然而，虽然语言和视觉是人类感知和计算机媒介交流的两种主要形式，但这两个相应的计算科学学科几乎没有相互交谈，这也是语言-视觉差距仍然很大的部分原因：NLP研究可能没有充分意识到涉及视觉内容及其特定语言处理要求的可能应用范围; CV可能倾向于低估语言处理问题的复杂性，目前主要使用基本的语言处理技术，其中存在复杂的，高性能的工具。我们提出了一个关于视觉和语言的EPSRC网络，V&L Net，为CV和NLP的研究人员创建一个论坛，以满足和交流想法，专业知识和技术。英国在NLP和CV方面拥有一些世界领先的研究人员。V&L Net旨在利用这一专业知识，建立新的战略合作伙伴关系，旨在通过开发解决日益多模式世界所带来的困难挑战所需的理论，缩小语言与视觉之间的差距。一个成功的网络将使英国处于开发具有明显商业潜力的语言-视觉交叉解决方案的最前沿。我们在V&L Net的总体目标是创建一个新的跨学科研究社区，致力于为涉及语言和视觉的挑战提供计算解决方案。通过（i）将计算机视觉和语言处理这两个目前独立学科的研究人员聚集在一起，（ii）促进获得相关信息，专业知识和资源，以及（iii）刺激研究和泵启动个人研究项目，我们的目标是产生跨学科研究活动的大幅增加。通过这种工作的增加，带来了计算机视觉和语言处理的专业知识，我们希望看到一系列现实世界挑战和理论问题的解决方案的进步。虽然后者往往会产生更长期的影响（为未来的突破奠定基础），但前者有很大的潜力产生突破性的新产品和服务，即使在短期到中期内也会以多种方式改善人们的生活质量。视力、听力和认知能力有障碍的人将受益于辅助技术，帮助他们获得多种模式。图像搜索和检索的改进将增强在线搜索体验，并帮助医院和警察部队等机构科普他们每天处理的大量图像和视频。