Online annotation of streaming video

流媒体视频在线标注

• 批准号: 1815373
• 金额: --
• 依托单位: University of Surrey
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1815373
• 关键词: Online; annotation; streaming; video

Online semantic annotation of streaming video at the point of capture is important for future media production and distribution. Online Annotation is essential to overcome the bottlenecks of storage and transmission as well as extracting value from the captured content. This research will investigate methods for online analysis of streaming visual content to annotate information on scenes, people and their activities. This Automated annotation will support improved search, indexing and retrieval of media archives for production and personalised consumption. This links to EPSRC research areas on Image and vision computing and Artificial intelligence technologies.

流媒体视频捕获点的在线语义标注对未来的媒体制作和发行具有重要意义。在线注释对于克服存储和传输瓶颈以及从捕获的内容中提取价值至关重要。本研究将探讨流媒体视觉内容的在线分析方法，以注释场景、人物及其活动的信息。这种自动注释将支持改进的搜索、索引和检索媒体档案，用于生产和个性化消费。这链接到EPSRC在图像和视觉计算以及人工智能技术方面的研究领域。

项目成果

The Lexical Gap: An Improved Measure of Automated Image Description Quality

词汇差距：自动图像描述质量的改进衡量标准

• DOI: 10.18653/v1/w19-0603
• 发表时间: 2019
• 作者: Kershaw A