Combined shape and appearance descriptors for visual object recognition

用于视觉对象识别的组合形状和外观描述符

• 批准号: DP0988439
• 负责人: Prof Anton van den Hengel
• 金额: $ 13.84万
• 依托单位: The University of Adelaide
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2009
• 资助国家: 澳大利亚
• 起止时间: 2009-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0988439
• 关键词: Combined; shape; appearance; descriptors; visual

The quantity of video generated each year is expanding rapidly. This increasing volume of visual information means that it is more likely that any particular event will be recorded, but that the footage will be harder to find. This applies to a collection of home videos as much as to television and movie footage. The object-recognition method to be developed has the potential to alleviate this situation, in which vast amounts of video data are available but have little value. Such an outcome would be a boon for Australian industry and offer a valuable export opportunity.

每年产生的视频数量正在迅速增长。这种不断增长的视觉信息量意味着，任何特定事件都更有可能被记录下来，但镜头将更难找到。这不仅适用于电视和电影片段，也适用于家庭视频集合。即将开发的目标识别方法有可能缓解这种情况，在这种情况下，大量的视频数据可用，但几乎没有价值。这样的结果将有利于澳大利亚的工业，并提供一个宝贵的出口机会。