课题基金 / 基金详情

Digital video analysis based on contexts

Digital video analysis based on contexts
基于上下文的数字视频分析
批准号:
36726-2010
负责人:
Li, ZeNian
金额:
$2.26万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2012
资助国家:
加拿大
项目状态:
已结题
起止时间:
2012-01-01 至 2013-12-31

项目摘要

项目成果

Li, ZeNian的其他基金

相似基金

相关文献

中文摘要
翻译
数字视频承载着丰富的多媒体信息,涉及的数据量巨大。 近年来,研究者们提倡视频中的上下文信息对于理解视频内容至关重要,这样视频的处理和检索才能更可靠。 由于其额外的时间维度,数字视频确实有助于上下文分析。 然而,语境本身是一个难以捉摸的主题。 虽然简单的视觉特征(颜色,纹理,形状等)它们的几何和时间关系可以提供一些上下文信息,但它们通常是有限的和不可靠的。
英文摘要
Digital video carries rich multimedia information and it involves insurmountable amount of data. In recent years, researchers have advocated that contextual information in the video is vital for understanding its content so its processing and retrieval can be more reliable. Because of its additional time dimension, digital video indeed facilitates contextual analysis. However, context itself is an elusive subject. Although simple visual features (color, texture, shape, etc.) and their geometric and temporal relationships can provide some contextual information, they are often limited and unreliable.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Object Detection and Recognition in Active Video
  • 批准号:
    RGPIN-2016-03939
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.6万
  • 财政年份:
    2021
  • 负责人:
    Li, ZeNian
  • 依托单位:
Object Detection and Recognition in Active Video
  • 批准号:
    RGPIN-2016-03939
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.6万
  • 财政年份:
    2020
  • 负责人:
    Li, ZeNian
  • 依托单位:
Object Detection and Recognition in Active Video
  • 批准号:
    RGPIN-2016-03939
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.6万
  • 财政年份:
    2019
  • 负责人:
    Li, ZeNian
  • 依托单位:
Object Detection and Recognition in Active Video
  • 批准号:
    RGPIN-2016-03939
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.6万
  • 财政年份:
    2018
  • 负责人:
    Li, ZeNian
  • 依托单位:
海外基金