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Classification of TV News Shots with Mining Frequent Frame Composition in News Video Archives

Classification of TV News Shots with Mining Frequent Frame Composition in News Video Archives
挖掘新闻视频档案中频繁帧构成的电视新闻镜头分类
批准号:
24650043
负责人:
KATAYAMA Norio
金额:
$2.5万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Challenging Exploratory Research
财政年份:
2012
资助国家:
日本
项目状态:
已结题
起止时间:
2012-04-01 至 2014-03-31

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中文摘要
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英文摘要
The aim of our research is to classify TV news shots that are extracted by the cross TV-channel filtering. The cross TV-channel filtering is our formerly proposed method which extracts such news shots that are commonly broadcasted by multiple broadcasters. The classification of TV news shots is based on the video frame composition. With mining frequent frame composition in news video archives both in bottom-up and top-down manners, visual features for the classification have been investigated.
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Fine-grained modeling of the conditional selectivity of video features for the enhancement of video retrieval and filtering
  • 批准号:
    18K11386
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
  • 资助金额:
    $2.83万
  • 财政年份:
    2018
  • 负责人:
    KATAYAMA Norio
  • 依托单位:
Test Bed Development for Constructing Video Ontologies from Video Corpora
  • 批准号:
    21300039
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
  • 资助金额:
    $6.99万
  • 财政年份:
    2009
  • 负责人:
    KATAYAMA Norio
  • 依托单位:
Multimedia Database Technologies for Sophisticated Analysis of Large-Scale Video Corpora
  • 批准号:
    18500094
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
  • 资助金额:
    $2.52万
  • 财政年份:
    2006
  • 负责人:
    KATAYAMA Norio
  • 依托单位:
海外基金