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

Research Project

Project/Area Number 24650043
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeSingle-year Grants
Research Field Media informatics/Database
Research InstitutionNational Institute of Informatics

Principal Investigator

KATAYAMA Norio  国立情報学研究所, コンテンツ科学研究系, 准教授 (60280559)

Project Period (FY) 2012-04-01 – 2014-03-31
Project Status Completed (Fiscal Year 2013)
Budget Amount *help
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2012: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Keywordsマルチメディア / 放送映像アーカイブ
Research Abstract

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.

Report

(3 results)
  • 2013 Annual Research Report   Final Research Report ( PDF )
  • 2012 Research-status Report

URL: 

Published: 2013-05-31   Modified: 2019-07-29  

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