Google Research

Interactive Exploration of Journalistic Video Footage through Multimodal Semantic Matching

  • Sarah Ibrahimi
  • Shuo Chen
  • Devanshu Arya
  • Arthur Camara
  • Yunlu Chen
  • Tanja Crijns
  • Maurits van der Goes
  • Thomas Mensink
  • Emiel van Miltenburg
  • Daan Odijk
  • William Thong
  • Jiaojiao Zhao
  • Pascal Mettes
ACM Multimedia (2019) (to appear)

Abstract

This demo presents a system for journalists to explore video footage for broadcasts. Daily news broadcasts contain multiple news items that consist of many video shots and searching for relevant footage is a labor intensive task. Without the need for annotated video shots, our system extracts semantics from footage and automatically matches these semantics to query terms from the journalist. The journalist can then indicate which aspects of the query term need to be emphasized, e.g. the title or its thematic meaning. The goal of this system is to support the journalist in their search process by encouraging interaction with the system.

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