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Write-A-video: Computational video montage from themed text

  • Miao Wang
  • , Guo Wei Yang
  • , Shi Min Hu*
  • , Shing Tung Yau
  • , Ariel Shamir
  • *Corresponding author for this work
  • Tsinghua University
  • Harvard University
  • Reichman University

Research output: Contribution to journal › Article › peer-review

Abstract

We present Write-A-Video, a tool for the creation of video montage using mostly text-editing. Given an input themed text and a related video repository either from online websites or personal albums, the tool allows novice users to generate a video montage much more easily than current video editing tools. The resulting video illustrates the given narrative, provides diverse visual content, and follows cinematographic guidelines. The process involves three simple steps: (1) the user provides input, mostly in the form of editing the text, (2) the tool automatically searches for semantically matching candidate shots from the video repository, and (3) an optimization method assembles the video montage. Visual-semantic matching between segmented text and shots is performed by cascaded keyword matching and visual-semantic embedding, that have better accuracy than alternative solutions. The video assembly is formulated as a hybrid optimization problem over a graph of shots, considering temporal constraints, cinematography metrics such as camera movement and tone, and user-specified cinematography idioms. Using our system, users without video editing experience are able to generate appealing videos.

Original languageEnglish
Article number177
JournalACM Transactions on Graphics
Volume38
Issue number6
DOIs
StatePublished - Nov 2019

Keywords

  • Computational cinematography
  • User interaction
  • Video montage

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