Summarization of User-Generated Sports Video by Using Deep Action Recognition Features

25 Sep 2017Antonio Tejero-de-PablosYuta NakashimaTomokazu SatoNaokazu YokoyaMarko LinnaEsa Rahtu

Automatically generating a summary of sports video poses the challenge of detecting interesting moments, or highlights, of a game. Traditional sports video summarization methods leverage editing conventions of broadcast sports video that facilitate the extraction of high-level semantics... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet