Repositories list

• multimediaeval.github.io

  Public
  This repository holds the code to the https://multimediaeval.github.io/ website. The `master` branch contains only the `_site` folder built with Jekyll due to the use of a non-whitelisted plugin. To edit content, please go to the `gh-page` branch.

  github-pagesmediaevalgithub-actions+ 1multimedia-evaluation-benchmark

  HTML

  •31•6•4•0•Updated Sep 24, 2024Sep 24, 2024

• 2019-Emotion-and-Theme-Recognition-in-Music-Task

  Public
  The goal of this task is to automatically recognize the emotions and themes conveyed in a music recording using machine learning algorithms.

  Python

  •3•37•0•2•Updated Jul 6, 2023Jul 6, 2023

• 2022-Medico-Multimedia

  Public
  Python

  •1•0•0•1•Updated Jan 25, 2023Jan 25, 2023

• 2017-AcousticBrainz-Genre-Task

  Public
  This task invites participants to predict genre and subgenre of unknown music recordings (songs) given automatically computed features of those recordings. The goal of our task is to understand how genre classification can explore and address the subjective and culturally-dependent nature of genre categories.

  TeX

  •1•4•0•0•Updated Mar 20, 2022Mar 20, 2022

• 2021-Medico-Multimedia

  Public
  Python

  •2•1•0•0•Updated Dec 21, 2021Dec 21, 2021

• 2020-Flood-Related-Multimedia-Task

  Public
  Python

  •3•1•0•0•Updated Dec 17, 2020Dec 17, 2020

• 2019-Pixel-Privacy-Task

  Public
  This task develops image enhancement approaches that project user privacy. Specifically, it is dedicated to creating technology that invisibly changes or visibly enhances images in such a way that it is no longer possible to automatically infer the location at which they were taken.

  1•3•0•0•Updated Sep 23, 2019Sep 23, 2019

• 2018-Pixel-Privacy-Task

  Public
  This task develops image enhancement approaches that project user privacy. Specifically, it is dedicated to creating technology that invisibly changes or visibly enhances images in such a way that it is no longer possible to automatically infer the location at which they were taken.

  1•2•0•1•Updated Nov 29, 2018Nov 29, 2018

• 2017-Multimedia-Satellite-Task

  Public
  This task requires participants to retrieve and link multimedia content from social media streams of events (e.g. flooding, fires, land clearing) that can be remotely sensed from satellite imagery. The purpose of this task is to augment events captured by satellite images with social media reports in order to provide a more comprehensive view.

  3•2•1•0•Updated Sep 4, 2017Sep 4, 2017