RFA at MediaEval 2015 affective impact of movies task: A multimodal approach

Ionut Mironica, Bogdan Ionescu, Mats Sjöberg, Markus Schedl, Marcin Skowron

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

6 Citations (Scopus)

Abstract

The MediaEval 2015 Affective Impact of Movies Task challenged participants to automatically find violent scenes in a set of videos and, also, to predict the affective impact that video content will have on viewers. We propose the use of several multimodal descriptors, such as visual, motion and auditory features, then we fuse their predictions to detect the violent or affective content. Our best-performing run with regard to the official metric received a MAP of 0.1419 in the violence detection task, and an accuracy of 45.038% for the arousal estimation and 36.123% for the valence estimation.

Original languageEnglish
Title of host publicationMultimedia Benchmark Workshop
Subtitle of host publicationWorking Notes Proceedings of the MediaEval 2015 Workshop, Wurzen, Germany, September 14-15, 2015
PublisherCEUR
Number of pages3
Publication statusPublished - 2015
MoE publication typeA4 Article in a conference publication
EventMultimedia Benchmark Workshop - Wurzen, Germany
Duration: 14 Sep 201515 Sep 2015

Publication series

NameCEUR Workshop Proceedings
PublisherRheinisch-Westfaelische Technische Hochschule Aachen
Volume1436
ISSN (Electronic)1613-0073

Workshop

WorkshopMultimedia Benchmark Workshop
CountryGermany
CityWurzen
Period14/09/201515/09/2015

Fingerprint

Dive into the research topics of 'RFA at MediaEval 2015 affective impact of movies task: A multimodal approach'. Together they form a unique fingerprint.

Cite this