mediaeval 2016 - emotional impact of movies task

20
MediaEval 2016 Emotional Impact of Movies Task Organizers: Emmanuel Dellandréa, Liming Chen, Yoann Baveye, Mats Sjöberg, Christel Chamaret Contact: Emmanuel Dellandréa – [email protected] 1 MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Upload: multimediaeval

Post on 09-Jan-2017

37 views

Category:

Science


0 download

TRANSCRIPT

Page 1: MediaEval 2016 - Emotional Impact of Movies Task

MediaEval 2016Emotional ImpactofMovies Task

Organizers: Emmanuel Dellandréa, Liming Chen, Yoann Baveye, MatsSjöberg, Christel Chamaret

Contact:EmmanuelDellandréa – [email protected]

1MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 2: MediaEval 2016 - Emotional Impact of Movies Task

Context

Anevolution ofprevious years tasks onviolenceandaffectprediction from videosApplications:Personalized contentdeliveryMovie recommendationVideo editing supervisionVideo summarizationProtectionofchildren from potential harmful content

2MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 3: MediaEval 2016 - Emotional Impact of Movies Task

Representation ofemotions

3MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 4: MediaEval 2016 - Emotional Impact of Movies Task

Task description

Deploy multimedia features andmodels toautomatically predict theemotional impactofmoviesEmotionconsidered interms ofinduced valenceandarousalTwo subtasks:Globalemotion prediction:predict ascoreofinducedvalence(negative-positive)andinduced arousal(calm-excited)forashortvideo clip(~10s)Continuousemotionprediction:Predict thevalenceandarousalcontinuously along longvideos

ØAscoreofinduced valenceandarousalshould be provided foreach 1s-segmentofthevideo

4MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 5: MediaEval 2016 - Emotional Impact of Movies Task

Run submissions andevaluation

Upto5runs foreach subtaskArequired run which usesnoexternal trainingdata,only theprovided development datais allowed

Standardevaluationmetrics:Mean SquareErrorPearson’s Correlation Coefficient

5MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 6: MediaEval 2016 - Emotional Impact of Movies Task

Development dataset

Discrete LIRIS-ACCEDE9,800video clipsfrom 160moviesunder Creative CommonslicensesDurationbetween 8sand12sBasicsetoffeaturesRanking according tovalenceandarousal

Continuous LIRIS-ACCEDE30movies selected among the160Durationbetween 117sand4,566s(totalduration:~7hours)Continuous induced valenceandarousalself-assessments

6

LIRIS-ACCEDE available at: http://liris-accede.ec-lyon.fr

MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 7: MediaEval 2016 - Emotional Impact of Movies Task

Testdataset

From 49newmovies under Creative Commonslicenses1,200additional shortvideo clipsforthefirstsubtask (between 8and12seconds)10additional longmovies (from 25minutesto1.5hours)forthesecondsubtask (foratotaldurationof11.48hours)

7MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 8: MediaEval 2016 - Emotional Impact of Movies Task

Groundtruth

Valenceandarousalranking:Pairwise video comparisonsonCrowdFlower (crowdsourcing)Annotators asked tofocusontheemotion they feltSimpletask:Which oneconveys themostpositiveemotion?Which oneconveys thecalmest emotion?

Quicksort process torank allvideos

8MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 9: MediaEval 2016 - Emotional Impact of Movies Task

Groundtruth

From rankings toratings:Ratingscollected for40video clipsregularly distributed28trained participantsinacontrolled environmentRatingsestimated using Gaussian Process models

9

Arousal Valence

MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 10: MediaEval 2016 - Emotional Impact of Movies Task

Groundtruth

Continuous annotation:Induced valenceandarousalself-assessments16participantsModifiedGtrace interfaceandjoystick

10MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 11: MediaEval 2016 - Emotional Impact of Movies Task

Task participation

13teamregistered,5havesubmitted runsGrandtotalof40run submissionsGlobalsubtask:5 teams,18runs

Continuous subtask:Fullruns:

4 teams,17runs

Lightruns (subset ofthetestset:5movies,totalduration:4.82hours):

1team,5runs

11MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 12: MediaEval 2016 - Emotional Impact of Movies Task

Participants’approaches

FeaturesVisualfeaturesDeep features,SIFTfeatures

AudiofeaturesStatistical acoustic features (OpenSmile),MFCC

TemporalfeaturesImproved DenseTrajectories,Feature Dynamic HistoryHistogram

Feature dimensionreductionSequential Backward Selection,Arousal-ValenceDiscriminantPreserving Embedding

12MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 13: MediaEval 2016 - Emotional Impact of Movies Task

Participants’approaches

Regression modelsLinear regressionSVRNeuralnetworksPartialLeastSquaresLeastSquaresboostingRandom forestsDeep neuralnetworksLongShort-TermMemorymodels

13MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 14: MediaEval 2016 - Emotional Impact of Movies Task

Globalsubtask results

Valence

14MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 15: MediaEval 2016 - Emotional Impact of Movies Task

Globalsubtask results

Arousal

15MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 16: MediaEval 2016 - Emotional Impact of Movies Task

Continuous subtask results

Valence

16MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 17: MediaEval 2016 - Emotional Impact of Movies Task

Continuous subtask results

Arousal

17MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 18: MediaEval 2016 - Emotional Impact of Movies Task

Conclusion

Participants’approaches provided encouraging results,particularly fortheglobalsubtaskArousalbetter predicted than valence(consistentwiththeliterature)Thecontinuous subtask remains particularly challengingOnly oneteamproposed forthecontinuous subtask anapproach tomodeltemporaldependencies (with LSTM)Halfoftheregistered participantshavesubmitted runsè task too difficult ?Thisyear newtestsetasanextensionofLIRIS-ACCEDEdataset available athttp://liris-accede.ec-lyon.fr

18MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 19: MediaEval 2016 - Emotional Impact of Movies Task

ThefutureoftheEmotionImpacttask

Interesting tocontinue?Anovel orientationofthetask ?

Ø Tobe discussed during thetechnical retreat onFriday

19MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.

Page 20: MediaEval 2016 - Emotional Impact of Movies Task

Programofthesession

Emotional Impactsession:Friday21st,9:00-9:30BULinMediaEval 2016Emotional ImpactofMoviesTask (Asim JanandYonaFalinie,BrunelUniversity,London,UnitedKingdom)MiningEmotional Features ofMovies (YangLiu,HongKongBaptist University,China)

Technical retreat:Friday21st,9:45-10:45Lessons learnedThefutureofthetaskAny other topics…

20MediaEval 2016 Workshop, Oct. 20-21, 2016, Hilversum, Netherlands.