Graduate School and Research Center in Digital Sciences

Using emotions to tag media

Paleari, Marco;Duffy, Brian;Huet, Benoit

Jamboree 2007, Workshop By and For KSpace PhD Students, September, 15th 2007, Berlin, Germany

Best Poster Award (2nd price)

Multimedia information indexing and retrieval is about developing techniques which allow people to effectively find the media they are looking for. Content-based methods become necessary when dealing with big databases due to the limitations inherent in metadata-based systems. Current technology allows researchers to explore the emotional space which is known to carry very interesting semantic information, but emotion recognition systems, however, lack sufficient reliability when dealing with real world data. A possible solution to this problem resides in the multimodal fusion paradigm which aims at improving robustness to real world noise. We state the need for an integrated methodology which extracts reliable affective information through a multimodal fusion system and tags this semantic information to the medium itself. A framework, EMMA, currently under development in our laboratory, will be described.

Document Bibtex

Title:Using emotions to tag media
Type:Conference
Language:English
City:Berlin
Country:GERMANY
Date:
Department:Data Science
Eurecom ref:2353
Bibtex: @inproceedings{EURECOM+2353, year = {2007}, title = {{U}sing emotions to tag media}, author = {{P}aleari, {M}arco and {D}uffy, {B}rian and {H}uet, {B}enoit}, booktitle = {{J}amboree 2007, {W}orkshop {B}y and {F}or {KS}pace {P}h{D} {S}tudents, {S}eptember, 15th 2007, {B}erlin, {G}ermany}, address = {{B}erlin, {GERMANY}}, month = {09}, url = {http://www.eurecom.fr/publication/2353} }
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