Graduate School and Research Center In communication systems

Toward emotion indexing of multimedia excerpts

Paleari, Marco;Huet, Benoit

CBMI 2008, 6th International Workshop on Content Based Multimedia Indexing, June, 18-20th 2008, London, UK

Best student paper award

Multimedia indexing is about developing techniques allowing people to effectively find media. Content-based methods become necessary when dealing with large databases. Current technology allows exploring the emotional space which is known to carry very interesting semantic information. In this paper we state the need for an integrated method which extracts reliable affective information and attaches this semantic information to the medium itself. We describe SAMMI [1], a framework explicitly designed to fulfill this need and we present a list of possible applications pointing out the advantages that the emotional information can bring about. Finally, different scenarios are considered for the recognition of the emotions which involve different modalities, feature sets, fusion algorithms, and result optimization methods such as temporal averaging or thresholding.

Document Doi Bibtex

Keywords:content-based retrieval, emotion recognition, indexing, multimedia databases, optimisation
Type:Conference
Language:English
City:London
Country:UNITED KINGDOM
Date:
Department:Multimedia Communications
Eurecom ref:2489
Copyright: © IEE or IET. Personal use of this material is permitted. The definitive version of this paper was published in CBMI 2008, 6th International Workshop on Content Based Multimedia Indexing, June, 18-20th 2008, London, UK and is available at : http://dx.doi.org/10.1109/CBMI.2008.4564978
Bibtex: @inproceedings{EURECOM+2489, doi = {http://dx.doi.org/10.1109/CBMI.2008.4564978 }, year = {2008}, title = {{T}oward emotion indexing of multimedia excerpts}, author = {{P}aleari, {M}arco and {H}uet, {B}enoit}, booktitle = {{CBMI} 2008, 6th {I}nternational {W}orkshop on {C}ontent {B}ased {M}ultimedia {I}ndexing, {J}une, 18-20th 2008, {L}ondon, {UK}}, address = {{L}ondon, {UNITED} {KINGDOM}}, month = {06}, url = {http://www.eurecom.fr/publication/2489} }
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