Inria Grenoble - Rhône-Alpes, UJF - Université Joseph Fourier - Grenoble 1, INPG - Institut National Polytechnique de Grenoble , CNRS - Centre National de la Recherche Scientifique : UMR5217
Abstract : We investigate the use of two visual descriptors: Local Bi-nary Patterns-Three Orthogonal Planes(LBP-TOP) and Dense Trajectories for depression assessment on the AVEC 2014 challenge dataset. We encode the visual information gen-erated by the two descriptors using Fisher Vector encod-ing which has been shown to be one of the best performing methods to encode visual data for image classification. We also incorporate audio features in the final system to intro-duce multiple input modalities. The results produced using Linear Support Vector regression outperform the baseline method[16].
https://hal.inria.fr/hal-01081358
Contributeur : Varun Jain
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Soumis le : vendredi 7 novembre 2014 - 15:59:36
Dernière modification le : mercredi 11 avril 2018 - 01:55:05
Document(s) archivé(s) le : dimanche 8 février 2015 - 10:46:19
Varun Jain, James L. Crowley, Anind Dey, Augustin Lux. Depression Estimation Using Audiovisual Features and Fisher Vector Encoding. ACM Multimedia 2014, Nov 2014, Orlando, FL, United States. 〈10.1145/2661806.2661817〉. 〈hal-01081358〉
