Depression Estimation Using Audiovisual Features and Fisher Vector Encoding - Archive ouverte HAL Access content directly
Conference Papers Year :

Depression Estimation Using Audiovisual Features and Fisher Vector Encoding

(1, 2) , (1, 2) , (3) , (1, 2)
1
2
3

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].
Fichier principal
Vignette du fichier
avec18-jainATS.pdf (680.12 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01081358 , version 1 (07-11-2014)

Identifiers

Cite

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⟩
230 View
688 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More