TY - GEN
T1 - Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest
AU - Ramírez, Gabriela
AU - Villatoro, Esaú
AU - Ionescu, Bogdan
AU - Escalante, Hugo Jair
AU - Escalera, Sergio
AU - Larson, Martha
AU - Müller, Henning
AU - Guyon, Isabelle
PY - 2019
Y1 - 2019
N2 - Progress in the autonomous analysis of human behavior from multimodal information has lead to very effective methods able to deal with problems like action/gesture/activity recognition, pose estimation, opinion mining, user tailored retrieval, etc. However, it is only recently that the community has been starting to look into related problems associated with more complex behavior, including personality analysis, deception detection, among others. We organized an academic contest co-located with ICPR2018 running two tasks in this direction. On the one hand, we organized an information fusion task in the context of multimodal image retrieval in social media. On the other hand, we ran another task in which we aim to infer personality traits from written essays, including textual and handwritten information. This paper describes both tasks, detailing for each of them the associated problem, data sets, evaluation metrics and protocol, as well as an analysis of the performance of simple baselines.
AB - Progress in the autonomous analysis of human behavior from multimodal information has lead to very effective methods able to deal with problems like action/gesture/activity recognition, pose estimation, opinion mining, user tailored retrieval, etc. However, it is only recently that the community has been starting to look into related problems associated with more complex behavior, including personality analysis, deception detection, among others. We organized an academic contest co-located with ICPR2018 running two tasks in this direction. On the one hand, we organized an information fusion task in the context of multimodal image retrieval in social media. On the other hand, we ran another task in which we aim to infer personality traits from written essays, including textual and handwritten information. This paper describes both tasks, detailing for each of them the associated problem, data sets, evaluation metrics and protocol, as well as an analysis of the performance of simple baselines.
KW - Handwritten recognition
KW - Information fusion
KW - Multimedia information processing
KW - Personality analysis
KW - Social networks
UR - http://www.scopus.com/inward/record.url?scp=85059940330&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-05792-3_12
DO - 10.1007/978-3-030-05792-3_12
M3 - Conference contribution
AN - SCOPUS:85059940330
SN - 978-303005791-6
VL - 11188
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 127
EP - 139
BT - Pattern Recognition and Information Forensics
A2 - Sidère, Nicolas
A2 - Zhang, Zhaoxiang
A2 - Tian, Yingli
A2 - Jair Escalante, Hugo
A2 - Suter, David
A2 - Branzan Albu, Alexandra
PB - Springer
CY - Cham
T2 - 3rd International Workshop on Computer Vision for Analysis of Underwater Imagery, CVAUI 2018, 7th International Workshop on Computational Forensics, IWCF 2018, and International Workshop on Multimedia Information Processing for Personality and Social Networks Analysis, MIPPSNA 2018 held at 24th International Conference on Pattern Recognition, ICPR 2018
Y2 - 20 August 2018 through 24 August 2018
ER -