Final Call for Participation and IJCV Special Issue: MIPPSNA Challenge & Workshop @ ICPR 2018
Hugo Jair
[Apologies for multiple postings]
***********************************************************************
3rd CALL FOR PARTICIPATION
Multimedia Information Processing for Personality & Social Networks Analysis Challenge & Workshop
2018 International Conference on Pattern Recognition
August 20-24, Beijing, China
Web site: http://chalearnlap.cvc.uab.es/challenge/27/description/
************************************************************************
***** News!******
We are guest editing a Special Issue on "Analyzing Human Behavior from Social Media Data" in the International Journal of Computer Vision, associated to the challenge and workshop!
http://chalearnlap.cvc.uab.es/special-issue/31/description/
Multimedia information processing is a fruitful research topic that addresses a large number of tasks, among them, those focusing on the analysis of human behavior. Although great advances have been made in the so-called Looking At People field, it is only recently that attention from this area has been targeting problems that have to do with more complex behaviors. For instance, personality and social behaviors are just starting to be explored from a multimedia information processing perspective.
In this context, the ICPR 2018 Multimedia Information Processing for Personality & Social Networks Analysis challenge prospective participants on the analysis of non-obvious human behavior with two tasks:
***DivFusion***
Information fusion for social image retrieval and diversification. Diversification of image search results is a hot research problem in multimedia. Search engines are fostering techniques that allow for providing the user with a diverse representation of his search results, rather than providing redundant information, e.g. the same perspective of a monument, or location etc. The DivFusion task builds on the MediaEval Retrieving Diverse Social Images Tasks and challenges the participants to develop highly effective information fusion techniques. The participants are provided with several query results, content descriptors and output of various existing diversification systems. They are to employ fusion strategies to refine the retrieval results thus to improve even more the diversification. The data consist of hundreds of Flickr image query results (>600 queries, both single- and multi- topic) and include: images (up to 300 images per query), social metadata, descriptors for visual, text, social information as well as deep learning features, expert annotations for image relevance and diversification (i.e. clustering of images according to the similarity of their content) and more than 180 diversification system outputs.
***HWxPI***
Estimating the personality traits of users from their handwritten texts and the corresponding transcripts (image and text modalities). The challenge comprises two phases: a development and a final phase. For the first phase, the participants should develop their systems using a set of development pairs of handwritten essays, including image and text from 418 subjects. Each subject has an associated class (either 1 or 0) corresponding to the presence of a high pole or a low pole of a specific personality trait. The traits correspond to the Big Five personality models used in psychology: extraversion, agreeableness, conscientiousness, emotional stability, and openness to experience. Participants have to develop a classifier to predict the pole of each trait by including both modalities (i.e. text and visual). For the final evaluation phase, an independent set of 293 unlabeled samples will be provided to the participants, who will have to provide predictions using the models trained on the development data.
***********************
Target communities
***********************
Both tracks lie at the frontier of research on Looking At People and multimedia information processing, and target communities such as (but not limited to): information retrieval (text, vision, multimedia, social media, etc.), information fusion, machine learning, deep learning, data mining, natural language processing, image and text processing.
The challenges run in the CodaLab platform (http://codalab.org/), and results will be presented at the IAPR ICPR 2018 conference in Beijing, China (http://www.icpr2018.org/). Participants obtaining the best results will be invited to submit a paper to a dedicated Special Issue organized with a top tier journal from the field (International Journal of Computer Vision).
*******************************
Important dates (challenge)
*******************************
- Competition starts (& release of the data): February 25, 2018
- Competition ends: June 16, 2018
- Challenge award ceremony: August 21, 2018 (@ ICPR 2018)
**********************************************
Workshop & Special Issue
**********************************************
There is an ICPR Workshop endorsed by IAPR associated to the challenge. Participants are encouraged to submit papers describing their methods; however, the call for papers is open to the public. Accepted papers will be presented at ICPR and will be published in workshop proceedings. The following are topics of interest for the workshop:
All aspects of human behavior analysis in the context of social networks by using multimodal information. Including but not limited to gesture/action, emotion recognition, personality analysis and human-computer interaction.
Personality analysis from multimodal information. Including textual, visual, and audible information.
Information fusion for the analysis of human behavior in the context of social networks.
Information retrieval, categorization and clustering of social networks data, including images, text, and videos.
Analysis of human intention from social networks data involving multimodal information.
New tasks, data sets and benchmarks on human behavior analysis from multimodal information
Solutions and novel methodologies for approaching the tasks considered in the ICPR18 Multimedia Information Processing for Personality and Social Networks Analysis Contest
Submissions on related topics will be considered as well.
********************************
Important dates (Workshop)
********************************
- Paper submission: June 30, 2018
- Acceptance notification: July 10, 2018
- Camera ready submission: July 18, 2018
- Workshop: August 21, 2018 (@ ICPR 2018)
For more details please visit: http://chalearnlap.cvc.uab.es/workshop/28/description/
Additionally, we are editing a special issue in the prestigious International Journal of Computer Vision on topics related to the challenge and workshop. The SI focuses on Analyzing Human Behavior from Social Media Data. Challenge participants and authors of workshop papers will be invited to submit articles to this SI. A full list of topics and the submission procedure are detailed in the following link:
http://chalearnlap.cvc.uab.es/special-issue/31/description/
Submissions to the IJCV Special Issue are due in March 2019
***********************
Overall coordination
***********************
Hugo Jair Escalante, (hugo...@gmail.com) , INAOE, Mexico, ChaLearn USA
Bogdan Ionescu, University Politehnica of Bucharest, Romania
Esaú Villatoro, Universidad Autonoma Metropolitana, campus Cuajimalpa, Mexico
Gabriela Ramírez, Universidad Autonoma Metropolitana, campus Cuajimalpa, Mexico
Sergio Escalera, Computer Vision Center & University of Barcelona, Barcelona, Spain
Martha Larson, Delft University of Technology, Netherlands
Henning Müller, University of Applied Sciences Western Switzerland (HES-SO), Switzerland
Ifeoma Nwogu
--
You received this message because you are subscribed to the Google Groups "gesturechallenge" group.
To unsubscribe from this group and stop receiving emails from it, send an email to gesturechallen...@googlegroups.com.
For more options, visit https://groups.google.com/d/optout.
Hugo Jair Escalante
Dear Hugo,I was just taking a look at the IJCV special edition on Analyzing Human Behavior from Social Media Data, with due data in March 2019, and I had a couple of questions:1. We are currently working on analyzing several interesting hidden behavioral characteristics on text data from tweeter (much of social media data is in text form), but since this is IJCV, I wondered if we could submit research that is based solely on text with no images/videos involved.
2. My other question involves image data not from a social media platform. We have another project where we are working with videos collected from small groups of people and we are trying to observe how they interact with each other. This data was not collected from social media, just from a social setting.
Computer Science Department,
National Institute of Astrophysics, Optics and Electronics
Luis Enrique Erro # 1, Tonantzintla, 72840, Puebla, México
hugo...@gmail.com, hugo...@inaoep.mx
http://ccc.inaoep.mx/~hugojair/ http://hugojair.org/