VAAM2016 - Video Analytics for Audience Measurement Call for Papers

Call For Papers 

VAAM2016 - Video Analytics for Audience Measurement 
http://vaam.isasi.cnr.it

4th December 2016
Cancún, Mexico
in conjunction with the 23rd International Conference on Pattern Recognition (ICPR)

Paper submission deadline: 30 September 2016
Papers will be published on Springer LNCS as post-proceedings
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Consumers today have more media and channel choices than ever
before. Audience measurement is a key challenge for several media and
retail owners to understand, in an anonymous way, the level of
engagement of users and consumers. Future SmartTV, Retail and Digital
Signage sectors are just few examples where video analytics may help
developing the respective. Collecting anonymous information from users
and consumers is important to measure the effectiveness of a
campaign/television show and to take prompt actions to maximize the
attention of people to the ad/show or to the product space. The need
for measuring consumer experience(s) stimulates a multidisciplinary
approach that brings together ethologist, psychologist, marketing and
media planner professionals to design and test new metrics, and to
study and understand social behaviours of social media.

Video analytics may help understanding the effectiveness of the
branded message in a television show or out-of-home by observing and
measuring public opinion and polling, geographical concentration of
conversation of viewers. To this aim, pattern recognition technologies
play an important role in audience measurement for their capability to
understand several visual cues such as demographics, free gaze
estimation, dwell time, emotion and group people proxemics, where low
spatial resolution of acquired subjects, changing of the pose,
occlusion, illumination changes, large variability of intra-class
female age and ethnicity cohorts represent critical aspects for
recognition.
 
The aim of this workshop is to offer an overview of recent
development, state of the art methods and systems for audience
measurements in retail and digital signage, to attract end-users, and
to stimulate the creation of appropriate benchmark dataset to be used
as a reference tool for the development of novel audience measurement
algorithms.

Researchers and practitioners are invited to submit their contribution
spanning on or more of the following topics:

    Privacy preservation in audience measurement 
    Big Data analytics for audience measurement
    Behaviour analysis 
    Emotion analysis
    Free eye gaze estimation
    People counting in multi-camera network
    People recurrence in long time window
    Group of related people: detection, tracking and behaviour analysis
    Dwell time estimation
    Gender recognition
    Ethnicity recognition
    Age and Age group estimation
    Path optimization and queue management in the point of sale
    Modelling consumer behaviour by RF and depth signals fusion
    Multimodal approaches and information fusion for audience measurement
    Social media and mobility engagement 
    New annotated datasets 


Accompanying Demos are also encouraged to be shown in the scheduled
Demo session

IMPORTANT DATES
Paper submission deadline: 		30 September 2016
Paper acceptance notification:  	15 October 2016


WORKSHOP ORGANIZERS  
Sebastiano Battiato University of Catania IT
Andrea Cavallaro Queen Mary University of London UK
Cosimo Distante National Research Council - CNR IT

TECHNICAL PROGRAM COMMITTEE 
Modesto Castrillón-Santana 	University of Las Palmas de Gran Canaria ES

Rama Chellappa 		University of Maryland USA
Rita Cucchiara 		University of Modena & Reggio Emilia IT 
Giovanni M. Farinella 	University of Catania IT
Emanuele Frontoni		Università Politecnica delle Marche IT 
Kenneth Funes 		Idiap Research Institute CH  
Luiz M. Garcia Gonçalves 	Universidade Federal do Rio Grande do Norte BR
Guodong Guo 		West Virginia University USA
Abdenour Hadid 		University of Oulu FI
Hu Han 			Michigan State University USA
Vladimir V. Khryashchev 	P.G. Demidov Yaroslavl State University RU
Marco Leo 			National Institute of Optics - CNR IT
Satu-Marja Mäkelä 		VTT Technical Research Centre of Finland FI
Pier Luigi Mazzeo 		CNR IT
Djamal Merad 		CNRS FR
Javier Lorenzo Navarro 	University of Las Palmas de Gran Canaria ES
Gennaro Percannella 	University of Salerno IT
Giovanni Puglisi 		University of Catania IT 
Marco Quintana 		Universidad Politecnica de Madrid  ES 
Gabriella Sanniti di Baja 	CNR IT
Paolo Spagnolo 		CNR IT
Oscar Deniz Suarez 		Universidad de Castilla-La Mancha ES
Matteo Testori			Dialogica IT
Dit-Yan Yeung 		Hong Kong University of Science and Technology PRC

For more information: http://vaam.isasi.cnr.it