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VAAM 2016 : Video Analytics for Audience Measurement


When Dec 4, 2016 - Dec 4, 2016
Where Cancún - Mexico
Submission Deadline Sep 30, 2016
Notification Due Oct 15, 2016
Categories    image processing   pattern recognition   computer vision   machine learning

Call For Papers

Call For Papers
VAAM2016 - Video Analytics for Audience Measurement

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

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

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

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

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
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:

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