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DiEvent: Towards an Automated Framework for Analyzing Dining Events

Qodseya, Mahmoud and Washha, Mahdi and Sèdes, Florence DiEvent: Towards an Automated Framework for Analyzing Dining Events. (2018) In: IEEE 34th International Conference on Data Engineering Workshops (ICDEW 2018), 16 April 2018 - 19 April 2018 (Paris, France).

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Official URL: https://doi.org/10.1109/ICDEW.2018.00034

Abstract

The analysis of dining events is important and useful for a wide range of applications such as smart restaurants, and for different research areas like sociologists' studies and social interactions analysis. Particularly, the performance and reputation of restaurants is completely dependent on customers satisfaction as a possible metric. With the rapid growth of computer vision technologies, smart restaurants are going to leverage such technologies for indirectly measuring and quantifying customer satisfactions through analyzing videos and images without performing any direct questioner process. However, the large volume of recorded data by cameras makes the manual analysis process computationally expensive in terms of time to quantify customer satisfaction. Hence, in this paper, we introduce a design of a framework, so-called DiEvent, that integrates various components for automatically analyzing dining events. Our framework could be leveraged in different applications and researches, including cooking recipe evaluation in terms of customer satisfaction, performing sociology studies in dining events, and social interactions detection researches.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org This papers appears in Proceedings of ICDEW 2018 ISBN: 978-1-5386-6306-6 Electronic ISSN: 2473-3490 The original PDF of the article can be found at: https://ieeexplore.ieee.org/document/8402037 Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Audience (conference):International conference proceedings
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Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:19 Jul 2019 12:24

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