SOUND-ADAGIO: Audio and image analysis for social sensing

Welcome to SOUND-ADAGIO

Data Analysis is comprised of a dedicated component for each type of data to be analysed in social-media posts. In this respect, the audio (SOUND) and video (DIAPASON) modules bring added value to microtext analysis. His schema can be supplemented with context data from audio analysis and/or image analysis, which are concurrently executed, both to verify or rebut event-related information detected in the text or to complete missing information in the knowledge schema.

The video content can also be taken into consideration for this context-augmentation process by analyzing its audio and image components separately in the corresponding modules.




Research Team

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Andrés Bueno Crespo

(Module Coordinator)

Universidad Católica de Murcia

abueno@ucam.edu

https://orcid.org/0000-0003-1734-6852

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Andrés Muñoz Ortega

Universidad de Cádiz

amunoz@ucam.edu

https://orcid.org/0000-0002-8569-3533

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Francisco Arcas Túnez

Universidad Católica San Antonio de Murcia

farcas@ucam.edu

https://orcid.org/0000-0003-4892-5902

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Raquel Martínez España

Universidad de Murcia

raquel.m.e@um.es

https://orcid.org/0000-0002-6750-2203

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Juan Miguel Navarro

Universidad Católica de Murcia

jmnavarro@ucam.edu

https://orcid.org/0000-0002-1409-8745

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Jesús Soto Espinosa

Universidad Católica de Murcia

jsoto@ucam.edu

https://orcid.org/0000-0002-0012-0526

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Manuel Curado Navarro

Universidad Católica de Murcia

mcurado@ucam.edu

https://orcid.org/0000-0003-2307-1760

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Massimo Mecella

Sapienza Università di Roma, Italy

https://orcid.org/0000-0002-9730-8882



Acknowledgement

Agencia Estatal de Investigación

SOUND-ADAGIO is part of the research project "Smart multi-modal crowdsensing-based system as a service oriented to the prediction of social problems (ALLEGRO)", grant PID2020-112827GB-I00 funded by MCIN/AEI/ 10.13039/501100011033.

Contact Us

For further information, contact Andrés Bueno Crespo: abueno@ucam.edu