Abstract
The increasing ubiquitousness of digital information in our daily lives has positioned video as a favored information vehicle, and given rise to an astonishing generation of social media and surveillance footage. This raises a series of technological demands for automatic video understanding and management, which together with the compromising attentional limitations of human operators, have motivated the research community to guide its steps towards a better attainment of such capabilities. As a result, current trends on cognitive vision promise to recognize complex events and self-adapt to different environments, while managing and integrating several types of knowledge. Future directions suggest to reinforce the multi-modal fusion of information sources and the communication with end-users.
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Acknowledgments
The authors wish to acknowledge the support of the Spanish Research Programs Consolider-Ingenio 2010: MIPRCV (CSD200700018); Avanza I + D Di-CoMa (TSI-020400-2011-55); along with the Spanish projects TIN2009-14501-C02-01 and TIN2009-14501-C02-02; MICIN the A.I. PT2009-0023.
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Fernandez, C., Gonzàlez, J., Tavares, J.M.R.S., Xavier Roca, F. (2013). Towards Ontological Cognitive System. In: Tavares, J., Natal Jorge, R. (eds) Topics in Medical Image Processing and Computational Vision. Lecture Notes in Computational Vision and Biomechanics, vol 8. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0726-9_5
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DOI: https://doi.org/10.1007/978-94-007-0726-9_5
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