2 resultados para Funerals

em Queensland University of Technology - ePrints Archive


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This is the second part of a paper that explores a range of magico-religious experiences such as immaterial voices and visions, in terms of local cultural, moral and socio-political circumstances in an Aboriginal town in rural Queensland. This part of the paper explores the political and cultural symbolism and meaning of suicide. It charts the saliency of suicide amongst two groups of kin and cohorts and the social meaningfulness and problematic of the voices and visions in relation to suicide, to identity and family forms and to funerals and a heavily drinking lifestyle. I argue that voices and visions are used to reinterpret social experience and to establish meaning and that tragically suicide evokes connectivity rather than anomie and here cannot be understood merely as an individualistic act or evidence of individual pathology. Rather it is about transformation and crossing a threshold to join an enduring domain of Aboriginality. In this life world, where family is the highest social value and where a relational view of persons holds sway, the individualistic practice of psychiatric and other helping professions, is a considerable problem.

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Facial expression recognition (FER) systems must ultimately work on real data in uncontrolled environments although most research studies have been conducted on lab-based data with posed or evoked facial expressions obtained in pre-set laboratory environments. It is very difficult to obtain data in real-world situations because privacy laws prevent unauthorized capture and use of video from events such as funerals, birthday parties, marriages etc. It is a challenge to acquire such data on a scale large enough for benchmarking algorithms. Although video obtained from TV or movies or postings on the World Wide Web may also contain ‘acted’ emotions and facial expressions, they may be more ‘realistic’ than lab-based data currently used by most researchers. Or is it? One way of testing this is to compare feature distributions and FER performance. This paper describes a database that has been collected from television broadcasts and the World Wide Web containing a range of environmental and facial variations expected in real conditions and uses it to answer this question. A fully automatic system that uses a fusion based approach for FER on such data is introduced for performance evaluation. Performance improvements arising from the fusion of point-based texture and geometry features, and the robustness to image scale variations are experimentally evaluated on this image and video dataset. Differences in FER performance between lab-based and realistic data, between different feature sets, and between different train-test data splits are investigated.