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Ethnic Diversity Within Australian Homes: Has Television Caught Up To Social Reality?, Natascha Klocker
Ethnic Diversity Within Australian Homes: Has Television Caught Up To Social Reality?, Natascha Klocker
Faculty of Social Sciences - Papers (Archive)
Inter-ethnic intimacy is on the rise in Australia, bringing an unprecedented level of ethnic diversity into our homes. Yet analyses of media representations of ethnic diversity have concentrated on the community level, neglecting the intimate sphere of family life. This paper explores the possibilities and limits of love within and across ethnic boundaries on fictional Australian television programmes. The results of a nine-week content analysis reveal a mixed picture. Inter-ethnic intimacy was regularly portrayed; but committed, long-term relationships across ethnic boundaries (marriage and co-habitation) were scarce. And although Australian television producers did not shy away from portraying physical intimacy across …
Quality Of Experience-Based Image Feature Selection For Mobile Augmented Reality Applications, Yi Cao, Christian H. Ritz, Raad Raad
Quality Of Experience-Based Image Feature Selection For Mobile Augmented Reality Applications, Yi Cao, Christian H. Ritz, Raad Raad
Faculty of Engineering and Information Sciences - Papers: Part A
Mobile augmented reality applications rely on automatically recognising a visual scene through matching of derived image features. To ensure the Quality of Experience (QoE) perceived by users, such applications should achieve high matching accuracy meanwhile minimizing the waiting time to meet real-time requirement. An efficient solution is to develop an effective feature selection method to select the most robust features against distortions caused by camera capture to achieve high matching accuracy whilst transmission and matching process of the features are significant reduced. Feature selection is also beneficial to reducing the computational complexities of the matching system so that waiting time …
Adaptive And Robust Feature Selection For Low Bitrate Mobile Augmented Reality Applications, Yi Cao, Christian H. Ritz, Raad Raad
Adaptive And Robust Feature Selection For Low Bitrate Mobile Augmented Reality Applications, Yi Cao, Christian H. Ritz, Raad Raad
Faculty of Engineering and Information Sciences - Papers: Part A
Mobile augmented reality applications rely on automatically matching a captured visual scene to an image in a database. This is typically achieved by deriving a set of features for the captured image, transmitting them through a network and then matching with features derived for a database of reference images. A fundamental problem is to select as few and robust features as possible such that the matching accuracy is invariant to distortions caused by camera capture whilst minimising the bit rate required for their transmission. In this paper, novel feature selection methods are proposed, based on the entropy of the image …