8 research outputs found

    No-reference image and video quality assessment: a classification and review of recent approaches

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    Local actors in global politics

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    Globalization and the new information and communication technologies(ICTs) have enabled a variety of local political actors to enter inter-national arenas once exclusive to national states. Multiple types of claim-making and oppositional politics articulate these developments. Going global has been partly facilitated and conditioned by the infrastructure of the global economy, even as the latter is often the object of those oppositional politics. Further, and in my analysis, very importantly, the possibility of global imag-inaries has enabled even those who are geographically immobile to become part of global politics. NGOs and indigenous peoples, immigrants and refugees who become subjects of adjudication in human rights decisions, human rights and environmental activists, and many others are increasingly becoming actors in global politics. That is to say, non-state actors can enter and gain visibility in inter-national fora or global politics as individuals and as collectivities, emerging from the invisibility of aggregate membership in a nation-state exclusively represented by the sovereign. One way of interpreting this is in terms of a

    No-reference image and video quality assessment: a classification and review of recent approaches

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    The field of perceptual quality assessment has gone through a wide range of developments and it is still growing. In particular, the area of no-reference (NR) image and video quality assessment has progressed rapidly during the last decade. In this article, we present a classification and review of latest published research work in the area of NR image and video quality assessment. The NR methods of visual quality assessment considered for review are structured into categories and subcategories based on the types of methodologies used for the underlying processing employed for quality estimation. Overall, the classification has been done into three categories, namely, pixel-based methods, bitstream-based methods, and hybrid methods of the aforementioned two categories. We believe that the review presented in this article will be helpful for practitioners as well as for researchers to keep abreast of the recent developments in the area of NR image and video quality assessment. This article can be used for various purposes such as gaining a structured overview of the field and to carry out performance comparisons for the state-of-the-art methods
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