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Digital video quality assessment algorithms

Anush K. Moorthy, Kalpana Seshadrinathan, Alan C. Bovik

pp. 139-156

In this chapter we first describe some HVS-based approaches which try to model the visual processing stream described above, since these approaches were originally used to predict visual quality. We then describe recently proposed structural and information-theoretic approaches and feature-based approaches which are commonly used. Further, we describe recent motion-modeling based approaches, and detail performance evaluation and validation techniques for VQA algorithms. Finally, we touch upon some possible future directions for research on VQA and conclude the chapter.

Publication details

DOI: 10.1007/978-0-387-89024-1_6

Full citation:

Moorthy, A. K. , Seshadrinathan, K. , Bovik, A. C. (2009)., Digital video quality assessment algorithms, in B. Furht (ed.), Handbook of multimedia for digital entertainment and arts, Dordrecht, Springer, pp. 139-156.

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