Abstract
Our research is focused on examining the Image Quality Assessment Model based on the MPEG-7 descriptor and the No-Reference model. The model retrieves a reference image using image search and evaluate its subject score as a pseudo Reduced-Reference. The MPEG-7 descriptor was originally used for content retrieval, but we examine whether the MPEG-7 descriptor can be used for image quality assessment as well. We have examined the performance of the proposed model and the results revealed that this method has a high performance rating (correlation: 0.98, average error : 0.17, maximum error : 0.77).
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Sato, M., Gutu, D., Horita, Y. (2010). A New Image Quality Assessment Model Based on the MPEG-7 Descriptor. In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15702-8_15
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DOI: https://doi.org/10.1007/978-3-642-15702-8_15
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