SVD-based quality metric for image and video using machine learning
We study the use of machine learning for visual quality evaluation with comprehensive singular value decomposition (SVD)-based visual features. In this paper, the two-stage process and the relevant work in the existing visual quality metrics are first introduced followed by an in-depth analysis of S...
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Main Authors: | , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/96456 http://hdl.handle.net/10220/11412 |
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Institution: | Nanyang Technological University |
Language: | English |
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