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A comparison between an objective quality measure and the mean annoyance values of watermarked videos., , , and . ICIP (3), page 469-472. IEEE, (2002)Video quality objective metric using data hiding., , and . IEEE Workshop on Multimedia Signal Processing, page 464-467. IEEE, (2002)On the Performance of Visual Semantics for Improving Texture-Based Blind Image Quality Assessment., and . SIBGRAPI, page 330-337. IEEE Computer Society, (2017)An accurate billing mechanism for multimedia communications., , , and . ICME, page 93-96. IEEE Computer Society, (2003)Quality assessment using data hiding on perceptually important areas., , , , and . ICIP (3), page 1200-1203. IEEE, (2005)Annoyance of spatio-temporal artifacts in segmentation quality assessment., , , , and . ICIP, page 345-348. IEEE, (2004)A Referenceless Image Quality Assessment Based on BSIF, CLBP, LPQ, and LCP Texture Descriptors., , , and . IQSP, Society for Imaging Science and Technology, (2019)No-Reference Image Quality Assessment Using Salient Local Binary Patterns., , and . IQSP, Society for Imaging Science and Technology, (2018)A robust error concealment technique using data hiding for image and video transmission over lossy channels., , , and . IEEE Trans. Circuits Syst. Video Techn., 15 (11): 1394-1406 (2005)No-reference video quality metric based on artifact measurements., and . ICIP (3), page 141-145. IEEE, (2005)