@article{(Open Science Index):https://publications.waset.org/pdf/13509,
	  title     = {The Content Based Objective Metrics for Video Quality Evaluation},
	  author    = {Michal Mardiak and  Jaroslav Polec},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper we proposed comparison of four content based objective metrics with results of subjective tests from 80 video sequences. We also include two objective metrics VQM and SSIM to our comparison to serve as “reference” objective metrics because their pros and cons have already been published. Each of the video sequence was preprocessed by the region recognition algorithm and then the particular objective video quality metric were calculated i.e. mutual information, angular distance, moment of angle and normalized cross-correlation measure. The Pearson coefficient was calculated to express metrics relationship to accuracy of the model and the Spearman rank order correlation coefficient to represent the metrics relationship to monotonicity. The results show that model with the mutual information as objective metric provides best result and it is suitable for evaluating quality of video sequences.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {6},
	  number    = {6},
	  year      = {2012},
	  pages     = {847 - 852},
	  ee        = {https://publications.waset.org/pdf/13509},
	  url   	= {https://publications.waset.org/vol/66},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 66, 2012},
	}