@article{(Open Science Index):https://publications.waset.org/pdf/14543,
	  title     = {Video Quality Assessment using Visual Attention Approach for Sign Language},
	  author    = {Julia Kucerova and  Jaroslav Polec and  Darina Tarcsiova},
	  country	= {},
	  institution	= {},
	  abstract     = {Visual information is very important in human perception
of surrounding world. Video is one of the most common ways to
capture visual information. The video capability has many benefits
and can be used in various applications. For the most part, the
video information is used to bring entertainment and help to relax,
moreover, it can improve the quality of life of deaf people. Visual
information is crucial for hearing impaired people, it allows them to
communicate personally, using the sign language; some parts of the
person being spoken to, are more important than others (e.g. hands,
face). Therefore, the information about visually relevant parts of the
image, allows us to design objective metric for this specific case. In
this paper, we present an example of an objective metric based on
human visual attention and detection of salient object in the observed
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {6},
	  number    = {5},
	  year      = {2012},
	  pages     = {554 - 559},
	  ee        = {https://publications.waset.org/pdf/14543},
	  url   	= {https://publications.waset.org/vol/65},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 65, 2012},