|Author||Martinez-Rach, M. ♦ López, O. ♦ Piñol, P. ♦ Malumbres, M. P.|
|Subject Domain (in DDC)||Computer science, information & general works ♦ Data processing & computer science|
|Subject Keyword||Human Quality Perception ♦ Mobility State ♦ Many Factor ♦ Packet Loss Scenario ♦ Quality Distortion ♦ Video Sequence ♦ Human Visual System ♦ Destination User ♦ H264 Avc Codec ♦ Different Bit-rates ♦ Variable Congestion ♦ Quality Assessment Metric V ♦ Performance Evaluation ♦ Relevant Objective Quality Metric ♦ Error Resilience Option ♦ Packet Loss ♦ Wireless Manet Environment ♦ Manet Wireless Network ♦ Different Scenario ♦ Objective Video Quality ♦ Video Data|
|Description||It is well known that PSNR does not always rank quality of an image or video sequence in the same way that a human being. There are many other factors considered by the human visual system and the brain. So, a lot of efforts were required to find an objective video quality metric that is able to measure the quality distortion similarly to the one perceived by the destination user. We analyze the behaviour of some of the most relevant objective quality metrics when they are applied to video compressed by a H264/AVC codec at different bit-rates and with error resilience options enabled. Video data is transmitted in a wireless MANET environment and packet losses are modelled for different scenarios including variable congestion and mobility states. We take as reference the PSNR metric and try to find out if there is a more accurate metric in terms of human quality perception that could substitute PSNR in the performance evaluation of different coding proposals under packet loss scenarios.|
|Educational Role||Student ♦ Teacher|
|Age Range||above 22 year|
|Education Level||UG and PG ♦ Career/Technical Study|
|Learning Resource Type||Article|
|Publisher Institution||In International Workshop on Mobile Video|
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