Abstract

Generally the evaluation of video quality is classified into two methods. They are subjective and objective analysis of video quality. Subjective analysis is conducted based on human perception since it is concerned with how video is perceived by a viewer or subject and expresses subjects opinion on a particular video sequence in comparison with its original video sequence. The subject has to vote for the video sequences under certain test environment conditions for example the ITU-Recommendations. Human perception is considered as the true judgment of video quality and precise measurement of perceptual quality but it is quite expensive and tedious in terms of time such as preparation, running and human resources. Objective quality assessment is therefore essential. Objective Video Quality Metric should be designed based on HVS (Human Visualizing System) characteristics. Some aspects of HVS like contrast, orientation sensitivity, spatial and temporal masking effects, frequency selectivity and color perception are incorporated in the design of objective quality metrics. Even though it is computationally very expensive and complex to design a quality metric with above aspects. It is useful for a wide range of applications if it correlates well with human perception. The impairments visibility which is related to video processing system is subjected to spatial and temporal properties of video content, since subjective analysis is quite expensive and time conservative method, objective metric has been developed considering HVS. In our research work we have done experiment on both subjective and objective analysis.