tailieunhanh - Báo cáo hóa học: " Comparing apples and oranges: assessment of the relative video quality in the presence of different types of distortions"

Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí hóa hoc quốc tế đề tài : Comparing apples and oranges: assessment of the relative video quality in the presence of different types of distortions | Reiter et al. EURASIP Journal on Image and Video Processing 2011 2011 8 http content 2011 1 8 D EURASIP Journal on Image and Video Processing a SpringerOpen Journal RESEARCH Open Access Comparing apples and oranges assessment of the relative video quality in the presence of different types of distortions Ulrich Reiter1 Jari Korhonen2 and Junyong You1 Abstract Video quality assessment is essential for the performance analysis of visual communication applications. Objective metrics can be used for estimating the relative quality differences but they typically give reliable results only if the compared videos contain similar types of quality distortion. However video compression typically produces different kinds of visual artifacts than transmission errors. In this article we focus on a novel subjective quality assessment method that is suitable for comparing different types of quality distortions. The proposed method has been used to evaluate how well different objective quality metrics estimate the relative subjective quality levels for content with different types of quality distortions. Our conclusion is that none of the studied objective metrics works reliably for assessing the co-impact of compression artifacts and transmission errors on the subjective quality. Nevertheless we have observed that the objective metrics tendency to either over- or underestimate the perceived impact of transmission errors has a high correlation with the spatial and temporal activity levels of the content. Therefore our results can be useful for improving the performance of objective metrics in the presence of both source and channel distortions. Keywords multimedia communication video quality assessment 1. Introduction In video streaming applications visual quality is often affected by two generic but fundamentally different types of quality distortion source distortion and channel distortion. Source distortion is derived from video compression that is .

TÀI LIỆU LIÊN QUAN
crossorigin="anonymous">
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.