![]() Furthermore, a floating effect detection method is proposed that not only detects the existence of floating, but also segments the spatial regions where floating occurs∗. In this paper, we reexamine the perceptual artifacts created by standard video compression, summarizing commonly observed spatial and temporal perceptual distortions in compressed video, with emphasis on the perceptual temporal artifacts that have not been well identified or accounted for in previous studies. This unavoidably leads to two types of major streaming-related impairments: compression artifacts and/or rebuffering events. An Iframe ( Intra-coded picture) is a complete image, like a JPG or BMP image file. Three types of pictures (or frames) are used in video compression: I, P, and B frames. Moreover, the characteristics of compression artifacts evolve over time due to the continuous adoption of novel coding structures and strategies during the development of new video compression standards. A sequence of video frames, consisting of two keyframes (I), one forward-predicted frame (P) and one bi-directionally predicted frame (B). Its probably most noticeable here because you have things moving on top of the area of uniform color. ![]() ![]() You can see artifacts like these in the sky of some games too. Understanding and quantifying such perceptual artifacts play important roles in the development of effective video compression, streaming and quality enhancement systems. This is just H.264 being bad at compressing large areas of nearly the same color. Video compression is a very important aspect of how video streaming websites like YouTube Netflix and Hulu work, without it you wouldnt be able to stream such high-quality high-frame videos. To achieve optimal video quality under bandwidth and power constraints, modern video coding techniques employ lossy coding schemes, which often create compression artifacts that may lead to degradation of perceptual video quality.
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