HEVC Field Unit


SkyHighTech

Uploaded on Apr 10, 2022

Category Technology

The compact HEVC field unit for live transmission on-the-go. A small-sized, cost-effective and reliable HEVC encoder for transmitting high-quality video from anywhere.

Category Technology

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HEVC Field Unit

HEVC Field Unit The HEVC Field Unit (HEVC FU) is a new form of organization for the HEVC Standard, which combines the advantages of the previous two unit types and eliminates their respective disadvantages. The coding block is not limited to macroblocks, but can freely expand in any direction, so that it can be adjusted flexibly according to the characteristics of the actual picture content. Know More- HEVC Field Unit This makes it possible to ensure that there are no discontinuous artifacts on the edge between adjacent coding blocks. In addition, in order to ensure that the decoding process can still be completed quickly and flexibly, a set of skip modes have been added to control the search range of the candidate list. In the HEVC standard, a field unit is the smallest unit of compressed video data. This is a reasonable definition, except that in video coding nobody refers to field units as units. Instead, they are called slices or tiles. The problem is that the HEVC standard defines several types of slices and tiles: slice segments, dependent slices, independent slices and so on. The same goes for tiles. One type of tile can be split into sub-tiles; another cannot. One type of slice is stored in the bitstream without any markers whatsoever; another is stored with a marker at the beginning and end of each slice segment; and so on. So it would be very helpful to have a single word to refer to all these things together, which is what "field unit" is supposed to be. Unfortunately, nobody uses it this way. In this paper, we propose a novel approach to achieve a scalable high efficiency video coding (SHVC) system based on the field unit. The proposed SHVC system considers two different ways of partitioning a frame into multiple subframes: temporal partitioning and spatial partitioning.