Fast depth coding based on depth map segmentation for 3D video coding

Liao, Yi-Wen; Lin, Jie-Ru; Chen, Mei-Juan; Chen, Jeng‐Wei

doi:10.1109/icce-china.2017.7991032

Cited by 1 publication

(1 citation statement)

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“…The proposed method calculates an appropriate threshold value that is then used in order to divide an image into blocks of size 4x4 or 16x16 pixels. In [24], a modified version of Otsu thresholding was introduced to reduce the complexity of CU and prediction unit (PU) mode decision processes in 3D-HEVC. In the proposed scheme, two thresholds were determined that were further refined to divide the original depth map in a foreground, a background and a middle ground, and a fast mode decision was carried out based on CTU region classification.…”

Section: Related Workmentioning

confidence: 99%

Image Segmentation Methods for Subpicture Partitioning in the VVC Video Encoder

Panagou¹,

Belememis²,

Koziri³

2022

Electronics

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The emergence of the new generation video coding standard, Versatile Video Coding (VVC), has brought along novel features rendering the new standard more efficient and flexible than its predecessors. Aside from efficient compression of 8 k or higher camera-captured content, VVC also supports a wide range of applications, including computer-generated content, high dynamic range (HDR) content, multilayer and multi-view coding, video region extraction, as well as 360° video. One of the newly introduced coding tools in VVC, offering extraction and independent coding of rectangular sub-areas within a frame, is called Subpicture. In this work, we turn our attention to frame partitioning using Subpictures in VVC, and more particularly, a content-aware partitioning is considered. To achieve that, we make use of image segmentation algorithms and properly modify them to operate on a per Coding Tree Unit (CTU) basis in order to render them compliant with the standard’s restrictions. Additionally, since subpicture boundaries need to comply with slice boundaries, we propose two methods for properly partitioning a frame using tiles/slices aiming to avoid over-partitioning of a frame. The proposed algorithms are evaluated regarding both compression efficiency and image segmentation effectiveness. Our evaluation results indicate that the proposed partitioning schemes have a negligible impact on compression efficiency and video quality

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Section: Related Workmentioning

confidence: 99%