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This paper proposes a rate control algorithm based on group of pictures (GOP) level quality dependency for high efficiency video coding (HEVC) low delay hierarchical coding structure. Firstly, this paper builds a GOP level quality dependency model. Secondly, a GOP level quality dependency model based GOP level rate-distortion optimization is introduced to make bit allocation more reasonable.

Inserting a logo into HEVC video streams is highly demanded in video applications. In this paper, we present an efficient logo insertion method for video coding in HEVC. To reduce the impact of inserted logo, the proposed method mitigates the encoding dependence on logo by partitioning the video frame into separated regions. For lossless coding region, we reduce the bit rate overhead of lossless coding according to an error propagation model. For information reusing region, we partly re-encode the quality-loss area to maintain the encoding quality.

Motion modelling plays a central role in video compression. This role is even more critical in highly textured video sequences, whereby a small error can produce large residuals that are costly to compress. While the translational motion model employed by existing coding standards, such as HEVC, is sufficient in most cases, using higher order models is beneficial; for this reason, the upcoming video coding standard, VVC, employs a 4-parameter affine model.

This paper describes the block coding algorithm that underpins the new High Throughput JPEG 2000 (HTJ2K) standard. The objective of HTJ2K is to overcome the computational complexity of the original block coding algorithm, by providing a drop-in replacement that preserves as much of the JPEG 2000 feature set as possible, while allowing reversible transcoding to/from the original format. We show how the new standard achieves these goals, with high coding efficiency, and extremely high throughput in software.

Intra interpolation filters for intra angular prediction play an important role in the coding performance. In the intra angular prediction of VVC, which is being standardized by the joint video coding expert team (JVET), block-size based switchable interpolation filters between 4-tap cubic and Gaussian interpolation filters is being studied. Although the two filters have different frequency characteristics, block size-based criteria are insufficient to represent the reference sample characteristics.

This paper deals with the current trends of new compression methods for 3D point cloud contents required to ensure efficient transmission and storage.
The representation of 3D point clouds geometry remains a challenging problem, since this signal is unstructured.
In this paper, we introduce a new hierarchical geometry representation based on adaptive Tree-Structured Point-Lattice Vector Quantization (TSPLVQ).
This representation enables hierarchically structured 3D content that improves the compression performance for static point clouds.