Fast coding unit selection based on local texture characteristics for HEVC intra frame

Radosavljević, Miloš; Georgakarakos, Georgios; Lafond, Sébastien; Vukobratović, Dejan

doi:10.1109/globalsip.2015.7418424

Cited by 7 publications

(1 citation statement)

References 33 publications

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“…A fast coding unit partitioning algorithm in [5] for HEVC encoder by utilizing joint online and offline learning makes a fast decision for coding unit partitioning process based on Bayesian decision. To end the process of block size determinate in advance, a method for size decision of intra pictures by utilizing partial image features is proposed in [14], utilizing the image itself to reduce coding time apparently. An intra prediction mode decision method in [8] utilizes the local binary patterns of an encoded block to achieve time saving.…”

Section: Related Workmentioning

confidence: 99%

A Fast and Efficient Coding Algorithm for HEVC System based on Texture Analysis of Entropy Difference

Zhang¹

2017

IJPE

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With the video display technique developing, High Efficiency Video Coding (HEVC) to optimize coding efficiency for video coder is proposed. However, the latest coding standard HEVC has a good performance. In the meantime, it introduces large computational complexity in mode decision process. In the coding process, the encoding mode of a coding block is selected in numbers candidate. Therefore, once a coding block in the sequences encoded as skip mode, coding time would be saved largely since the simplification of rate-distortion (RD) cost calculation. In this paper, a decision method of coding blocks (CBs) based on texture analysis of entropy is proposed. Even though a CB included in homogeneous regions in natural test video sequences, the entropy value between current and neighbouring reference coding blocks is computed to decide the CB could be encoded as skip mode. Early skip mode detection can omit unnecessary mode decision since it results in huge computational complexity for RD cost calculation in conventional method. After the detection process, the CBs would be encoded as skip mode directly. Extensive experiment concludes that our method has better performance for computational complexity compared to conventional coding method with a negligible loss.

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Section: Related Workmentioning

confidence: 99%