Hierarchical Fast Selection of Intraframe Prediction Mode in HEVC

Siast, Jakub; Domański, Marek; Stankowski, Jakub

doi:10.1515/eletel-2016-0020

Cited by 4 publications

(2 citation statements)

References 10 publications

(23 reference statements)

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“…It also makes use of the correlation between the rough mode and the most promising mode decision. Jakub Siast et al (2016) [3] demonstrated a hierarchical technique where the subsets of every second, third and fourth modes are created and the most probable modes are checked against those subsets. The method checks for near optimal RD costs and reduces the time for Rough mode decision.…”

Section: Fig 1: Reference Array For Hevc Intrapredictionmentioning

confidence: 99%

H.265 Intra-Picture Prediction Acceleration using Low Complexity Model

Pawar¹,

Sawarkar²

2019

IJITEE

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H.265 also called High Efficiency Video Coding is the new futuristic international standard proposed by Joint collaboration Team on Video Coding and released in 2013 in the view of constantly increasing demand of video applications. This new standard reduces the bitrate to half as compared to its predecessor H.264 at the expense of huge amount of computational burden on the encoder. In the proposed work we focus on intraprediction phase of video encoding where 33 new angular modes are introduced in addition to DC and Planar mode in order to achieve high quality videos at higher resolutions. We have proposed the use of applied machine learning to HEVC intra prediction to accelerate angular mode decision process. The features used are also low complexity features with minimal computation so as to avoid any additional burden on the encoder. The Decision tree model built is simple yet efficient which is the requirement of the complexity reduction scenario. The proposed method achieves substantial average encoding time saving of 86.59%, with QP values 4,22,27,32 respectively with minimal loss of 0.033 of PSNR and 0.0023 loss in SSIM which makes it suitable for acceptance of High Efficiency Video coding in real time applications

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Section: Fig 1: Reference Array For Hevc Intrapredictionmentioning

confidence: 99%

H.265 Intra-Picture Prediction Acceleration using Low Complexity Model

Pawar¹,

Sawarkar²

2019

IJITEE

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“…Meanwhile, according to the RD cost of the neighboring CUs, early termination methods are proposed to decide the prediction modes and CU sizes. In [9], the hierarchical fast mode selection is proposed by restraining the search scope of intra prediction modes. The RD cost of each prediction mode indicates the gradient in the block.…”

Section: Introductionmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Min

Cheung

2018

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As the most recent video coding standard, High Efficiency Video Coding (HEVC) adopts various novel techniques, including a quad-tree based coding unit (CU) structure and additional angular modes used for intra encoding. These new techniques achieve a notable improvement in coding efficiency at the penalty of significant computational complexity increase. Thus, a fast HEVC coding algorithm is highly desirable. In this paper, we propose a fast intra CU decision algorithm for HEVC to reduce the coding complexity, mainly based on a key-point detection. A CU block is considered to have multiple gradients and is early split if corner points are detected inside the block. On the other hand, a CU block without corner points is treated to be terminated when its RD cost is also small according to statistics of the previous frames. The proposed fast algorithm achieves over 62% encoding time reduction with 3.66%, 2.82%, and 2.53% BD-Rate loss for Y, U, and V components, averagely. The experimental results show that the proposed method is efficient to fast decide CU size in HEVC intra coding, even though only static parameters are applied to all test sequences.

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Architectural Design of a Fast Search Algorithm and Implementation to Intra-Mode Decision Block of Still Image Coding

Çekli

Akman

2022

J CIRCUIT SYST COMP

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As a requirement of many modern image compression standards faced today, a computational complexity is observed due to the best mode selection in the intra-prediction stage. This computational complexity is tried to be reduced by various techniques without affecting the performance criteria of the image. In this study, a fast search algorithm, which simplifies the mode selection process of the intra-prediction algorithm and provides calculation with less number of modes is proposed. The hardware architecture of this proposed algorithm is implemented for realization. There are two main sections of the intra-prediction algorithm in image compression, namely the image prediction process and the mode selection process. In this study, main objective is to reduce the process time of the mode selection and the simplification of the hardware design. Sum of absolute difference (SAD) is a frequently used criterion to simplify hardware design. The algorithm searches for the most suitable mode in a single step, where the decision is based on the SAD criterion preferred for the simplicity. The proposed algorithm and related hardware architecture is tested by using various experiments. The number of the modes calculated is reduced effectively, while the process is kept within the acceptable limits in terms of peak signal to noise ratio (PSNR) and compression rate (CR) performance criteria. Therefore, the number of clock cycles observed is considerably reduced. The designed architecture is synthesized for the field programmable gate arrays (FPGA) board and the obtained results are given. In addition, these results are compared with the HM reference software where the corresponding results are in accordance with the reference software.

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Hierarchical Fast Selection of Intraframe Prediction Mode in HEVC

Cited by 4 publications

References 10 publications

H.265 Intra-Picture Prediction Acceleration using Low Complexity Model

H.265 Intra-Picture Prediction Acceleration using Low Complexity Model

International Journal of Electronics and Telecommunications

Architectural Design of a Fast Search Algorithm and Implementation to Intra-Mode Decision Block of Still Image Coding

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