Fast intra prediction algorithm with transform domain edge detection for HEVC

Ting, Yi-Ching; Chang, Tian-Sheuan

doi:10.1109/apccas.2012.6418992

Cited by 6 publications

(6 citation statements)

References 3 publications

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“…the first condition in (14) and (15) indicates the result of a better bit-rate expense and visual quality than that by the standard JM. Obviously, the CP-index in (14) and (15) provides a fair and clear comparison between different approaches, and a larger CP-index is preferred.…”

Section: E Comparisons With the Existing State-of-the-art Fast Decismentioning

confidence: 93%

“…Instead of performing gradient analysis in spatial domain, some of the algorithms evaluate the texture orientation using the coefficients of discrete cosine transformation (DCT) inside the coding block [14], [15]. Among which, a two-stage algorithm with the use of an enhanced sum of absolute transform differences (SATDs) is proposed in [14].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, an algorithm based on texture classification in transformed domain (DCT domain) is proposed in [15] for the fast decision of intra-prediction mode in High Efficiency Video Coding (HEVC). With a three-step mode selection and transform domain edge detection, a noticeable improvement on the run-time performance can be achieved in [15].…”

Section: Introductionmentioning

confidence: 99%

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A Gradient Intensity-Adapted Algorithm With Adaptive Selection Strategy for the Fast Decision of H.264/AVC Intra-Prediction Modes

Kau

Leng

2015

IEEE Trans. Circuits Syst. Video Technol.

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H.264/Advanced Video Coding (AVC) is well known for its superiority of finding an optimal tradeoff between the visual quality and the bit-rate expense. Nevertheless, the highly complex procedures of finding an optimal intra-or interprediction mode can degrade the run-time performance of the coding process. To speed up the run-time performance during the encoding of H.264/AVC intra-prediction mode, we apply in this paper a simple yet effective gradient evaluation approach so that the texture orientation inside the coding block can be evaluated efficiently. Moreover, we propose an adaptive selection strategy in this paper so that only a subset with a variable number of the intra-prediction modes will be sent for the rate-distortion optimization process. With the proposed gradient evaluation and adaptive selection strategy, a noticeable speedup on the run-time performance can be achieved with only a minor degradation on the visual quality and the bit-rate expense. When compared with the existing state-of-the-art fast decision algorithms, a significant improvement over prior arts on the proposed cost performance metric can be obtained, which demonstrates the superiority of the proposed approach.Index Terms-Adaptive selection strategy, cost performance index (CP-index), edge detection, fast mode decision, H.264/Advanced Video Coding (AVC), intra prediction.

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Section: E Comparisons With the Existing State-of-the-art Fast Decismentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Gradient Intensity-Adapted Algorithm With Adaptive Selection Strategy for the Fast Decision of H.264/AVC Intra-Prediction Modes

Kau

Leng

2015

IEEE Trans. Circuits Syst. Video Technol.

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“…In our technique and the techniques [10][11][12][13][14][15], the number of modes that are evaluated in the RMD step is reduced. Encoders using the techniques [11][12][13][14][15] compute various gradient statistics of a PU to find an edge inside the PU and the direction of this edge. The angular modes that do not match the estimated direction or are not close to it are disqualified before the RMD step.…”

Section: State-of-the-artmentioning

confidence: 99%

“…Contrary to the techniques [11][12][13][14][15], in our technique, no information on edge direction in the PU is used. In our technique we rather exploit the observation that prediction error changes smoothly when computed for consecutive angular modes, i.e., consecutive directions.…”

Section: State-of-the-artmentioning

confidence: 99%

Hierarchical Fast Selection of Intraframe Prediction Mode in HEVC

Siast

Domański

Stankowski

2016

International Journal of Electronics and Telecommunications

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In the new HEVC standard, there are 35 intraframe prediction modes. Therefore, real-time implementations need fast mode pre-selection to reduce the computational load of cost comparison for individual modes. In this paper, a simple technique is proposed to reduce the complexity of the Unified Intra Prediction by decreasing the mode candidate number evaluated in the Rough Mode Decision step. We call this approach hierarchical as we decrease stepwise the angles between the directions of the prediction modes that are tested. Obviously, the fast mode selection results in significant complexity reduction obtained at the cost of choosing a sub-optimum mode related to slightly reduced compression performance. In the paper, it is proposed how to calculate the trade-off between encoder complexity and compression performance, using the ratio of relative coding time reduction and average bitrate increase estimated for constant decoded video quality. Extensive experiments prove that this ratio is much higher for the proposed technique than for many other techniques from the references.

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Optimal stopping theory based algorithm for coding unit size decision in HEVC

Wang

Heng

2014

Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific

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Fast intra prediction algorithm with transform domain edge detection for HEVC

Cited by 6 publications

References 3 publications

A Gradient Intensity-Adapted Algorithm With Adaptive Selection Strategy for the Fast Decision of H.264/AVC Intra-Prediction Modes

A Gradient Intensity-Adapted Algorithm With Adaptive Selection Strategy for the Fast Decision of H.264/AVC Intra-Prediction Modes

Hierarchical Fast Selection of Intraframe Prediction Mode in HEVC

Optimal stopping theory based algorithm for coding unit size decision in HEVC

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