High Efficiency Video coding (HEVC) is the latest video coding standard established, which introduces a number of new coding tools such as hierarchical structures of coding unit (CU), prediction unit (PU) and transfor...
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ISBN:
(纸本)9781509049370
High Efficiency Video coding (HEVC) is the latest video coding standard established, which introduces a number of new coding tools such as hierarchical structures of coding unit (CU), prediction unit (PU) and transform unit (TU) to improve the compression capacity of encoding. Compared with H. 264/AVC, the compression performance increased by nearly 50% at the cost of the algorithm complexity increasing significantly. One of the most time-consuming part is the inter coding process taking over 60% of the encoding time. In this paper, in order to reduce the computational pressure on the encoder side, we design an algorithm based on spatio-temporal characteristics of the encoding pictures. First, we adopt a CU depth pruning strategy based on the texture feature and motion information of the blocks. Then, based on the motion vectors (MVs) of adjacent coded blocks, we introduce a fast reference picture selection strategy. Experimental results show that the proposed algorithm achieves 50% time saving on average with negligible loss of coding efficiency compared with HEVC reference software HM16.9.
Since the improvement of high efficient video coding (HEVC) compression ratio is yet not studied completely, a new segmentation-based image compression coding frame is realized in this paper. The compression performan...
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ISBN:
(纸本)9781509035588
Since the improvement of high efficient video coding (HEVC) compression ratio is yet not studied completely, a new segmentation-based image compression coding frame is realized in this paper. The compression performance of this coding frame is further improved by taking the coding standard HEVC as a basic part of image compression, using the characteristics of HEVC intra coding and inter coding as well as segmentation. Combined with the traditional coding frame HEVC, the frame is to fully use the excellent compression performance of existing standard frames, thus, fundamentally, ensuring the compression performance of the frame is proposed. Experimental results show that, at low bitrate section, the compression performance of the frame proposed is much better than that of HEVC.
In comparison with H.264/AVC, the newest video coding standard, High Efficiency Video coding (HEVC), improves video coding rate distortion (RD) performance, but at the price of significant increase in its encoding com...
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ISBN:
(纸本)9781479983391
In comparison with H.264/AVC, the newest video coding standard, High Efficiency Video coding (HEVC), improves video coding rate distortion (RD) performance, but at the price of significant increase in its encoding complexity, due to its complicated inter mode decision process. In HEVC inter coding, the actual RD costs of all combinations of coding units (CUs), prediction units (PUs), and transform units (TUs) have to be computed and then the combination (i.e., mode) with the minimum cost is selected and encoded. To reduce the inter mode decision complexity in HEVC while maintaining its coding efficiency, in this paper, a fast inter mode decision method based on a newly proposed Transparent Composite Model (TCM) is developed. Spatially and temporally homogeneities are identified by TCM, and then used, together with spatiotemporal correlation between CUs, to determine PU and CU partitions so that cost computations of unnecessary modes can be skipped. Experimental results show that, for the low delay main test configuration of HEVC, our method reduces, on average, the encoding time by 60.71% with an insignificant loss in coding efficiency (1.06% BD-Rate increase).
The latest video coding standard, High Efficiency Video coding (HEVC), has a large amount of complexity in its inter coding. To reduce the complexity of the inter coding for HEVC, an adaptive searching range algorithm...
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ISBN:
(纸本)9781467373142
The latest video coding standard, High Efficiency Video coding (HEVC), has a large amount of complexity in its inter coding. To reduce the complexity of the inter coding for HEVC, an adaptive searching range algorithm is proposed in this paper. The proposed method separates inter coding into a learning stage and predicting stage. In the learning stage, the relationship between the prediction units (PC) difference, the length of the motion vector prediction (MVP), and the best searching range is learned. In the predicting stage, the k-nearest neighbor algorithm is adopted to find the best searching range based on the learned data. Experiments showed that 91% of the complexity of the motion estimation is reduced compared with the full search method.
Determining the best partitioning structure for a given coding Tree Unit (CTU) is one of the most time consuming operations within the HEVC encoder. The brute force search through quad tree hierarchy has a significant...
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ISBN:
(纸本)9781479957521
Determining the best partitioning structure for a given coding Tree Unit (CTU) is one of the most time consuming operations within the HEVC encoder. The brute force search through quad tree hierarchy has a significant impact on the encoding time especially on high definition (HD) videos. This paper presents a fast coding unit size decision-taking algorithm for inter prediction in HEVC. The proposed algorithm uses a motion homogeneity based classification approach utilizing RD cost as a feature vector. Simulation results show that the proposed algorithm achieves an average of 73.25% encoding time efficiency improvement with similar rate distortion performance compared to HEVC HM12.0 reference software.
In comparison with H.264/AVC, the newest video coding standard, High Efficiency Video coding (HEVC), improves video coding rate distortion (RD) performance, but at the price of significant increase in its encoding com...
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ISBN:
(纸本)9781479983407
In comparison with H.264/AVC, the newest video coding standard, High Efficiency Video coding (HEVC), improves video coding rate distortion (RD) performance, but at the price of significant increase in its encoding complexity, due to its complicated inter mode decision process. In HEVC inter coding, the actual RD costs of all combinations of coding units (CUs), prediction units (PUs), and transform units (TUs) have to be computed and then the combination (i.e., mode) with the minimum cost is selected and encoded. To reduce the inter mode decision complexity in HEVC while maintaining its coding efficiency, in this paper, a fast inter mode decision method based on a newly proposed Transparent Composite Model (TCM) is developed. Spatially and temporally homogeneities are identified by TCM, and then used, together with spatiotemporal correlation between CUs, to determine PU and CU partitions so that cost computations of unnecessary modes can be skipped. Experimental results show that, for the low delay main test configuration of HEVC, our method reduces, on average, the encoding time by 60.71% with an insignificant loss in coding efficiency (1.06% BD-Rate increase).
A novel inter coding framework for H.264/AVC is proposed to reduce the computational complexity of H.264 encoder on DSP platform. In this paper, inter coding for one P slice is separated into five consecutive loops: M...
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ISBN:
(纸本)9781424448982
A novel inter coding framework for H.264/AVC is proposed to reduce the computational complexity of H.264 encoder on DSP platform. In this paper, inter coding for one P slice is separated into five consecutive loops: Motion Estimation Loop, Transform & Quantization Loop, Entropy coding Loop, Deblocking Loop and interpolation Loop. All the macroblocks (MBs) within one P slice are processed to g ether in each loop. To further explore memory hierarchy of DSP platforms, MB-group based algorithms are introduced in each loop to reduce frequent data transfers between external memory and internal memory. Finally, the proposed method is implemented on TMS320DM6446 platform and experimental results show that, for the video sequences with CIF (Common intermediate Format) format, the optimized H.264 encoder can achieve the encoding speed of 24 frames per second, which fully meet the real-time requirements of the applications.
A novel inter coding framework for H.264/AVC is proposed to reduce the computational complexity of H.264 encoder on DSP platform. In this paper, inter coding for one P slice is separated into five consecutive loops: M...
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ISBN:
(纸本)9781424448999;9781424448982
A novel inter coding framework for H.264/AVC is proposed to reduce the computational complexity of H.264 encoder on DSP platform. In this paper, inter coding for one P slice is separated into five consecutive loops: Motion Estimation Loop, Transform & Quantization Loop, Entropy coding Loop, Deblocking Loop and interpolation Loop. All the macroblocks (MBs) within one P slice are processed together in each loop. To further explore memory hierarchy of DSP platforms, MB-group based algorithms are introduced in each loop to reduce frequent data transfers between external memory and internal memory. Finally, the proposed method is implemented on TMS320DM6446 platform and experimental results show that, for the video sequences with CIF (Common intermediate Format) format, the optimized H.264 encoder can achieve the encoding speed of 24 frames per second, which fully meet the real-time requirements of the applications.
In High Efficiency Video coding, the Residual Quad-Yree （RQT） coding is used to encode the prediction residual for both intra and inter coding Units （CU） and provides improved coding gains. However, this results i...
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In High Efficiency Video coding, the Residual Quad-Yree （RQT） coding is used to encode the prediction residual for both intra and inter coding Units （CU） and provides improved coding gains. However, this results in much higher computational complexities. To address this problem, we develop two fast RQT algorithms for intra- and inter-prediction residual coding respectively. For intra coding, the proposed algorithm selects the best prediction mode in the rate distortion mode decision process using a Prediction Unit （PU） size-dependent fast RQT depth decision on a reduced prediction mode candidates set from the rough mode decision process. For inter coding, in addition to CU size-dependent fast RQT depth decisions, we propose a discriminant analy- sis-based fast depth decision algorithm to det- ermine the best transform unit size. Experimental results show that on average, we can real- ise a 21.29% encoding time saving and 0.03% bit-rate reduction for intra coding, while 15% of the encoding time can be saved with a negligible coding performance loss for inter coding.
We propose an adaptive loop filter to remove the redundancy between current and motion compensated frames so that the residual signal is minimized, thus coding efficiency increases. The loop filter coefficients and of...
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We propose an adaptive loop filter to remove the redundancy between current and motion compensated frames so that the residual signal is minimized, thus coding efficiency increases. The loop filter coefficients and offset are optimized for each frame or a set of blocks to minimize the total energy of the residual signal resulting from motion estimation and compensation. The optimized loop filter with offset is applied for the set of blocks where the filtering process gives coding gain based upon rate-distortion cost. The proposed loop filter is used for the motion compensated frame whereas the conventional adaptive interpolation filter (AIF) is applied to the reference frames to interpolate the subpixel values. Another conventional scheme adaptive loop filter (ALF), is used after deblocking filtering to enhance quality of reconstructed frames, not to minimize energy of residual signal. The proposed loop filter can be used in combination with the AIF and ALF. Experimental results show that proposed algorithm provides the averaged bit reduction of 8% compared to conventional H.264/AVC scheme. When the proposed scheme is combined with AIF and ALF, the coding gain increases even further.
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