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Thematische Bibliographien / Intra mode decision / Zeitschriftenartikel

Zeitschriftenartikel zum Thema „Intra mode decision“

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Autor: Grafiati

Veröffentlicht am 7. Juli 2024

Zuletzt aktualisiert am 7. Juli 2024

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1

Lee, Seung-Ho, Sang-Hyo Park und Euee Seon Jang. „Fast Intra Prediction Mode Decision based on Rough Mode Decision and Most Probable Mode in HEVC“. Journal of Broadcast Engineering 19, Nr. 2 (30.03.2014): 158–65. http://dx.doi.org/10.5909/jbe.2014.19.2.158.

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2

Jing, Luna, Ning Li und Li Ni Ma. „Fast Intra Mode Decision Algorithm Based on Mode Correlation in SVC“. Applied Mechanics and Materials 373-375 (August 2013): 525–29. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.525.

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Intra4×4 mode decision has correlation between enhancement layer and base layer in scalable video coding (SVC). In this paper, a new intra mode decision algorithm is proposed based on this correlation and the proximity of prediction directions of nine Intra4×4 prediction modes. This method is used in enhancement layer to decrease the mode numbers in enhancement layer. Experiments show that the proposed algorithm can save 27.52% encoding time on average with negligible PSNR change and small bit-rate loss.

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3

Kim, Dong-Hyun, und Jae-Gon Kim. „Fast Intra Prediction Mode Decision for HEVC“. Journal of the Korea Contents Association 14, Nr. 9 (28.09.2014): 102–9. http://dx.doi.org/10.5392/jkca.2014.14.09.102.

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4

R.B., Mamatha, und Keshaveni N. „Intra Prediction Mode Decision for H.264“. International Journal of Computer Applications 126, Nr. 4 (17.09.2015): 42–46. http://dx.doi.org/10.5120/ijca2015906039.

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5

Liao, Weihang, Daiqin Yang und Zhenzhong Chen. „A Fast Intra Mode Decision algorithm for HEVC“. Electronic Imaging 2017, Nr. 2 (29.01.2017): 10–15. http://dx.doi.org/10.2352/issn.2470-1173.2017.2.vipc-399.

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6

Huanqiang Zeng, Kai-Kuang Ma und Canhui Cai. „Hierarchical Intra Mode Decision for H.264/AVC“. IEEE Transactions on Circuits and Systems for Video Technology 20, Nr. 6 (Juni 2010): 907–12. http://dx.doi.org/10.1109/tcsvt.2010.2045802.

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7

Hong, Seungbeom, Dongjun Yang, Byungkil Park und Sungwook Yu. „An efficient intra-mode decision method for HEVC“. Signal, Image and Video Processing 10, Nr. 6 (06.01.2016): 1055–63. http://dx.doi.org/10.1007/s11760-015-0858-1.

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8

Wang, Shaokang, Zhihong Wu, Guoqing Xiang, Huizhu Jia und Xiaodong Xie. „Fast mode decision algorithm for AVS3 intra prediction“. Journal of Physics: Conference Series 2646, Nr. 1 (01.12.2023): 012002. http://dx.doi.org/10.1088/1742-6596/2646/1/012002.

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Abstract AVS3 is the latest generation of video coding standard developed independently by China. It obtains 50% bitrate savings under the same visual quality as compared with the previous generation coding standard AVS2, largely due to availability of numerous new coding tools. However, these newly introduced coding tools increase the computational complexity significantly and thus severely hinder the real applications of AVS3. In light of the above, this paper presents an innovative fast intra mode decision method that exploits texture information. In particular, for each Prediction Unit (PU), the Sobel operator is employed to obtain the gradient information, which helps to produce candidate intra prediction modes. In addition, to trade off coding efficiency against computational complexity, the PU content flatness is exploited to determine the number of candidate modes. The proposed method is implemented on HPM-4.0.1, and the experimental results demonstrate that it obtains 35.2% encoding time saving with moderate compression performance loss.

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9

BHARANITHARAN, Karunanithi, Jiun-Ren DING, Bo-Wei CHEN und Jhing-Fa WANG. „Selective Intra Block Size Decision and Fast Intra Mode Decision Algorithms for H.264/AVC Encoder“. IEICE Transactions on Information and Systems E95.D, Nr. 11 (2012): 2720–23. http://dx.doi.org/10.1587/transinf.e95.d.2720.

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10

Li, Ye, Zhihao He und Qiuwen Zhang. „Fast Decision-Tree-Based Series Partitioning and Mode Prediction Termination Algorithm for H.266/VVC“. Electronics 13, Nr. 7 (27.03.2024): 1250. http://dx.doi.org/10.3390/electronics13071250.

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With the advancement of network technology, multimedia videos have emerged as a crucial channel for individuals to access external information, owing to their realistic and intuitive effects. In the presence of high frame rate and high dynamic range videos, the coding efficiency of high-efficiency video coding (HEVC) falls short of meeting the storage and transmission demands of the video content. Therefore, versatile video coding (VVC) introduces a nested quadtree plus multi-type tree (QTMT) segmentation structure based on the HEVC standard, while also expanding the intra-prediction modes from 35 to 67. While the new technology introduced by VVC has enhanced compression performance, it concurrently introduces a higher level of computational complexity. To enhance coding efficiency and diminish computational complexity, this paper explores two key aspects: coding unit (CU) partition decision-making and intra-frame mode selection. Firstly, to address the flexible partitioning structure of QTMT, we propose a decision-tree-based series partitioning decision algorithm for partitioning decisions. Through concatenating the quadtree (QT) partition division decision with the multi-type tree (MT) division decision, a strategy is implemented to determine whether to skip the MT division decision based on texture characteristics. If the MT partition decision is used, four decision tree classifiers are used to judge different partition types. Secondly, for intra-frame mode selection, this paper proposes an ensemble-learning-based algorithm for mode prediction termination. Through the reordering of complete candidate modes and the assessment of prediction accuracy, the termination of redundant candidate modes is accomplished. Experimental results show that compared with the VVC test model (VTM), the algorithm proposed in this paper achieves an average time saving of 54.74%, while the BDBR only increases by 1.61%.

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11

Shen, Liquan, Zhaoyang Zhang und Ping An. „Fast CU size decision and mode decision algorithm for HEVC intra coding“. IEEE Transactions on Consumer Electronics 59, Nr. 1 (Februar 2013): 207–13. http://dx.doi.org/10.1109/tce.2013.6490261.

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12

Brahmasury Jain, H., und K. R. Rao. „Fast Intra Mode Decision in High Efficiency Video Coding“. Polibits 50 (31.07.2014): 5–12. http://dx.doi.org/10.17562/pb-50-1.

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13

QUAN, Do, und Yo-Sung HO. „Fast Intra Prediction Mode Decision for H.264/AVC“. IEICE Transactions on Information and Systems E93-D, Nr. 7 (2010): 2012–15. http://dx.doi.org/10.1587/transinf.e93.d.2012.

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14

Shu, Haiyan, und Lap-Pui Chau. „Intra/Inter Macroblock Mode Decision for Error-Resilient Transcoding“. IEEE Transactions on Multimedia 10, Nr. 1 (Januar 2008): 97–104. http://dx.doi.org/10.1109/tmm.2007.911300.

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15

Zhang, Tao, Ming-Ting Sun, Debin Zhao und Wen Gao. „Fast Intra-Mode and CU Size Decision for HEVC“. IEEE Transactions on Circuits and Systems for Video Technology 27, Nr. 8 (August 2017): 1714–26. http://dx.doi.org/10.1109/tcsvt.2016.2556518.

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16

Abdelrasoul, Maher, Mohammed S. Sayed und Victor Goulart. „Diagonal-based fast intra-mode decision algorithm for HEVC“. IET Image Processing 11, Nr. 10 (01.10.2017): 888–98. http://dx.doi.org/10.1049/iet-ipr.2016.0514.

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17

Armghan, Ammar, Junaid Tariq, Fayadh Alenezi, Norah Alnaim, Ayman Alfalou und Saad Rehman. „HEVC’s Intra Mode Selection Using Odds Algorithm“. Electronics 10, Nr. 15 (31.07.2021): 1839. http://dx.doi.org/10.3390/electronics10151839.

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The brute-force behaviour of High-Efficiency Video Coding (HEVC) is the biggest hurdle in the communication of the multimedia contents. Therefore, a novel method will be presented here to expedite the intra mode decision process of HEVC. In the first step, the feasibility of the odds-algorithm for the early intra mode decision is presented by using statistical evidence. Then, various elements of odds algorithm are analyzed and then mapped to the intra mode process (elements) of HEVC. Finally, the probability required by the odds algorithm is obtained by utilizing the correlation between the current and the neighboring blocks. The proposed algorithm accelerated the encoding process of the HEVC by 25% to 35%, while the Bjontegaard Delta Bit Rate (BD-BR) is 0.95% to 1.84%.

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18

Lee, Jin Young. „Fast Depth Intra Mode Decision Based on Mode Analysis in 3D Video Coding“. Electronics 8, Nr. 4 (13.04.2019): 430. http://dx.doi.org/10.3390/electronics8040430.

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Multiview video plus depth (MVD), which consists of a texture image and its associated depth map, has been introduced as a 3D video format, and 3D video coding, such as 3D-HEVC, was developed to efficiently compress this MVD data. However, this requires high encoding complexity because of the additional depth coding. In particular, intra coding using various prediction modes is very complicated. To reduce the complexity, we propose a fast depth intra mode decision method based on mode analysis. The proposed method adaptively reduces the number of original candidate modes in a mode decision process. Experimental results show that the proposed method achieves high performance in terms of the complexity reduction.

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19

Shin, Sungyoon, und Sungwook Yu. „An Efficient Mode Decision Method for All Intra Spatial Scalability in SHVC“. Transactions of The Korean Institute of Electrical Engineers 69, Nr. 4 (30.04.2020): 602–9. http://dx.doi.org/10.5370/kiee.2020.69.4.602.

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20

Song, Yun, Ye Zeng, Xueyu Li, Biye Cai und Gaobo Yang. „Fast CU size decision and mode decision algorithm for intra prediction in HEVC“. Multimedia Tools and Applications 76, Nr. 2 (06.01.2016): 2001–17. http://dx.doi.org/10.1007/s11042-015-3155-7.

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21

Zouidi, Naima, Amina Kessentini, Wassim Hamidouche, Nouri Masmoudi und Daniel Menard. „Multitask Learning Based Intra-Mode Decision Framework for Versatile Video Coding“. Electronics 11, Nr. 23 (02.12.2022): 4001. http://dx.doi.org/10.3390/electronics11234001.

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In mid-2020, the new international video coding standard, namely versatile video coding (VVC), was officially released by the Joint Video Expert Team (JVET). As its name indicates, the VVC enables a higher level of versatility with better compression performance compared to its predecessor, high-efficiency video coding (HEVC). VVC introduces several new coding tools like multiple reference lines (MRL) and matrix-weighted intra-prediction (MIP), along with several improvements on the block-based hybrid video coding scheme such as quatree with nested multi-type tree (QTMT) and finer-granularity intra-prediction modes (IPMs). Because finding the best encoding decisions is usually preceded by optimizing the rate distortion (RD) cost, introducing new coding tools or enhancing existing ones requires additional computations. In fact, the VVC is 31 times more complex than the HEVC. Therefore, this paper aims to reduce the computational complexity of the VVC. It establishes a large database for intra-prediction and proposes a multitask learning (MTL)-based intra-mode decision framework. Experimental results show that our proposal enables up to 30% of complexity reduction while slightly increasing the Bjontegaard bit rate (BD-BR).

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22

Pejman, Hossein, und Farzad Zargari. „An efficient fast intra mode decision method based on orthogonal modes elimination“. IEEE Transactions on Consumer Electronics 58, Nr. 4 (November 2012): 1445–52. http://dx.doi.org/10.1109/tce.2012.6415005.

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23

Su, Hui. „Intra-Skip in Inter-Frame Coding of H.264/AVC“. International Journal of Digital Multimedia Broadcasting 2009 (2009): 1–8. http://dx.doi.org/10.1155/2009/141986.

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In inter-frame coding of H.264/AVC standard, not only seven inter-partition modes but also intra-modes are taken into account for seeking the best coding mode so as to maintain higher encoding efficiency by sacrificing the speed of H.264/AVC encoder. Aiming at intra-skip, this paper proposes a novel mathematical model for intra-skip in inter-frame coding to alleviate the complexity of the process; the model provides remarkable performance increment by cutting down encoding time while accompanying very minor bitrate increase. The critical advantage of this proposed scheme most emphasized on is that it can optimize H.264 encoder in conjunction with any proposed fast inter- and intra-methods which are focusing on inter-partition mode decision, motion search algorithms, and fast intra-algorithms.

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24

Jang, Ji Hun, und Chae Eun Rhee. „Down Sampling for Fast Rough Mode Decision for a Hardware-based HEVC Intra-frame encoder“. Journal of Broadcast Engineering 21, Nr. 3 (30.05.2016): 341–48. http://dx.doi.org/10.5909/jbe.2016.21.3.341.

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25

KumarShrivastava, Vimal, P. Muralidhar und C. B. Rama Rao. „Architecture for H. 264 Intra Prediction Fast Mode Decision algorithm“. International Journal of Computer Applications 68, Nr. 3 (18.04.2013): 1–6. http://dx.doi.org/10.5120/11556-6838.

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26

Kim, Tae Sun, und Myung Hoon Sunwoo. „Hierarchical Fast Mode Decision Algorithm for Intra Prediction in HEVC“. Journal of the Institute of Electronics and Information Engineers 52, Nr. 6 (25.06.2015): 57–61. http://dx.doi.org/10.5573/ieie.2015.52.6.057.

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27

AHN, Yong-Jo, Xiangjian WU, Donggyu SIM und Woo-Jin HAN. „Fast Intra Mode Decision for Screen Contents Coding in HEVC“. IEICE Transactions on Information and Systems E99.D, Nr. 9 (2016): 2410–12. http://dx.doi.org/10.1587/transinf.2015edl8211.

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28

Myung, Jin-Su, Sung-Jae Park, Seoung-Jun Oh, Dong-Gyu Sim und Byung-Gyu Kim. „An Efficient Intra Prediction Mode Decision for Spatial Enhancement Layer“. Journal of Broadcast Engineering 12, Nr. 5 (29.09.2007): 491–502. http://dx.doi.org/10.5909/jbe.2007.12.5.491.

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29

Choi, Jooyong, Seungyong Park und Kwangki Ryoo. „Fast Angular Mode Decision Hardware Implementation of HEVC Intra Prediction“. International Journal of Signal Processing, Image Processing and Pattern Recognition 10, Nr. 8 (31.08.2017): 41–52. http://dx.doi.org/10.14257/ijsip.2017.10.8.04.

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30

Hao Zhang und Zhan Ma. „Fast Intra Mode Decision for High Efficiency Video Coding (HEVC)“. IEEE Transactions on Circuits and Systems for Video Technology 24, Nr. 4 (April 2014): 660–68. http://dx.doi.org/10.1109/tcsvt.2013.2290578.

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31

Nair, Preethi S., und Madhu S. Nair. „On the analysis of HEVC Intra Prediction Mode Decision Variants“. Procedia Computer Science 171 (2020): 1887–97. http://dx.doi.org/10.1016/j.procs.2020.04.202.

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32

Tariq, Junaid, und Sam Kwong. „Adaptive stopping strategies for fast intra mode decision in HEVC“. Journal of Visual Communication and Image Representation 51 (Februar 2018): 1–13. http://dx.doi.org/10.1016/j.jvcir.2017.12.008.

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33

Tariq, Junaid, Ammar Armghan, Amir Ijaz und Imran Ashraf. „Pure intra mode decision in HEVC using optimized firefly algorithm“. Journal of Visual Communication and Image Representation 68 (April 2020): 102766. http://dx.doi.org/10.1016/j.jvcir.2020.102766.

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34

Chen, Yamei, Li Yu, Hongkui Wang, Tiansong Li und Shengwei Wang. „A novel fast intra mode decision for versatile video coding“. Journal of Visual Communication and Image Representation 71 (August 2020): 102849. http://dx.doi.org/10.1016/j.jvcir.2020.102849.

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35

Jamali, Mohammadreza, und Stephane Coulombe. „Fast HEVC Intra Mode Decision Based on RDO Cost Prediction“. IEEE Transactions on Broadcasting 65, Nr. 1 (März 2019): 109–22. http://dx.doi.org/10.1109/tbc.2018.2847464.

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36

Wang, Chi, Gui Feng, Chunting Cai, Xue Han und Haiyan Cao. „Multi-strategy depth intra mode decision algorithm in 3D-HEVC“. Multimedia Tools and Applications 79, Nr. 13-14 (07.06.2019): 8841–61. http://dx.doi.org/10.1007/s11042-019-7715-0.

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37

Zhang, Qiuwen, Yongshuang Yang, Huawen Chang, Weiwei Zhang und Yong Gan. „Fast intra mode decision for depth coding in 3D-HEVC“. Multidimensional Systems and Signal Processing 28, Nr. 4 (29.02.2016): 1203–26. http://dx.doi.org/10.1007/s11045-016-0388-1.

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38

Duvar, Ramazan, Orhan Akbulut und Oğuzhan Urhan. „Fast inter mode decision exploiting intra-block similarity in HEVC“. Signal Processing: Image Communication 78 (Oktober 2019): 503–10. http://dx.doi.org/10.1016/j.image.2019.08.010.

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39

Kim, Dae-Yeon, Jeong-Pil Kim und Yung-Lyul Lee. „Fast Intra Prediction Mode Decision using Most Probable Mode for H.264/AVC“. Journal of Broadcast Engineering 15, Nr. 3 (30.05.2010): 380–90. http://dx.doi.org/10.5909/jbe.2010.15.3.380.

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40

Ma, Yue, Zhaoyi Liu, Xinghua Wang und Shan Cao. „Fast intra coding based on CU size decision and direction mode decision for HEVC“. Multimedia Tools and Applications 77, Nr. 12 (29.08.2017): 14907–29. http://dx.doi.org/10.1007/s11042-017-5074-2.

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41

Wang, Jianhua, Fujian Xu, Yanliang Diao, Jun Liu, Yubin Lan und Lianglun Cheng. „A Fast Intra Mode Prediction Decision Algorithm Based on Neighborhood Grouping for HEVC“. Journal of Imaging Science and Technology 63, Nr. 6 (01.11.2019): 60503–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2019.63.6.060503.

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Abstract High Efficiency Video Coding (HEVC) employs quadtree coding tree unit (CTU) structure to improve its coding efficiency, but at the same time, it requires a very high computational complexity due to its exhaustive calculating process to find the optimal prediction mode for the current CU (Coding Unit). Aiming to solve the problem, a fast intra mode prediction decision algorithm based on neighborhood grouping is presented for HEVC in this article. The contribution of this article lies in the fact that the authors successfully use the neighborhood grouping technology to rapidly find the optimal prediction mode for the current CU, which can significantly reduce computation complexity for HEVC. Specifically, they use the correlative information of adjacent angle prediction mode in their first scheme to quickly reduce the number of Rough Mode Decision (RMD); then they use the correlation between Most Probable Mode (MPM) and the first candidate mode selected as the optimal prediction mode to quickly determine the number of candidate modes; at last, they quickly find the optimal prediction mode with the minimum Rate Distortion Cost (RDCost) by using neighborhood grouping technology or direct calculation approach based on the number of candidate modes. As a result, their proposed algorithm can efficiently solve the problem above. The simulation results show that our proposed intra mode prediction decision algorithm based on neighborhood grouping in this article can reduce about 22.3% computational complexity on average only at a cost of 0.03% bit rate increase and 0.26% PSNR decline compared with the standard reference HM16.1 algorithm.

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42

Yi-Hsin Huang, Tao-Sheng Ou und H. H. Chen. „Fast Decision of Block Size, Prediction Mode, and Intra Block for H.264 Intra Prediction“. IEEE Transactions on Circuits and Systems for Video Technology 20, Nr. 8 (August 2010): 1122–32. http://dx.doi.org/10.1109/tcsvt.2010.2057018.

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43

Park, Chun‐Su. „Efficient intra‐mode decision algorithm skipping unnecessary depth‐modelling modes in 3D‐HEVC“. Electronics Letters 51, Nr. 10 (Mai 2015): 756–58. http://dx.doi.org/10.1049/el.2014.3874.

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44

Si, Wen, Qian Zhang, Zhengcheng Shi, Bin Wang, Tao Yan und Yihai Chen. „A Fast Mode Decision Algorithm for Intra Prediction in High Efficiency Video Coding“. Journal of Medical Imaging and Health Informatics 10, Nr. 2 (01.02.2020): 496–501. http://dx.doi.org/10.1166/jmihi.2020.2896.

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High Efficiency Video Coding (HEVC) is the next generation video coding standard. In HEVC, 35 intra prediction modes are defined to improve coding efficiency, which result in huge computational complexity, as a large number of prediction modes and a flexible coding unit (CU) structure is adopted in CU coding. To reduce this computational burden, this paper presents a gradient-based candidate list clipping algorithm for Intra mode prediction. Experimental results show that the proposed algorithm can reduce 29.16% total encoding time with just 1.34% BD-rate increase and –0.07 dB decrease of BD-PSNR.

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45

Ni, Chi-Ting, Shih-Hsiang Lin, Pei-Yin Chen und Yu-Ting Chu. „High Efficiency Intra CU Partition and Mode Decision Method for VVC“. IEEE Access 10 (2022): 77759–71. http://dx.doi.org/10.1109/access.2022.3193401.

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46

ZHU Shi-ping, 祝世平, und 李丽芸 LI Li-yun. „Optimization of intra-prediction mode decision in new generation video coding“. Optics and Precision Engineering 22, Nr. 6 (2014): 1686–95. http://dx.doi.org/10.3788/ope.20142206.1686.

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47

Yu-Ming Lee, Yu-Ting Sun und Yinyi Lin. „SATD-Based Intra Mode Decision for H.264/AVC Video Coding“. IEEE Transactions on Circuits and Systems for Video Technology 20, Nr. 3 (März 2010): 463–69. http://dx.doi.org/10.1109/tcsvt.2009.2035853.

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48

Wang, Dayong, Yu Sun, Ce Zhu, Weisheng Li, Frederic Dufaux und Jiangtao Luo. „Fast Depth and Mode Decision in Intra Prediction for Quality SHVC“. IEEE Transactions on Image Processing 29 (2020): 6136–50. http://dx.doi.org/10.1109/tip.2020.2988167.

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49

Quan, Do, und Yo-Sung Ho. „Categorization for fast intra prediction mode decision in H.264/AVC“. IEEE Transactions on Consumer Electronics 56, Nr. 2 (Mai 2010): 1049–56. http://dx.doi.org/10.1109/tce.2010.5506038.

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50

Ozcan, Erdem, Ercan Kalali, Yusuf Adibelli und Ilker Hamzaoglu. „A computation and energy reduction technique for HEVC intra mode decision“. IEEE Transactions on Consumer Electronics 60, Nr. 4 (November 2014): 745–53. http://dx.doi.org/10.1109/tce.2014.7027351.

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