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Journal articles on the topic 'Macroblock'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Wang, Xiaodong, Ting Yao, Shaobo Li, Lianjun Zhang, and Chaolin Wang. "Macroblock Importance Based Method for Stereo Video Congestion Control." Cybernetics and Information Technologies 15, no. 6 (2015): 81–90. http://dx.doi.org/10.1515/cait-2015-0069.

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Abstract Transporting a stereo video stream over an unreliable channel can degrade severely the video quality. Network congestion is one of the important factors affecting the video quality. To improve the stereo video quality, a stereo video congestion control method, based on the macroblock importance, is proposed. Firstly, the importance of every macroblock is calculated according to its influence on the current frame and future frames. Then, combined with the importance information, all macroblocks of a frame are divided into three levels. Finally, the packets are transported with the help

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2

CHEW, LI WERN, WAI CHONG CHIA, LI-MINN ANG, and KAH PHOOI SENG. "HIGH PERFORMANCE, LOW-COMPLEXITY LINE-BASED MOTION ESTIMATION ALGORITHM WITH SMOOTHING AND PREPROCESSING." International Journal of Pattern Recognition and Artificial Intelligence 23, no. 01 (2009): 101–14. http://dx.doi.org/10.1142/s0218001409006990.

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This paper introduces a smoothing and preprocessing (S+P) technique for a line-based one-bit-transform (1BT) motion estimation scheme. In the proposed algorithm, a smoothing threshold ( Threshold S) is incorporated into the 1BT convolutional kernel. By using the smoothing threshold, scattering noise which is a common problem in most 1BT images can be greatly reduced. After the transformation, the 1BT images for the current and reference frames are divided into a number of macroblocks. The macroblock in the current frame is first compared with the macroblock at the same position in the referenc

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3

Kong, Xiang Jun, Yan Zhao, Qian Fan, Shi Gang Wang, and He Xin Chen. "A Fast Algorithm for Motion and Disparity Estimation Based on the Reference Directions of Neighboring Macroblocks." Advanced Materials Research 846-847 (November 2013): 1201–4. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1201.

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As for JMVC (Joint Multi-view Video Coding), when executing motion and disparity estimation simultaneously, the implicit correlation of reference directions between current and neighboring macroblocks is neglected, and this will lead to useless searching. To reduce this redundancy, we propose an estimation algorithm which sets search ranges properly by exploiting the mentioned correlation. The proposed algorithm first gets the reference directions of macroblocks in the left, top and top right direction of current macroblock, and compares them with current reference direction, then sets search

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4

Qin, Huan Chang. "Mode Decision Strategy for I-Frames in H.264/AVC Based on Low-Pass Filter." Key Engineering Materials 460-461 (January 2011): 810–15. http://dx.doi.org/10.4028/www.scientific.net/kem.460-461.810.

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For the purpose of reduce the complicated process of H.264/AVC standard, the overall coding flow is studied, and some of the key technolies are discussed in the front part of this thesis. An algorithm for determining the distortion for different data partitions in H.264/AVC is proposed. A low-pass filter is implemented for each macroblock; after the macroblock is smoothed by this filter we compare the result of the filtered macroblock with the original data and generate the difference between them. Then the basic candidate-mode class is determined based on the difference, and the further mode

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5

PSANNIS, K., and Y. ISHIBASHI. "Efficient Flexible Macroblock Ordering Technique." IEICE Transactions on Communications E91-B, no. 8 (2008): 2692–701. http://dx.doi.org/10.1093/ietcom/e91-b.8.2692.

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6

Ali, Ismail, Sandro Moiron, Martin Fleury, and Mohammed Ghanbari. "Congestion Resiliency for Data-Partitioned H.264/AVC Video Streaming Over IEEE 802.11e Wireless Networks." International Journal of Handheld Computing Research 3, no. 1 (2012): 55–73. http://dx.doi.org/10.4018/jhcr.2012010104.

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This paper examines the impact of data partitioning form on wireless network access control and proposes a selective dropping scheme based on dropping the partition carrying intra-coded macroblocks. Data partitioning is an error resiliency technique that allows unequal error protection for transmission over ‘lossy’ channels. Including a per-picture, cyclic intra-refresh macroblock line guards against temporal error propagation. The authors show that when congestion occurs, it is possible to gain up to 2 dB in video quality over assigning a stream to a single IEEE 802.11e access category. The s

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7

Milicevic, Zoran, and Zoran Bojkovic. "An approach to selective intra coding and early inter skip prediction in H.264/AVC standard." Facta universitatis - series: Electronics and Energetics 21, no. 1 (2008): 107–19. http://dx.doi.org/10.2298/fuee0801107m.

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This paper presents selective intra coding and early inter skip fast mode decision algorithm for H.264/AVC and compares performance of H.264/AVC with prior standards. Video coding standard H.264/AVC provides gains in compression efficiency of up to 50% over a wide range of bit rates and video resolutions compared to previous standards. In order to achieve this, a robust rate-distortion optimization (RDO) technique is employed to select best coding mode and reference frame for each macroblock. Also, the original and modification test models are compared for combined skip and intra prediction me

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8

Ahmed, Zayneb, Abir Jaafar Hussain, Wasiq Khan, et al. "Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics." Remote Sensing 12, no. 6 (2020): 1004. http://dx.doi.org/10.3390/rs12061004.

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The smart city concept has attracted high research attention in recent years within diverse application domains, such as crime suspect identification, border security, transportation, aerospace, and so on. Specific focus has been on increased automation using data driven approaches, while leveraging remote sensing and real-time streaming of heterogenous data from various resources, including unmanned aerial vehicles, surveillance cameras, and low-earth-orbit satellites. One of the core challenges in exploitation of such high temporal data streams, specifically videos, is the trade-off between

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9

Yang, Xiao Yuan, Li Yi Zhao, and Ke Niu. "An Efficient Video Steganography Algorithm Based on Sub-Macroblock Partition for H.264/AVC." Advanced Materials Research 433-440 (January 2012): 5384–89. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5384.

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In this paper, a simple video steganography algorithm based on the tree structured motion compensation of the H.264 video compression standard is proposed. In the proposed method, the head data of macroblock in P/B-frames was used as a cover, the 8x8 partition modes which represent the detailed areas are selected, and information hiding is implemented by modifying the partition modes of the sub-macroblock. Experiments are designed to prove the feasibility of the proposed scheme by using different kinds of test videos. Simulation results show that, in our scheme, a high data hiding rate is obta

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10

Hyun, Myung-Han. "A Variable Quantization Coefficient Scanning for Macroblock Considering the Histogram Value of Previous Macroblock's Quantization Coefficient." Journal of the Korea Institute of Military Science and Technology 14, no. 2 (2011): 281–88. http://dx.doi.org/10.9766/kimst.2011.14.2.281.

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11

Chaumat, G., P. Le Gallo, G. Le Marois, F. Moret, and P. Deschamp. "Macroblock manufacturing by ‘hip assisted brazing’ method." Journal of Nuclear Materials 233-237 (October 1996): 932–34. http://dx.doi.org/10.1016/s0022-3115(96)00311-x.

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12

Luo, Lijun, Yang Lu, Cairong Zou, and Zhenya He. "Image sequence macroblock classification using neural networks." Signal Processing 69, no. 2 (1998): 191–98. http://dx.doi.org/10.1016/s0165-1684(98)00089-9.

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13

Lambert, P., W. De Neve, Y. Dhondt, and R. Van de Walle. "Flexible macroblock ordering in H.264/AVC." Journal of Visual Communication and Image Representation 17, no. 2 (2006): 358–75. http://dx.doi.org/10.1016/j.jvcir.2005.05.008.

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14

Usha, M. "Motion Detection in Compressed Video Using Macroblock Classification." Advanced Computing: An International Journal 5, no. 2/3 (2014): 1–15. http://dx.doi.org/10.5121/acij.2014.5301.

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15

Le, Thanh Ha, Seung-Won Jung, Seung-Jin Baek, and Sung-Jea Ko. "Improved Method for the Macroblock-Level Deblocking Scheme." ETRI Journal 33, no. 2 (2011): 194–200. http://dx.doi.org/10.4218/etrij.11.0110.0205.

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16

Park, Sang-Hyun. "Adaptive Macroblock Quantization Method for H.264 Codec." Journal of the Korean Institute of Information and Communication Engineering 14, no. 5 (2010): 1193–200. http://dx.doi.org/10.6109/jkiice.2010.14.5.1193.

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17

Wang, Zhenyu, Shengfu Dong, Ronggang Wang, Wenmin Wang, and Wen Gao. "Dynamic macroblock wavefront parallelism for parallel video coding." Journal of Visual Communication and Image Representation 28 (April 2015): 36–43. http://dx.doi.org/10.1016/j.jvcir.2015.01.005.

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18

Lin, Weiyao, Ming-Ting Sun, Hongxiang Li, Zhenzhong Chen, Wei Li, and Bing Zhou. "Macroblock Classification Method for Video Applications Involving Motions." IEEE Transactions on Broadcasting 58, no. 1 (2012): 34–46. http://dx.doi.org/10.1109/tbc.2011.2170611.

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19

Zhao, Yafan, and Iain E. G. Richardson. "Macroblock classification for complexity management of video encoders." Signal Processing: Image Communication 18, no. 9 (2003): 801–11. http://dx.doi.org/10.1016/s0923-5965(03)00072-9.

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20

Wu, Feng, Shipeng Li, Xiaoyan Sun, Bing Zeng, and Ya-Qin Zhang. "Macroblock-based progressive fine granularity scalable video coding." International Journal of Imaging Systems and Technology 13, no. 6 (2003): 297–307. http://dx.doi.org/10.1002/ima.10071.

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21

Ou, Jianping. "All zero macroblock decision method for H.26L." Journal of Electronics (China) 21, no. 3 (2004): 222–28. http://dx.doi.org/10.1007/bf02687875.

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22

Jo, Hyun-Ho, Jung-Hak Nam, Kwang-Soo Jung, Dong-Gyu Sim, and Byeong-Doo Choi. "Macroblock-based adaptive loop filter for all intra-coding." Optical Engineering 52, no. 3 (2013): 037403. http://dx.doi.org/10.1117/1.oe.52.3.037403.

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23

Soo-Chang Pei and Yu-Zuong Chou. "Efficient MPEG compressed video analysis using macroblock type information." IEEE Transactions on Multimedia 1, no. 4 (1999): 321–33. http://dx.doi.org/10.1109/6046.807952.

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24

Shu, Haiyan, and Lap-Pui Chau. "Intra/Inter Macroblock Mode Decision for Error-Resilient Transcoding." IEEE Transactions on Multimedia 10, no. 1 (2008): 97–104. http://dx.doi.org/10.1109/tmm.2007.911300.

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25

Chen, Jianwen, Jianhua Zheng, and Yun He. "Macroblock-Level Adaptive Frequency Weighting for Perceptual Video Coding." IEEE Transactions on Consumer Electronics 53, no. 2 (2007): 775–81. http://dx.doi.org/10.1109/tce.2007.381759.

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26

HAN, K. H. "Fast Macroblock Mode Determination to Reduce H.264 Complexity." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E88-A, no. 3 (2005): 800–804. http://dx.doi.org/10.1093/ietfec/e88-a.3.800.

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27

Hyun, M. H., J. T. Yu, and S. B. Lee. "Macroblock-dependent zigzag scanning algorithm for H.264/AVC." Electronics Letters 48, no. 4 (2012): 213. http://dx.doi.org/10.1049/el.2011.3886.

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28

Woods, J. C., S. Ramanan, and D. E. Pearson. "Selective macroblock level switching for model-based coded video." Electronics Letters 35, no. 5 (1999): 388. http://dx.doi.org/10.1049/el:19990264.

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29

Peng, Zongju, Gangyi Jiang, Mei Yu, and Qionghai Dai. "Fast Macroblock Mode Selection Algorithm for Multiview Video Coding." EURASIP Journal on Image and Video Processing 2008 (2008): 1–14. http://dx.doi.org/10.1155/2008/393727.

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30

Wu, Ming Te. "Efficient Motion Estimation Algorithms for Video Coding." Advanced Materials Research 225-226 (April 2011): 953–56. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.953.

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This work proposes an efficient motion estimation algorithm for video coding. The proposed method calculates the partial distortion by replacing a certain number pixels of each partial sub-macroblock. In addition to increase the probability of the rejection of unsuitable motion vectors without additional computations, the proposed approach reduce computational complexity significantly and obtains better objective quality than conventional motion estimation algorithms.

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31

Song, Dae-Geon. "A Study on Fast Macroblock Partition Decision Method at H264." Journal of the Institute of Webcasting, Internet and Telecommunication 14, no. 6 (2014): 99–105. http://dx.doi.org/10.7236/jiibc.2014.14.6.99.

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32

Zongju Peng, 彭宗举, 郁梅 Mei Yu, 蒋刚毅 Gangyi Jiang, 邵枫 Feng Shao, 张云 Yun Zhang, and 杨铀 You Yang. "Fast macroblock mode selection algorithm for multiview depth video coding." Chinese Optics Letters 8, no. 2 (2010): 151–54. http://dx.doi.org/10.3788/col20100802.0151.

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33

Muzaffar, Tanzeem. "Video data reduction with error resilience based on macroblock reorder." Journal of Electronic Imaging 14, no. 1 (2005): 013008. http://dx.doi.org/10.1117/1.1868001.

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34

Zheng, J., and L. P. Chau. "Error-Resilient Coding of H.264 Based on Periodic Macroblock." IEEE Transactions on Broadcasting 52, no. 2 (2006): 223–29. http://dx.doi.org/10.1109/tbc.2006.874745.

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35

Jung, Bongsoo. "Joint motion vector encoding scheme with a pooled macroblock type." Optical Engineering 47, no. 12 (2008): 120501. http://dx.doi.org/10.1117/1.3046713.

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36

Roxas, Edison A., Ryan Rhay P. Vicerra, Gil Nonato C. Santos, Elmer P. Dadios, and Argel A. Bandala. "Lane Detection and Spatiotemporal Reconstruction Using the Macroblock Predictions Method." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 5 (2018): 660–65. http://dx.doi.org/10.20965/jaciii.2018.p0660.

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Detection and tracking of road lane markings offers several applications in intelligent transport systems (ITS). Although it is perceived as the simple task of isolating lanes on various types of roads, the accuracy of detection remains an issue. Several studies in recent literature have proposed solutions to this problem; however, none of these have used the method of macroblock (MB) prediction. This paper focuses on the type of MB applied for lane detection, tracking, and predictions, as well as the trade-off between the accuracy and complexity of implementing the system. This study makes th

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37

You, Jongmin, Wonkyun Kim, and Jechang Jeong. "16x16 macroblock partition size prediction for H.264 P slices." IEEE Transactions on Consumer Electronics 52, no. 4 (2006): 1377–83. http://dx.doi.org/10.1109/tce.2006.273159.

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38

Zhao, Dandan, Yujie Zhou, Dayong Wang, and Junfa Mao. "Effective macroblock layer rate control algorithm for H.264/AVC." Computers & Electrical Engineering 37, no. 4 (2011): 550–58. http://dx.doi.org/10.1016/j.compeleceng.2011.04.009.

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39

Da Silva, Thaísa L., Luis A. S. Cruz, and Luciano V. Agostini. "A Novel Macroblock-Level Filtering Upsampling Architecture for H.264/AVC Scalable Extension." Journal of Integrated Circuits and Systems 6, no. 1 (2011): 43–49. http://dx.doi.org/10.29292/jics.v6i1.337.

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The scalable extension of the H.264/AVC standard, also called H.264/AVC SVC standard or simply SVC standard uses spatial upsampling in the spatial scalability modes. This work presents a novel upsampling architecture designed for operation at macroblock level and dyadic upsampling ratio with QVGA as the base layer resolution and VGA as the enhancement resolution.The adoption of a macroblock-level solution translates into a more efficient use of hardware resources with savings of approximately 25% in the number of ALUTs and DLRs and using about two hundred times less memory bits, when compared

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40

Shah, Nehal N., Harikrishna Singapuri, and Upena D. Dalal. "Hardware Efficient Architecture with Variable Block Size for Motion Estimation." Journal of Electrical and Computer Engineering 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/5091519.

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Video coding standards such as MPEG-x and H.26x incorporate variable block size motion estimation (VBSME) which is highly time consuming and extremely complex from hardware implementation perspective due to huge computation. In this paper, we have discussed basic aspects of video coding and studied and compared existing architectures for VBSME. Various architectures with different pixel scanning pattern give a variety of performance results for motion vector (MV) generation, showing tradeoff between macroblock processed per second and resource requirement for computation. Aim of this paper is

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41

Li, Xin Jun, and Ping Chen. "The Application of Fast and Effective Shot Boundary Detection Algorithm in Mechanical Engineering." Advanced Materials Research 681 (April 2013): 121–25. http://dx.doi.org/10.4028/www.scientific.net/amr.681.121.

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In this paper, a novel shot boundary detection algorithm is proposed that operates completely in the compressed domain using macroblock type information. While the proposed algorithm can save a lot of computation cost, extensive experiments support that the proposed algorithm also achieves superior performances. Such technique will provide a range of useful applications for on-line video content analysis, processing, and management. Experimental results show that the proposed shot boundary detection algorithm achieve a high recall, precision and F measure.

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42

CHEN Fen, 陈芬, 郑迪 ZHENG Di, 彭宗举 PENG Zong-ju, 蒋刚毅 JIANG Gang-yi, and 王叶群 WANG Ye-qun. "Depth video fast macroblock mode selection algorithm based on mode complexity." Optics and Precision Engineering 22, no. 8 (2014): 2196–204. http://dx.doi.org/10.3788/ope.20142208.2196.

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43

Huang, Yiqing, Qin Liu, and Takeshi Ikenaga. "Macroblock Feature Based Adaptive Propagate Partial SAD Architecture for HDTV Application." IPSJ Transactions on System LSI Design Methodology 2 (2009): 263–73. http://dx.doi.org/10.2197/ipsjtsldm.2.263.

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44

Zhu, Gaofeng, Mei Yu, Gangyi Jiang, et al. "A Novel Macroblock Level Rate Control Method for Stereo Video Coding." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/136854.

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To compress stereo video effectively, this paper proposes a novel macroblock (MB) level rate control method based on binocular perception. A binocular just-notification difference (BJND) model based on the parallax matching is first used to describe binocular perception. Then, the proposed rate control method is performed in stereo video coding with four levels, namely, view level, group-of-pictures (GOP) level, frame level, and MB level. In the view level, different proportions of bitrates are allocated for the left and right views of stereo video according to the prestatistical rate allocati

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45

Yi, Gao, Yu Shengsheng, Po Lai Man, and Chen Jiazhong. "Collocated Macroblock Based Motion Estimation for H.264/AVC on GPU." HKIE Transactions 17, no. 3 (2010): 15–18. http://dx.doi.org/10.1080/1023697x.2010.10668199.

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46

HUANG, Y., Q. LIU, and T. IKENAGA. "Macroblock Feature Based Complexity Reduction for H.264/AVC Motion Estimation." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E91-A, no. 10 (2008): 2934–44. http://dx.doi.org/10.1093/ietfec/e91-a.10.2934.

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47

MUZAFFAR, T. "Increased Video Compression with Error-Resilience Capability Based on Macroblock Processing." IEICE Transactions on Information and Systems E88-D, no. 5 (2005): 1082–85. http://dx.doi.org/10.1093/ietisy/e88-d.5.1082.

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48

Chandran, Anila. "Stegnography in video files using Multivariate Regression and Flexible Macroblock Ordering." IOSR Journal of Computer Engineering 16, no. 5 (2014): 24–28. http://dx.doi.org/10.9790/0661-16592428.

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49

Gong, Y. "Improved macroblock mode selection for H.264∕AVC in wireless environments." Electronics Letters 42, no. 6 (2006): 338. http://dx.doi.org/10.1049/el:20063717.

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50

Liu, Hao, HaiQin Xu, and ShuGuang Zhao. "Consistent-degradation macroblock grouping for parallel video streams over DiffServ networks." Computer Communications 35, no. 2 (2012): 151–58. http://dx.doi.org/10.1016/j.comcom.2011.08.006.

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