Academic literature on the topic 'Sound MPEG (Video coding standard) Video compression'

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Journal articles on the topic "Sound MPEG (Video coding standard) Video compression"

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Puri, Atul, Xuemin Chen, and Ajay Luthra. "Video coding using the H.264/MPEG-4 AVC compression standard." Signal Processing: Image Communication 19, no. 9 (October 2004): 793–849. http://dx.doi.org/10.1016/j.image.2004.06.003.

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SU, YUTING, JUNYU XU, BO DONG, JING ZHANG, and QINGZHONG LIU. "A NOVEL SOURCE MPEG-2 VIDEO IDENTIFICATION ALGORITHM." International Journal of Pattern Recognition and Artificial Intelligence 24, no. 08 (December 2010): 1311–28. http://dx.doi.org/10.1142/s0218001410008408.

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With the availability of powerful multimedia editing software, all types of personalized image and video resources are available in networks. Multimedia forensics technology has become a new topic in the field of information security. In this paper, a new source video system identification algorithm is proposed based on the features in the video stream; it takes full advantage of the different characteristics in the rate control module and the motion prediction module, which are two open parts in the MPEG-2 video compression standard, and combines a support vector machine classifier to build an intelligent computing system for video source identification. The experiments show this proposed algorithm can effectively identify video streams that come from a number of video coding systems.
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Bouaafia, Soulef, Randa Khemiri, Seifeddine Messaoud, and Fatma Elzahra Sayadi. "Complexity Analysis of New Future Video Coding (FVC) Standard Technology." International Journal of Digital Multimedia Broadcasting 2021 (August 2, 2021): 1–13. http://dx.doi.org/10.1155/2021/6627673.

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Future Video Coding (FVC) is a modern standard in the field of video coding that offers much higher compression efficiency than the HEVC standard. FVC was developed by the Joint Video Exploration Team (JVET), formed through collaboration between the ISO/IEC MPEG and ITU-T VCEG. New tools emerging with the FVC bring in super resolution implementation schemes that are being recommended for Ultra-High-Definition (UHD) video coding in both SDR and HDR images. However, a new flexible block structure is adopted in the FVC standard, which is named quadtree plus binary tree (QTBT) in order to enhance compression efficiency. In this paper, we provide a fast FVC algorithm to achieve better performance and to reduce encoding complexity. First, we evaluate the FVC profiles under All Intra, Low-Delay P, and Random Access to determine which coding components consume the most time. Second, a fast FVC mode decision is proposed to reduce encoding computational complexity. Then, a comparison between three configurations, namely, Random Access, Low-Delay B, and Low-Delay P, is proposed, in terms of Bitrate, PSNR, and encoding time. Compared to previous works, the experimental results prove that the time saving reaches 13% with a decrease in the Bitrate of about 0.6% and in the PSNR of 0.01 to 0.2 dB.
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Van der Auwera, Geert, Prasanth T. David, Martin Reisslein, and Lina J. Karam. "Traffic and Quality Characterization of the H.264/AVC Scalable Video Coding Extension." Advances in Multimedia 2008 (2008): 1–27. http://dx.doi.org/10.1155/2008/164027.

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The recent scalable video coding (SVC) extension to the H.264/AVC video coding standard has unprecedented compression efficiency while supporting a wide range of scalability modes, including temporal, spatial, and quality (SNR) scalability, as well as combined spatiotemporal SNR scalability. The traffic characteristics, especially the bit rate variabilities, of the individual layer streams critically affect their network transport. We study the SVC traffic statistics, including the bit rate distortion and bit rate variability distortion, with long CIF resolution video sequences and compare them with the corresponding MPEG-4 Part 2 traffic statistics. We consider (i) temporal scalability with three temporal layers, (ii) spatial scalability with a QCIF base layer and a CIF enhancement layer, as well as (iii) quality scalability modes FGS and MGS. We find that the significant improvement in RD efficiency of SVC is accompanied by substantially higher traffic variabilities as compared to the equivalent MPEG-4 Part 2 streams. We find that separately analyzing the traffic of temporal-scalability only encodings gives reasonable estimates of the traffic statistics of the temporal layers embedded in combined spatiotemporal encodings and in the base layer of combined FGS-temporal encodings. Overall, we find that SVC achieves significantly higher compression ratios than MPEG-4 Part 2, but produces unprecedented levels of traffic variability, thus presenting new challenges for the network transport of scalable video.
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CHIANG, TIHAO, and YA-QIN ZHANG. "STEREOSCOPIC VIDEO CODING USING A FAST AND ROBUST AFFINE MOTION SEARCH." International Journal of Image and Graphics 01, no. 02 (April 2001): 231–50. http://dx.doi.org/10.1142/s0219467801000153.

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This paper presents a stereoscopic video compression scheme using a novel fast affine motion estimation technique. A temporal scalable approach is used to achieve backward compatibility with a standard definition TV. We use an adaptive mode selection scheme from three temporal locations in both channels. Both block-based and affine-motion based approaches are used to achieve two levels of improvements with different complexities. An innovative motion estimation technique using Gauss–Newton optimization and pyramid processing is implemented to efficiently estimate affine parameters. Unlike other Gauss–Newton approaches, our search technique uses only addition, subtraction and multiplication and it converges within four iterations, which implies great complexity reduction. An efficient and robust affine motion prediction yields significant over the disparity-based approach. Part of the disparity-based approach has been tested in the rigorous MPEG-2 bitstream exchange process, and adopted in the MPEG-2 Multi-View Profile (MVP).
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Rad, Farhad, and Ali Broumandnia. "An Efficient Implementation of the Entire Transforms in the H.264/AVC Encoder using VHDL." International Journal of Reconfigurable and Embedded Systems (IJRES) 2, no. 3 (November 1, 2013): 116. http://dx.doi.org/10.11591/ijres.v2.i3.pp116-121.

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The H.264/AVC standard achieves remarkable higher compression performance than the previous MPEG and H.26X standards. One of the computationally intensive units in the MPEG and H.26X video coding families is the Discrete Cosine Transform (DCT). In this paper, we propose an efficient implementation of the DCT, inverse DCTs and the Hadamard transforms in the H.264/AVC encoder using VHDL. The synthesis results indicate that our implementation of the entire transforms achieves lower power, delay and area consumption compared to the existing architectures in the H.264/AVC encoder.
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Ahuja, Rakesh, and S. S. Bedi. "Robust Video Watermarking Scheme Based on Intra-Coding Process in MPEG-2 Style." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 6 (December 1, 2017): 3332. http://dx.doi.org/10.11591/ijece.v7i6.pp3332-3343.

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The proposed scheme implemented a semi blind digital watermarking method for video exploiting MPEG-2 standard. The watermark is inserted into selected high frequency coefficients of plain types of discrete cosine transform blocks instead of edge and texture blocks during intra coding process. The selection is essential because the error in such type of blocks is less sensitive to human eyes as compared to other categories of blocks. Therefore, the perceptibility of watermarked video does not degraded sharply. Visual quality is also maintained as motion vectors used for generating the motion compensated images are untouched during the entire watermarking process. Experimental results revealed that the scheme is not only robust to re-compression attack, spatial synchronization attacks like cropping, rotation but also strong to temporal synchronization attacks like frame inserting, deleting, swapping and averaging. The superiority of the anticipated method is obtaining the best sturdiness results contrast to the recently delivered schemes.
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Zhang, Qiuwen, Yihan Wang, Tao Wei, Bin Jiang, and Yong Gan. "A Complexity Reduction Scheme for Depth Coding in 3D-HEVC." Information 10, no. 5 (May 3, 2019): 164. http://dx.doi.org/10.3390/info10050164.

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3D-high efficiency video coding (3D-HEVC) is the next-generation compression standard for multiview system applications, which has recently been approved by MPEG and VCEG as an extension of HEVC. To improve the compression efficiency of depth map, several compression tools have been developed for a better representation depth edges. These supplementary coding tools together with existing prediction modes can achieve high compression efficiency, but require a very high complexity that restricts the encoders from ongoing application. In this paper, we introduce a fast scheme to reduce complexity of depth coding in inter and intramode prediction procedure. A simulation analysis is performed to study intra and intermode distribution correlations in the depth compression information. Based on that correlation, we exploit two complexity reduction strategies, including early SKIP and adaptive intra prediction selection. Experimental results demonstrate that our scheme can achieve a complexity reduction up to 63.0%, without any noticeable loss of compression efficiency.
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Wang, Chou-Chen, Chi-Wei Tung, and Jing-Wein Wang. "An Effective Transform Unit Size Decision Method for High Efficiency Video Coding." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/718189.

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High efficiency video coding (HEVC) is the latest video coding standard. HEVC can achieve higher compression performance than previous standards, such as MPEG-4, H.263, and H.264/AVC. However, HEVC requires enormous computational complexity in encoding process due to quadtree structure. In order to reduce the computational burden of HEVC encoder, an early transform unit (TU) decision algorithm (ETDA) is adopted to pruning the residual quadtree (RQT) at early stage based on the number of nonzero DCT coefficients (called NNZ-EDTA) to accelerate the encoding process. However, the NNZ-ETDA cannot effectively reduce the computational load for sequences with active motion or rich texture. Therefore, in order to further improve the performance of NNZ-ETDA, we propose an adaptive RQT-depth decision for NNZ-ETDA (called ARD-NNZ-ETDA) by exploiting the characteristics of high temporal-spatial correlation that exist in nature video sequences. Simulation results show that the proposed method can achieve time improving ratio (TIR) about 61.26%~81.48% when compared to the HEVC test model 8.1 (HM 8.1) with insignificant loss of image quality. Compared with the NNZ-ETDA, the proposed method can further achieve an average TIR about 8.29%~17.92%.
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"Research Inferences In Video Compression Domain." International Journal of Engineering and Advanced Technology 8, no. 6 (August 30, 2019): 3659–65. http://dx.doi.org/10.35940/ijeat.f9370.088619.

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Video Compression (VC) is a painstaking investigation area in the modernization of digital existence because of more evolution being emerged in web relevance. In this direction, video compression is grown-up rapdily and confirmed by the large number of myriad applications in Video streaming, Computer Vision like Video Tampering Detection, Video Surveillance and Camera Moving etc., which collectively use of this compression technology. This paper attributes / opensup / endeavours the whole possible and recent research directions and its challenges by focusing the potential investigations on compression domain of MPEG, H.264, H.265 compression coding standard with latest computing techniques in learning videos via Machine Learning.
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Dissertations / Theses on the topic "Sound MPEG (Video coding standard) Video compression"

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Brown, Kyle Russell. "Packet level frame discard for MPEG-2 video in an active network." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE1000109.

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Thesis (M.S.)--University of Florida, 2002.
Title from title page of source document. Document formatted into pages; contains vii, 67 p.; also contains graphics. Includes vita. Includes bibliographical references.
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Chen, Howard. "AZIP, audio compression system: Research on audio compression, comparison of psychoacoustic principles and genetic algorithms." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2617.

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The purpose of this project is to investigate the differences between psychoacoustic principles and genetic algorithms (GA0). These will be discussed separately. The review will also compare the compression ratio and the quality of the decompressed files decoded by these two methods.
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Yu, Chia Woo. "Arbitrary shape video coding techniques /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202002%20YU.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2002.
Includes bibliographical references (leaves 81-88). Also available in electronic version. Access restricted to campus users.
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Shamim, Md Ahsan. "Object based video coding." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0034/MQ62425.pdf.

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Chang, Andy. "Fast multi-frame and multi-block selection for H.264 video coding standard /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202003%20CHANG.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003.
Includes bibliographical references (leaves 57-58). Also available in electronic version. Access restricted to campus users.
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蔡固庭 and Koo-ting Choi. "Improved processing techniques for picture sequence coding." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31220642.

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Choi, Koo-ting. "Improved processing techniques for picture sequence coding /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20565550.

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Luo, Enming. "Computational complexity reduction in the spatial scalable video coding encoder /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?ECED%202009%20LUOE.

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Su, Yeping. "Advanced techniques for video codec optimization /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/5933.

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Xu, Yixiao. "Implementation of P [rho]-domain rate control /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1422976.

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Books on the topic "Sound MPEG (Video coding standard) Video compression"

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Video compression demystified. New York: McGraw-Hill, 2001.

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Peter, Symes, ed. Digital video compression. New York: McGraw-Hill, 2004.

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Ghanbari, M. Standard codecs: Image compression to advanced video coding. 3rd ed. London: Institution of Engineering and Technology, 2011.

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Engineers, Institution of Electrical, ed. Standard codecs: Image compression to advanced video coding. London: Institution of Electrical Engineers, 2003.

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1955-, Vitter Jeffrey Scott, ed. Efficient algorithms for MPEG video compression. New York, N.Y: Wiley, 2002.

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Sebastian, Moeritz, ed. Understanding MPEG-4. Amsterdam: Elsevier, 2005.

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Video compression: Fundamental compression techniques and an overview of the JPEG and MPEG compression systems. New York: McGraw-Hill, 1998.

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The MPEG handbook: MPEG-1, MPEG-2, MPEG-4. 2nd ed. Oxford: Elsevier/Focal Press, 2004.

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Mikaël, Bourges-Sévenier, ed. MPEG-4 jump-start. Upper Saddle River, N.J: Prentice Hall, 2002.

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Richardson, Iain E. G. The H.264 advanced video compression standard. 2nd ed. Hoboken, N.J: Wiley, 2010.

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Book chapters on the topic "Sound MPEG (Video coding standard) Video compression"

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Mitchell, Joan L., William B. Pennebaker, Chad E. Fogg, and Didier J. LeGall. "MPEG Coding Principles." In MPEG Video Compression Standard, 81–103. New York, NY: Springer US, 1996. http://dx.doi.org/10.1007/0-306-46983-9_5.

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Mitchell, Joan L., William B. Pennebaker, Chad E. Fogg, and Didier J. LeGall. "MPEG Coding Principles." In MPEG Video Compression Standard, 81–103. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-4587-7_5.

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Karwowski, Damian. "Improved Adaptive Arithmetic Coding in MPEG-4 AVC/H.264 Video Compression Standard." In Advances in Intelligent and Soft Computing, 257–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23154-4_29.

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Shi, Yun Q., and Huifang Sun. "MPEG-4 Video Standard: Content-Based Video Coding." In Image and Video Compression for Multimedia Engineering, 435–61. CRC Press, 2017. http://dx.doi.org/10.1201/9781420007268-18.

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Shi, Yun-Qing, and Huifang Sun. "MPEG-4 Video Standard: Content-Based Video Coding." In Image and Video Compression for Multimedia Engineering, 475–503. CRC Press, 2019. http://dx.doi.org/10.1201/9781315097954-19.

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"Content-based video coding (MPEG-4)." In Standard Codecs: Image compression to advanced video coding, 295–346. Institution of Engineering and Technology, 2003. http://dx.doi.org/10.1049/pbte049e_ch10.

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"Content-based video coding (MPEG-4 visual)." In Standard Codecs: Image compression to advanced video coding, 283–334. Institution of Engineering and Technology, 2011. http://dx.doi.org/10.1049/pbte054e_ch10.

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"Content description, search and delivery (MPEG-7 and MPEG-21)." In Standard Codecs: Image compression to advanced video coding, 347–68. Institution of Engineering and Technology, 2003. http://dx.doi.org/10.1049/pbte049e_ch11.

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"Content description, search and delivery (MPEG-7 and MPEG-21)." In Standard Codecs: Image compression to advanced video coding, 413–34. Institution of Engineering and Technology, 2011. http://dx.doi.org/10.1049/pbte054e_ch12.

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"Coding of high quality moving pictures (MPEG-2)." In Standard Codecs: Image compression to advanced video coding, 181–226. Institution of Engineering and Technology, 2003. http://dx.doi.org/10.1049/pbte049e_ch8.

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Conference papers on the topic "Sound MPEG (Video coding standard) Video compression"

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Puri, Atul. "Video coding using the MPEG-2 compression standard." In Visual Communications '93, edited by Barry G. Haskell and Hsueh-Ming Hang. SPIE, 1993. http://dx.doi.org/10.1117/12.157930.

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Samelak, Jarosław, Adrian Dziembowski, Dawid Mieloch, Marek Domański, and Maciej Wawrzyniak. "Efficient Immersive Video Compression using Screen Content Coding." In WSCG'2021 - 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2021. Západočeská univerzita, 2021. http://dx.doi.org/10.24132/csrn.2021.3002.22.

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The paper deals with efficient compression of immersive video representations for the synthesis of video relatedto virtual viewports, i.e., to selected virtual viewer positions and selected virtual directions of watching. Thegoal is to obtain possibly high quality of virtual video obtained from compressed representations of immersivevideo acquired from multiple omnidirectional and planar (perspective) cameras, or from computer animation. Inthe paper, we describe a solution based on HEVC (High Efficiency Video Coding) compression and the recentlyproposed MPEG Test Model for Immersive Video. The idea is to use standard-compliant Screen Content Codingtools that were proposed for other applications and have never been used for immersive video compression. Theexperimental results with standard test video sequences are reported for the normalized experimental conditionsdefined by MPEG. In the paper, it is demonstrated that the proposed solution yields up to 20% of bitrate reductionfor the constant quality of virtual video.
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Szekiełda, Jakub, Adrian Dziembowski, and Dawid Mieloch. "The Influence of Coding Tools on Immersive Video Coding." In WSCG'2021 - 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2021. Západočeská univerzita, 2021. http://dx.doi.org/10.24132/csrn.2021.3002.21.

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This paper summarizes the research on the influence of HEVC(High Efficiency Video Coding)configuration on immersive video coding. The research was focused on the newest MPEG standard for immersive video compression –MIV (MPEG Immersive Video). The MIV standard is used as a preprocessing step before the typical video compression thus is agnostic to the video codec. Uncommon characteristics of videos produced by MIV causes, that the typical configuration of the video encoder (optimized for compression of natural sequences) is not optimal for such content. The experimental results prove, that the performance of video compression for immersive video can be significantly increased when selected coding tools are being used.
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Krusevac, Z., and Z. Bojkovic. "Bit allocation and coding gain in MPEG video compression standard for optimum picture ordering." In Proceedings of APCC/OECC'99 - 5th Asia Pacific Conference on Communications/4th Optoelectronics and Communications Conference. IEEE, 1999. http://dx.doi.org/10.1109/apcc.1999.820415.

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