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Автор: Grafiati
Опубліковано: 4 червня 2021
Оновлено: 2 лютого 2022

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Статті в журналах з теми "Image coding standard"

1

Dufaux, Frederic, Gary J. Sullivan, and Touradj Ebrahimi. "The JPEG XR image coding standard [Standards in a Nutshell]." IEEE Signal Processing Magazine 26, no. 6 (November 2009): 195–204. http://dx.doi.org/10.1109/msp.2009.934187.

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2

Li, Ren Chong, Yi Long You, and Feng Xiang You. "Research of Image Processing Based on Lifting Wavelet Transform." Applied Mechanics and Materials 263-266 (December 2012): 2502–9. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2502.

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Анотація:
This paper Study problems which based on lifting wavelet transform image processing. Coding and decoding a complete digital image by using W97-2 wavelet basis wavelet transform, combined with the embedded zerotree wavelet coding and binary arithmetic coding, and complete a lossless compression combined with the international standard test images. Experimental results show that graphics, image processing will come into a higher level because of wavelet analysis combined with image processing.
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3

Götting, Detlef, Achim Ibenthal, and Rolf-Rainer Grigat. "Fractal Image Coding and Magnification Using Invariant Features." Fractals 05, supp01 (April 1997): 65–74. http://dx.doi.org/10.1142/s0218348x97000644.

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Fractal image coding has significant potential for the compression of still and moving images and also for scaling up images. The objective of our investigations was twofold. First, compression ratios of factor 60 and more for still images have been achieved, yielding a better quality of the decoded picture material than standard methods like JPEG. Second, image enlargement up to factors of 16 per dimension has been realized by means of fractal zoom, leading to natural and sharp representation of the scaled image content. Quality improvements were achieved due to the introduction of an extended luminance transform. In order to reduce the computational complexity of the encoding process, a new class of simple and suited invariant features is proposed, facilitating the search in the multidimensional space spanned by image domains and affine transforms.
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4

Tanaka, Midori, Tomoyuki Takanashi, and Takahiko Horiuchi. "Glossiness-aware Image Coding in JPEG Framework." Journal of Imaging Science and Technology 64, no. 5 (September 1, 2020): 50409–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2020.64.5.050409.

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Abstract In images, the representation of glossiness, translucency, and roughness of material objects (Shitsukan) is essential for realistic image reproduction. To date, image coding has been developed considering various indices of the quality of the encoded image, for example, the peak signal-to-noise ratio. Consequently, image coding methods that preserve subjective impressions of qualities such as Shitsukan have not been studied. In this study, the authors focus on the property of glossiness and propose a method of glossiness-aware image coding. Their purpose is to develop an encoding algorithm that produces images that can be decoded by standard JPEG decoders, which are commonly used worldwide. The proposed method consists of three procedures: block classification, glossiness enhancement, and non-glossiness information reduction. In block classification, the types of glossiness in a target image are classified using block units. In glossiness enhancement, the glossiness in each type of block is emphasized to reduce the amount of degradation of glossiness during JPEG encoding. The third procedure, non-glossiness information reduction, further compresses the information while maintaining the glossiness by reducing the information in each block that does not represent the glossiness in the image. To test the effectiveness of the proposed method, the authors conducted a subjective evaluation experiment using paired comparison of images coded by the proposed method and JPEG images with the same data size. The glossiness was found to be better preserved in images coded by the proposed method than in the JPEG images.
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5

Man, Hong, Alen Docef, and Faouzi Kossentini. "Performance Analysis of the JPEG 2000 Image Coding Standard." Multimedia Tools and Applications 26, no. 1 (May 2005): 27–57. http://dx.doi.org/10.1007/s11042-005-6848-5.

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6

Tsang, Sik-Ho, Yui-Lam Chan, and Wei Kuang. "Standard compliant light field lenslet image coding model using enhanced screen content coding framework." Journal of Electronic Imaging 28, no. 05 (October 23, 2019): 1. http://dx.doi.org/10.1117/1.jei.28.5.053027.

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7

Khaitu, Shree Ram, and Sanjeeb Prasad Panday. "Fractal Image Compression Using Canonical Huffman Coding." Journal of the Institute of Engineering 15, no. 1 (February 16, 2020): 91–105. http://dx.doi.org/10.3126/jie.v15i1.27718.

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Анотація:
Image Compression techniques have become a very important subject with the rapid growth of multimedia application. The main motivations behind the image compression are for the efficient and lossless transmission as well as for storage of digital data. Image Compression techniques are of two types; Lossless and Lossy compression techniques. Lossy compression techniques are applied for the natural images as minor loss of the data are acceptable. Entropy encoding is the lossless compression scheme that is independent with particular features of the media as it has its own unique codes and symbols. Huffman coding is an entropy coding approach for efficient transmission of data. This paper highlights the fractal image compression method based on the fractal features and searching and finding the best replacement blocks for the original image. Canonical Huffman coding which provides good fractal compression than arithmetic coding is used in this paper. The result obtained depicts that Canonical Huffman coding based fractal compression technique increases the speed of the compression and has better PNSR as well as better compression ratio than standard Huffman coding.
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8

Noll, Peter, and Davis Pan. "ISO/MPEG Audio Coding." International Journal of High Speed Electronics and Systems 08, no. 01 (March 1997): 69–118. http://dx.doi.org/10.1142/s0129156497000044.

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Анотація:
The Moving Pictures Expert Group within the International Organization of Standardization (ISO/MPEG) has developed, and is presently developing, a series of audiovisual standards. Its audio coding standard MPEG Phase 1 is the first international standard in the field of high quality digital audio compression and has been applied in many areas, both for consumer and professional audio. Typical application areas for digital audio are in the fields of audio production, program distribution and exchange, digital sound broadcasting, digital storage, and various multimedia applications. This paper will describe in some detail the main features of MPEG Phase 1 coders. As a logical further step in digital audio a multichannel audio standard MPEG Phase 2 is being standardized to provide an improved stereophonic image for audio-only applications including teleconferencing and for improved television systems. The status of this standardization process will be covered briefly.
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9

ZHANG, YAN, and HAI-MING GU. "CONTOUR BASED MULTI-ROI MULTI-QUALITY ROI CODING FOR STILL IMAGE." International Journal of Pattern Recognition and Artificial Intelligence 25, no. 01 (February 2011): 135–45. http://dx.doi.org/10.1142/s0218001411008488.

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Region-of-interest (ROI) image coding is one of the new features included in the JPEG2000 image coding standard. Two methods are defined in the standard: the Maxshift method and the generic scaling based method. In this paper, a new region-of-interest coding method called Contour-based Multi-ROI Multi-quality Image Coding (CMM) is proposed. Unlike other existing methods, the CMM method takes the contour and texture of the whole image as a special ROI, which makes the visually most important parts (in both ROI and Background) to be coded first. Experimental results indicate that the proposed method significantly outperforms the previous ROI coding schemes in the overall ROI coding performance.
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10

Hussain, Ikram, Oh-Jin Kwon, and Seungcheol Choi. "Evaluating the Coding Performance of 360° Image Projection Formats Using Objective Quality Metrics." Symmetry 13, no. 1 (January 5, 2021): 80. http://dx.doi.org/10.3390/sym13010080.

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Recently, 360° content has emerged as a new method for offering real-life interaction. Ultra-high resolution 360° content is mapped to the two-dimensional plane to adjust to the input of existing generic coding standards for transmission. Many formats have been proposed, and tremendous work is being done to investigate 360° videos in the Joint Video Exploration Team using projection-based coding. However, the standardization activities for quality assessment of 360° images are limited. In this study, we evaluate the coding performance of various projection formats, including recently-proposed formats adapting to the input of JPEG and JPEG 2000 content. We present an overview of the nine state-of-the-art formats considered in the evaluation. We also propose an evaluation framework for reducing the bias toward the native equi-rectangular (ERP) format. We consider the downsampled ERP image as the ground truth image. Firstly, format conversions are applied to the ERP image. Secondly, each converted image is subjected to the JPEG and JPEG 2000 image coding standards, then decoded and converted back to the downsampled ERP to find the coding gain of each format. The quality metrics designed for 360° content and conventional 2D metrics have been used for both end-to-end distortion measurement and codec level, in two subsampling modes, i.e., YUV (4:2:0 and 4:4:4). Our evaluation results prove that the hybrid equi-angular format and equatorial cylindrical format achieve better coding performance among the compared formats. Our work presents evidence to find the coding gain of these formats over ERP, which is useful for identifying the best image format for a future standard.
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Дисертації з теми "Image coding standard"

1

Pao, I.-Ming. "Improved standard-conforming video coding techniques /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/5936.

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2

Yeung, Yick Ming. "Fast rate control for JPEG2000 image coding /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202003%20YEUNG.

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Анотація:
Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003.
Includes bibliographical references (leaves 63-65). Also available in electronic version. Access restricted to campus users.
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3

Xin, Jun. "Improved standard-conforming video transcoding techniques /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/5871.

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4

Giakoumakis, Michail D. "Refinements in a DCT based non-uniform embedding watermarking scheme." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Mar%5FGiakoumakis.pdf.

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Анотація:
Thesis (M.S. in Applied Math and M.S. in Systems Engineering)--Naval Postgraduate School, March 2003.
Thesis advisor(s): Roberto Cristi, Ron Pieper, Craig Rasmussen. Includes bibliographical references (p. 119-121). Also available online.
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5

Kamaras, Konstantinos. "JPEG2000 image compression and error resilience for transmission over wireless channels." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://sirsi.nps.navy.mil/uhtbin/hyperion-image/02Mar%5FKamaras.pdf.

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6

Thorpe, Christopher. "Compression aided feature based steganalysis of perturbed quantization steganography in JPEG images." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 114 p, 2008. http://proquest.umi.com/pqdweb?did=1459914021&sid=6&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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7

Gupta, Amit Kumar Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Hardware optimization of JPEG2000." Awarded by:University of New South Wales. School of Electrical Engineering and Telecommunications, 2006. http://handle.unsw.edu.au/1959.4/30581.

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Анотація:
The Key algorithms of JPEG2000, the new image compression standard, have high computational complexity and thus present challenges for efficient implementation. This has led to research on the hardware optimization of JPEG2000 for its efficient realization. Luckily, in the last century the growth in Microelectronics allows us to realize dedicated ASIC solutions as well as hardware/software FPGA based solutions for complex algorithms such as JPEG2000. But an efficient implementation within hard constraints of area and throughput, demands investigations of key dependencies within the JPEG2000 system. This work presents algorithms and VLSI architectures to realize a high performance JPEG2000 compression system. The embedded block coding algorithm which lies at the heart of a JPEG2000 compression system is a main contributor to enhanced JPEG2000 complexity. This work first concentrates on algorithms to realize low-cost high throughput Block Coder (BC) system. For this purpose concurrent symbol processing capable Bit Plane Coder architecture is presented. Further optimal 2 sub-bank memory and an efficient buffer architectures are designed to keep the hardware cost low. The proposed overall BC system presents the highest Figure Of Merit (FOM) in terms of throughput versus hardware cost in comparison to existing BC solutions. Further, this work also investigates the challenges involved in the efficient integration of the BC with the overall JPEG2000 system. A novel low-cost distortion estimation approach with near-optimal performance is proposed which is necessary for accurate rate-control performance of JPEG2000. Additionally low bandwidth data storage and transfer techniques are proposed for efficient transfer of subband samples to the BC. Simulation results show that the proposed techniques have approximately 4 times less bandwidth than existing architectures. In addition, an efficient high throughput block decoder architecture based on the proposed selective sample-skipping algorithm is presented. The proposed architectures are designed and analyzed on both ASIC and FPGA platforms. Thus, the proposed algorithms, architectures and efficient BC integration strategies are useful for realizing a dedicated ASIC JPEG2000 system as well as a hardware/software FPGA based JPEG2000 solution. Overall this work presents algorithms and architectures to realize a high performance JPEG2000 system without imposing any restrictions in terms of coding modes or block size for the BC system.
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8

Abraham, Arun S. "Bandwidth-aware video transmission with adaptive image scaling." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0001221.

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Gatica, Perez Daniel. "Extensive operators in lattices of partitions for digital video analysis /." Thesis, Connect to this title online; UW restricted, 2001. http://hdl.handle.net/1773/5874.

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Uehara, Takeyuki. "Contributions to image encryption and authentication." Access electronically, 2003. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20040920.124409/index.html.

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Книги з теми "Image coding standard"

1

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

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2

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

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3

Acharya, Tinku. JPEG2000 Standard for Image Compression. New York: John Wiley & Sons, Ltd., 2005.

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4

L, Mitchell Joan, ed. JPEG still image data compression standard. New York: Van Nostrand Reinhold, 1992.

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5

Acharya, Tinku. JPEG2000 standard for image compression: Concepts, algorithms and VLSI architectures. Hoboken, N.J: Wiley-Interscience, 2005.

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6

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

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7

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

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8

Kōkōritsu eizō fugōka gijutsu HEVC/H.265 to sono ōyō: High efficiency video coding. Tōkyō-to Chiyoda-ku: Ōmusha, 2013.

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9

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

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10

W, Marcellin Michael, ed. JPEG2000: Image compression fundamentals, standards, and practice. Boston: Kluwer Academic Publishers, 2002.

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Частини книг з теми "Image coding standard"

1

Man, Hong, Alen Docef, and Faouzi Kossentini. "JPEG 2000 Image Coding Standard." In Encyclopedia of Multimedia, 379–86. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_99.

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2

Bhaskaran, Vasudev, and Konstantinos Konstantinides. "The H.261 Video Coding Standard." In Image and Video Compression Standards, 195–206. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-2358-8_7.

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3

Girod, Bernd, and Niko Färber. "Error-Resilient Standard-Compliant Video Coding." In Signal Recovery Techniques for Image and Video Compression and Transmission, 175–97. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-6514-4_6.

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4

Huang, Xinpeng, Ping An, Liquan Shen, and Kai Li. "Light Field Image Compression Scheme Based on MVD Coding Standard." In Advances in Multimedia Information Processing – PCM 2017, 79–88. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77380-3_8.

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5

Lee, Chang-Hsing, Cheng-Chang Lien, Jau-Ling Shih, and Ping-Yu Lin. "A Fast Macroblock Mode Decision Algorithm for the Baseline Profile in the H.264 Video Coding Standard." In Advances in Image and Video Technology, 784–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92957-4_68.

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6

Shan, Ying-ying, and Xuan Wang. "A Low Computational Complexity Multiple Description Image Coding Algorithm Based on JPEG Standard." In Novel Algorithms and Techniques in Telecommunications and Networking, 173–76. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3662-9_29.

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Bangun, P. R., N. Surbakti, A. B. Suksmono, and T. L. R. Mengko. "The Implementation of Wavelet-based Medical Image Compression Using JPEG2000 Image Coding Standard on a Grid Computing Scheme Utilizing Condor Distributed Batch System." In IFMBE Proceedings, 570–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69139-6_143.

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Bhaskaran, Vasudev, and Konstantinos Konstantinides. "Hardware for Entropy Coding." In Image and Video Compression Standards, 249–61. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-2358-8_12.

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Bhaskaran, Vasudev, and Konstantinos Konstantinides. "Hardware for Entropy Coding." In Image and Video Compression Standards, 303–19. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6199-6_12.

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Rosário Lucas, Luís Filipe, Eduardo Antônio Barros da Silva, Sérgio Manuel Maciel de Faria, Nuno Miguel Morais Rodrigues, and Carla Liberal Pagliari. "Image and Video Coding Standards." In Efficient Predictive Algorithms for Image Compression, 35–64. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51180-1_3.

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Тези доповідей конференцій з теми "Image coding standard"

1

Richter, Thomas. "Perceptual image coding by standard-constraint codecs." In 2009 Picture Coding Symposium (PCS). IEEE, 2009. http://dx.doi.org/10.1109/pcs.2009.5167386.

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Wang, Jing, Xiaofeng Wang, Tianying Ji, and Dake He. "Transform coefficient coding design for AVS2 video coding standard." In 2013 Visual Communications and Image Processing (VCIP). IEEE, 2013. http://dx.doi.org/10.1109/vcip.2013.6706447.

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Choi, Kiho, Min Woo Park, Kwang Pyo Choi, Jeonghoon Park, Jianle Chen, Ye-Kui Wang, Roman Chernyak, et al. "MPEG-5: essential video coding standard." In Applications of Digital Image Processing XLII, edited by Andrew G. Tescher and Touradj Ebrahimi. SPIE, 2019. http://dx.doi.org/10.1117/12.2530429.

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Bross, Benjamin, Tung Nguyen, Heiko Schwarz, Detlev Marpe, and Thomas Wiegand. "Transform skip residual coding for the versatile video coding standard." In Applications of Digital Image Processing XLII, edited by Andrew G. Tescher and Touradj Ebrahimi. SPIE, 2019. http://dx.doi.org/10.1117/12.2530554.

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Zhang, Ximin, Shan Liu, and Shawmin Lei. "Intra mode coding in HEVC standard." In 2012 Visual Communications and Image Processing (VCIP). IEEE, 2012. http://dx.doi.org/10.1109/vcip.2012.6410750.

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Li, Dianfu, Lu Yu, and Jie Dong. "A decoder architecture for advanced video coding standard." In Visual Communications and Image Processing 2005. SPIE, 2005. http://dx.doi.org/10.1117/12.633201.

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Ma, Siwei, Shiqi Wang, and Wen Gao. "Overview of IEEE 1857 video coding standard." In 2013 20th IEEE International Conference on Image Processing (ICIP). IEEE, 2013. http://dx.doi.org/10.1109/icip.2013.6738308.

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Tsang, Sik-Ho, Yui-Lam Chan, and Wei Kuang. "Standard-Compliant HEVC Screen Content Coding for Raw Light Field Image Coding." In 2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS). IEEE, 2019. http://dx.doi.org/10.1109/icspcs47537.2019.9008587.

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Taubman, David, Aous Naman, and Reji Mathew. "High Throughput Block Coding in the HTJ2K Compression Standard." In 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019. http://dx.doi.org/10.1109/icip.2019.8803774.

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Schwarz, Heiko, Tung Nguyen, Detlev Marpe, Thomas Wiegand, Marta Karczewicz, Muhammed Coban, and Jie Dong. "Improved Quantization and Transform Coefficient Coding for the Emerging Versatile Video Coding (VVC) Standard." In 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019. http://dx.doi.org/10.1109/icip.2019.8803768.

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Звіти організацій з теми "Image coding standard"

1

DiGrande, Laura, Sue Pedrazzani, Elizabeth Kinyara, Melanie Hymes, Shawn Karns, Donna Rhodes, and Alanna Moshfegh. Field Interviewer– Administered Dietary Recalls in Participants’ Homes: A Feasibility Study Using the US Department of Agriculture’s Automated Multiple-Pass Method. RTI Press, May 2021. http://dx.doi.org/10.3768/rtipress.2021.mr.0045.2105.

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Анотація:
Objective: The purpose of this study was to assess the feasibility of administering the Automated Multiple-Pass Method (AMPM), a widely used tool for collecting 24-hour dietary recalls, in participants’ homes by field interviewers. Design: The design included computer-assisted personal interviews led by either a nutritionist (standard) or field interviewer. Portion estimators tested were a set of three-dimensional food models (standard), a two-dimensional food model booklet, or a tablet with digital images rendered via augmented reality. Setting: Residences in central North Carolina. Participants: English-speaking adults. Pregnant women and individuals who were fasting were excluded. Results: Among 133 interviews, most took place in living rooms (52%) or kitchens (22%). Mean interview time was 40 minutes (range 13–90), with no difference by interviewer type or portion estimator, although timing for nutritionist-led interviews declined significantly over the study period. Forty-five percent of participants referenced items from their homes to facilitate recall and portion estimation. Data entry and post-interview coding was evaluated and determined to be consistent with requirements for the National Health and Nutrition Examination Survey. Values for the number of food items consumed, food groups, energy intake (average of 3,011 kcal for men and 2,105 kcal for women), and key nutrients were determined to be plausible and within reasonably expected ranges regardless of interviewer type or portion estimator used. Conclusions: AMPM dietary recall interviews conducted in the home are feasible and may be preferable to clinical administration because of comfort and the opportunity for participants to access home items for recall. AMPMs administered by field interviewers using the food model booklet produced credible nutrition data that was comparable to AMPMs administered by nutritionists. Training field interviewers in dietary recall and conducting home interviews may be sensible choices for nutrition studies when response rates and cost are concerns.
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