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UT Arlington EE 5359 - MULTIMEDIA PROCESSING PROJECT PROPOSAL

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EE 5359 MULTIMEDIA PROCESSING PROJECT PROPOSAL FIDELITY RANGE EXTENSIONS IN H.264 AND IMPLEMENTATION OF RESIDUAL COLOR TRANSFORM Submitted by POOJA VASANT AGAWANE ID: 1000522697 13th February 2007 UTAFIDELITY RANGE EXTENSIONS IN H.264 AND IMPLEMENTATION OF RESIDUAL COLOR TRANSFORM H.264 is the latest video coding standard developed jointly the Video Coding Experts Group (VCEG) of the ITU-T and the Moving Picture Experts Group (MPEG) of ISO/IEC [1]. The H.264 standard consists of three profiles – Baseline, Main and Extended. To account for the use in most demanding professional environments, additional coding tools were incorporated in the standard. These additions are referred to as Fidelity Range Extensions. The key coding tools introduced are: [2] • Adaptive residual spatial transform, adding a new 8*8 transform • 9 Intra8*8 prediction modes • Entropy-coded transform-bypass lossless macroblocks • Residual color transform for efficient RGB coding • Perceptually weighted quantization scaling matrices The project as a part of Multimedia Processing course proposes to present a detailed review of the coding tools in fidelity range extensions in H.264 and the High profiles of H.264. The scheme for Residual Color transform can be illustrated as follows: [3] The project proposes to present a detailed analysis of the residual color transform in the High 4:4:4 profile of H.264 and implement the residual color transformation in suitable software.REFERENCES: [1] G. Sullivan, P. Topiwala, A. Luthra, “The H.264/AVC Advanced Video Coding Standard: Overview and Introduction to the Fidelity Range Extensions”, SPIE conference, August 2004 [2] Y. Su, Ming Tin Sun, Kim-wei Lin, “Encoder optimization for H.264/AVC Fidelity Range Extension”, Visual communication and Image Processing 2005, SPIE Vol. 5960 [3] JVT – L025 – “Residual Color Transform”, Woo-Shik Kim http://ftp3.itu.ch/av-arch/jvt-site/2004_07_Redmond/JVT-L025.doc [4] A. Puri, A. Luthra, X. Chen, “Video Coding using the H.264/MPEG- 4 AVC compression standard”, Signal Processing: Image Communication 19 (2004) [5] J. Ostermann, J. Bormans et al, “Video Coding with H.264/AVC: Tools, Performance and Complexity”, IEEE circuits and systems magazine, First Quarter 2004 [6] M. Horowitz et al, “H.264/AVC Baseline Profile Decoder”, IEEE transactions on circuits and systems for video technology, Vol. 13, No. 7, July 2003 [7] JVT-K018 – “Adaptive Residue Transform and Sampling”, Woo- Shik Kim http://ftp3.itu.int/av-arch/jvt-site/2004_03_Munich/JVT-K018.doc [8] JVT-L028 – “Additional Experimental results on Residue Sampling”, Woo-Shik Kim http://ftp3.itu.ch/av-arch/jvt-site/2004_07_Redmond/JVT-L028.doc [9] JVT-I013r3 – “YCoCg-R: A Color Space with RGB Reversibility and Low Dynamic Range”, Henrique Malvar and Gary Sullivan [10] JVT-Q059 – “Advanced Residual Color Transform”, Woo-Shik Kim http://ftp3.itu.ch/av-arch/jvt-site/2005_10_Nice/JVT-Q059-L.doc [11] JVT-Q308r2 – “Core Experiment on Residual Color Transform (CE- 8) for 4:4:4 Video”, Hyun Mun Kim [12] Iain E.G. Richardson, “H.264 and MPEG-4 Video Compression”, John Wiley & Sons, September


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UT Arlington EE 5359 - MULTIMEDIA PROCESSING PROJECT PROPOSAL

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