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UT Arlington EE 5359 - Project Proposal Multimedia Processing

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Performance Analysis and Comparison of JM, Intel IPP and X264 for H.264 SoftwaresGoalWhy H.264 ?Profiles of H.264[3]H.264 encoder block diagram [3]H.264 decoder diagram[3]JM Software (17.2) [6]X264 [5]Intel IPP [8]AnalysisReferencesSlide 12Slide 13Slide 14By:Santosh Kumar Muniyappa (1000661813)Guided by: Dr. K. R. RaoProject Proposal Multimedia Processing (EE 5359)Many H.264 softwares like JM[6], Intel IPP[8], X264[5], FFMpeg [9]The goal of this project is to carry out a performance analysis of the H.264 softwares like JM software, Intel IPP and X264.JM software used here is version 17.2Video coding standard jointly developed by ITU-T Video Coding Experts Group (VCEG) and the ISO/IEC Moving Picture Experts Group (MPEG).Most widely accepted video standardBlu-ray discs, videos from YouTube and iTunes store, Adobe Flash Player, Microsoft silverlight, Outperforms all existing standards by a factor of twoPublic and open standardSupports both planar and interleaved/packed raw image data (viz., yuv, rgb)Input configuration file (*.cfg)Input fileNumber of frames to be encodedFrame rateOutput frame width and HeightProfile, level selectionGOP sizeBit rate controlSupports raw video data (yuv4mpeg or y4m only 4:2:0)Output file format .264, .mkv, mp4Have to provide the inputs through the command promptProfileRate controlGOP sizeQuantization parameterFrame rateon an average, x264 performs 50x faster when compared to JM [7]The encoder assumes that input videodata object contains frame in YUV420 formatEncoder does not support frame resizing. Thus input and output frame sizes should be the same.Supports only main and high profiles.Input file is h264.parSource fileNumber of frames to encodeFrame rateA detailed analysis on different profiles and bit rates using CIF, QCIF, SDTV and HDTV video test sequences will be done Performance Comparison:Encoding and decoding time (seconds)Compression ratioMean squared errorPeak to peak signal to noise ratioStructural similarity index metric [12]1. I. E. Richardson, “The H.264 advance video compression standard”, 2nd Edition. Wiley 2010.2. T. Wiegand, et al “Overview of the H.264/AVC video coding standard”, IEEE Trans. on circuits and systems for video technology, vol. 13, pp. 560-576, July 20033. D. Marpe, T. Wiegand and G. J. Sullivan, “The H.264/MPEG-4 AVC standard and its applications”, IEEE Communications Magazine, vol. 44, pp. 134-143, Aug. 2006.4. G. Sullivan, et al “The H.264/AVC Advanced Video Coding Standard: Overview and Introduction to the Fidelity Range Extensions”. Presented at the SPIE Conference on Applications of Digital Image Processing XXVII, Special Session on Advances in the New Emerging Standard: H.264/AVC, Vol. 5558, pp. 53.5. GIT repository of X264 - http://git.videolan.org/?p=x264.git;a=summary 6. JM software – http://iphome.hhi.de/suehring/tml/7. L. Merritt et al., “X264: A High Performance H.264/AVC Encoder”.8. Intel IPP - http://software.intel.com/en-us/articles/intel-integrated-performance-primitives-code-samples/9. FFmpeg software - http://www.ffmpeg.org/10. Intel IPP Overview - http://software.intel.com/en-us/intel-ipp/11. Swaroop, K.V.S. and Rao, KR, “Performance Analysis and Comparison of JM 15.1 and Intel IPP H.264 Encoder and Decoder”, IEEE 2010 42nd Southeastern Symposium on System Theory (SSST), pp. 371-375.12. Z. Wang, A. C. Bovik, H. R. Sheikh and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity," IEEE Transactions on Image Processing, vol. 13, no. 4, pp. 600-612, Apr. 2004.13. Tudor, PN, “MPEG-2 video compression”, Electronics \& communication engineering journal, vol. 7, pp. 257-264, 2005Thank you


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UT Arlington EE 5359 - Project Proposal Multimedia Processing

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