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Autres articles (98)
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MediaSPIP 0.1 Beta version
25 avril 2011, parMediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
The zip file provided here only contains the sources of MediaSPIP in its standalone version.
To get a working installation, you must manually install all-software dependencies on the server.
If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...) -
Supporting all media types
13 avril 2011, parUnlike most software and media-sharing platforms, MediaSPIP aims to manage as many different media types as possible. The following are just a few examples from an ever-expanding list of supported formats : images : png, gif, jpg, bmp and more audio : MP3, Ogg, Wav and more video : AVI, MP4, OGV, mpg, mov, wmv and more text, code and other data : OpenOffice, Microsoft Office (Word, PowerPoint, Excel), web (html, CSS), LaTeX, Google Earth and (...)
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HTML5 audio and video support
13 avril 2011, parMediaSPIP uses HTML5 video and audio tags to play multimedia files, taking advantage of the latest W3C innovations supported by modern browsers.
The MediaSPIP player used has been created specifically for MediaSPIP and can be easily adapted to fit in with a specific theme.
For older browsers the Flowplayer flash fallback is used.
MediaSPIP allows for media playback on major mobile platforms with the above (...)
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avcodec/dvbsubdec : support returning exact end times
22 juin 2014, par Anshul Maheshwari -
Should H.264 bit rate be multiples of 8 ?
31 août 2016, par Dan SharpI’m working on a video platform receiving H.264 video and building an HLS stream (transmuxing the H.264 to Mpeg2 TS segments via calls to ffmpeg).
I wanted to set the bit rate to be about 2000 kbps, but I’m wondering : does it matter if it’s 2000 or 2048 ?
In other words, do things calculate better if the bit rate is multiples of 8, like 512 or 2024 or 2048 ?
I don’t know enough about how the bit rate is used, either on the sending side (camera) or on the processing side (ffmpeg).
From tests... I can’t see any noticeable difference between 2000 and 2048, but maybe one is slightly better than another for the transmuxing and segmenting ?
I welcome any thoughts/advice.
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swscale/x86/input.asm : add x86-optimized planer rgb2yuv functions
24 novembre 2021, par Mark Reidswscale/x86/input.asm : add x86-optimized planer rgb2yuv functions
sse2 only operates on 2 lanes per loop for to_y and to_uv functions, due
to the lack of pmulld instruction. Emulating pmulld with 2 pmuludq and shuffles
proved too costly and made to_uv functions slower then the c implementation.For to_y on sse2 only float functions are generated,
I was are not able outperform the c implementation on the integer pixel formats.For to_a on see4 only the float functions are generated.
sse2 and sse4 generated nearly identical performing code on integer pixel formats,
so only sse2/avx2 versions are generated.planar_gbrp_to_y_512_c : 1197.5
planar_gbrp_to_y_512_sse4 : 444.5
planar_gbrp_to_y_512_avx2 : 287.5
planar_gbrap_to_y_512_c : 1204.5
planar_gbrap_to_y_512_sse4 : 447.5
planar_gbrap_to_y_512_avx2 : 289.5
planar_gbrp9be_to_y_512_c : 1380.0
planar_gbrp9be_to_y_512_sse4 : 543.5
planar_gbrp9be_to_y_512_avx2 : 340.0
planar_gbrp9le_to_y_512_c : 1200.5
planar_gbrp9le_to_y_512_sse4 : 442.0
planar_gbrp9le_to_y_512_avx2 : 282.0
planar_gbrp10be_to_y_512_c : 1378.5
planar_gbrp10be_to_y_512_sse4 : 544.0
planar_gbrp10be_to_y_512_avx2 : 337.5
planar_gbrp10le_to_y_512_c : 1200.0
planar_gbrp10le_to_y_512_sse4 : 448.0
planar_gbrp10le_to_y_512_avx2 : 285.5
planar_gbrap10be_to_y_512_c : 1380.0
planar_gbrap10be_to_y_512_sse4 : 542.0
planar_gbrap10be_to_y_512_avx2 : 340.5
planar_gbrap10le_to_y_512_c : 1199.0
planar_gbrap10le_to_y_512_sse4 : 446.0
planar_gbrap10le_to_y_512_avx2 : 289.5
planar_gbrp12be_to_y_512_c : 10563.0
planar_gbrp12be_to_y_512_sse4 : 542.5
planar_gbrp12be_to_y_512_avx2 : 339.0
planar_gbrp12le_to_y_512_c : 1201.0
planar_gbrp12le_to_y_512_sse4 : 440.5
planar_gbrp12le_to_y_512_avx2 : 286.0
planar_gbrap12be_to_y_512_c : 1701.5
planar_gbrap12be_to_y_512_sse4 : 917.0
planar_gbrap12be_to_y_512_avx2 : 338.5
planar_gbrap12le_to_y_512_c : 1201.0
planar_gbrap12le_to_y_512_sse4 : 444.5
planar_gbrap12le_to_y_512_avx2 : 288.0
planar_gbrp14be_to_y_512_c : 1370.5
planar_gbrp14be_to_y_512_sse4 : 545.0
planar_gbrp14be_to_y_512_avx2 : 338.5
planar_gbrp14le_to_y_512_c : 1199.0
planar_gbrp14le_to_y_512_sse4 : 444.0
planar_gbrp14le_to_y_512_avx2 : 279.5
planar_gbrp16be_to_y_512_c : 1364.0
planar_gbrp16be_to_y_512_sse4 : 544.5
planar_gbrp16be_to_y_512_avx2 : 339.5
planar_gbrp16le_to_y_512_c : 1201.0
planar_gbrp16le_to_y_512_sse4 : 445.5
planar_gbrp16le_to_y_512_avx2 : 280.5
planar_gbrap16be_to_y_512_c : 1377.0
planar_gbrap16be_to_y_512_sse4 : 545.0
planar_gbrap16be_to_y_512_avx2 : 338.5
planar_gbrap16le_to_y_512_c : 1201.0
planar_gbrap16le_to_y_512_sse4 : 442.0
planar_gbrap16le_to_y_512_avx2 : 279.0
planar_gbrpf32be_to_y_512_c : 4113.0
planar_gbrpf32be_to_y_512_sse2 : 2438.0
planar_gbrpf32be_to_y_512_sse4 : 1068.0
planar_gbrpf32be_to_y_512_avx2 : 904.5
planar_gbrpf32le_to_y_512_c : 3818.5
planar_gbrpf32le_to_y_512_sse2 : 2024.5
planar_gbrpf32le_to_y_512_sse4 : 1241.5
planar_gbrpf32le_to_y_512_avx2 : 657.0
planar_gbrapf32be_to_y_512_c : 3707.0
planar_gbrapf32be_to_y_512_sse2 : 2444.0
planar_gbrapf32be_to_y_512_sse4 : 1077.0
planar_gbrapf32be_to_y_512_avx2 : 909.0
planar_gbrapf32le_to_y_512_c : 3822.0
planar_gbrapf32le_to_y_512_sse2 : 2024.5
planar_gbrapf32le_to_y_512_sse4 : 1176.0
planar_gbrapf32le_to_y_512_avx2 : 658.5planar_gbrp_to_uv_512_c : 2325.8
planar_gbrp_to_uv_512_sse2 : 1726.8
planar_gbrp_to_uv_512_sse4 : 771.8
planar_gbrp_to_uv_512_avx2 : 506.8
planar_gbrap_to_uv_512_c : 2281.8
planar_gbrap_to_uv_512_sse2 : 1726.3
planar_gbrap_to_uv_512_sse4 : 768.3
planar_gbrap_to_uv_512_avx2 : 496.3
planar_gbrp9be_to_uv_512_c : 2336.8
planar_gbrp9be_to_uv_512_sse2 : 1924.8
planar_gbrp9be_to_uv_512_sse4 : 852.3
planar_gbrp9be_to_uv_512_avx2 : 552.8
planar_gbrp9le_to_uv_512_c : 2270.3
planar_gbrp9le_to_uv_512_sse2 : 1512.3
planar_gbrp9le_to_uv_512_sse4 : 764.3
planar_gbrp9le_to_uv_512_avx2 : 491.3
planar_gbrp10be_to_uv_512_c : 2281.8
planar_gbrp10be_to_uv_512_sse2 : 1917.8
planar_gbrp10be_to_uv_512_sse4 : 855.3
planar_gbrp10be_to_uv_512_avx2 : 541.3
planar_gbrp10le_to_uv_512_c : 2269.8
planar_gbrp10le_to_uv_512_sse2 : 1515.3
planar_gbrp10le_to_uv_512_sse4 : 759.8
planar_gbrp10le_to_uv_512_avx2 : 487.8
planar_gbrap10be_to_uv_512_c : 2382.3
planar_gbrap10be_to_uv_512_sse2 : 1924.8
planar_gbrap10be_to_uv_512_sse4 : 855.3
planar_gbrap10be_to_uv_512_avx2 : 540.8
planar_gbrap10le_to_uv_512_c : 2382.3
planar_gbrap10le_to_uv_512_sse2 : 1512.3
planar_gbrap10le_to_uv_512_sse4 : 759.3
planar_gbrap10le_to_uv_512_avx2 : 484.8
planar_gbrp12be_to_uv_512_c : 2283.8
planar_gbrp12be_to_uv_512_sse2 : 1936.8
planar_gbrp12be_to_uv_512_sse4 : 858.3
planar_gbrp12be_to_uv_512_avx2 : 541.3
planar_gbrp12le_to_uv_512_c : 2278.8
planar_gbrp12le_to_uv_512_sse2 : 1507.3
planar_gbrp12le_to_uv_512_sse4 : 760.3
planar_gbrp12le_to_uv_512_avx2 : 485.8
planar_gbrap12be_to_uv_512_c : 2385.3
planar_gbrap12be_to_uv_512_sse2 : 1927.8
planar_gbrap12be_to_uv_512_sse4 : 855.3
planar_gbrap12be_to_uv_512_avx2 : 539.8
planar_gbrap12le_to_uv_512_c : 2377.3
planar_gbrap12le_to_uv_512_sse2 : 1516.3
planar_gbrap12le_to_uv_512_sse4 : 759.3
planar_gbrap12le_to_uv_512_avx2 : 484.8
planar_gbrp14be_to_uv_512_c : 2283.8
planar_gbrp14be_to_uv_512_sse2 : 1935.3
planar_gbrp14be_to_uv_512_sse4 : 852.3
planar_gbrp14be_to_uv_512_avx2 : 540.3
planar_gbrp14le_to_uv_512_c : 2276.8
planar_gbrp14le_to_uv_512_sse2 : 1514.8
planar_gbrp14le_to_uv_512_sse4 : 762.3
planar_gbrp14le_to_uv_512_avx2 : 484.8
planar_gbrp16be_to_uv_512_c : 2383.3
planar_gbrp16be_to_uv_512_sse2 : 1881.8
planar_gbrp16be_to_uv_512_sse4 : 852.3
planar_gbrp16be_to_uv_512_avx2 : 541.8
planar_gbrp16le_to_uv_512_c : 2378.3
planar_gbrp16le_to_uv_512_sse2 : 1476.8
planar_gbrp16le_to_uv_512_sse4 : 765.3
planar_gbrp16le_to_uv_512_avx2 : 485.8
planar_gbrap16be_to_uv_512_c : 2382.3
planar_gbrap16be_to_uv_512_sse2 : 1886.3
planar_gbrap16be_to_uv_512_sse4 : 853.8
planar_gbrap16be_to_uv_512_avx2 : 550.8
planar_gbrap16le_to_uv_512_c : 2381.8
planar_gbrap16le_to_uv_512_sse2 : 1488.3
planar_gbrap16le_to_uv_512_sse4 : 765.3
planar_gbrap16le_to_uv_512_avx2 : 491.8
planar_gbrpf32be_to_uv_512_c : 4863.0
planar_gbrpf32be_to_uv_512_sse2 : 3347.5
planar_gbrpf32be_to_uv_512_sse4 : 1800.0
planar_gbrpf32be_to_uv_512_avx2 : 1199.0
planar_gbrpf32le_to_uv_512_c : 4725.0
planar_gbrpf32le_to_uv_512_sse2 : 2753.0
planar_gbrpf32le_to_uv_512_sse4 : 1474.5
planar_gbrpf32le_to_uv_512_avx2 : 927.5
planar_gbrapf32be_to_uv_512_c : 4859.0
planar_gbrapf32be_to_uv_512_sse2 : 3269.0
planar_gbrapf32be_to_uv_512_sse4 : 1802.0
planar_gbrapf32be_to_uv_512_avx2 : 1201.5
planar_gbrapf32le_to_uv_512_c : 6338.0
planar_gbrapf32le_to_uv_512_sse2 : 2756.5
planar_gbrapf32le_to_uv_512_sse4 : 1476.0
planar_gbrapf32le_to_uv_512_avx2 : 908.5planar_gbrap_to_a_512_c : 383.3
planar_gbrap_to_a_512_sse2 : 66.8
planar_gbrap_to_a_512_avx2 : 43.8
planar_gbrap10be_to_a_512_c : 601.8
planar_gbrap10be_to_a_512_sse2 : 86.3
planar_gbrap10be_to_a_512_avx2 : 34.8
planar_gbrap10le_to_a_512_c : 602.3
planar_gbrap10le_to_a_512_sse2 : 48.8
planar_gbrap10le_to_a_512_avx2 : 31.3
planar_gbrap12be_to_a_512_c : 601.8
planar_gbrap12be_to_a_512_sse2 : 111.8
planar_gbrap12be_to_a_512_avx2 : 41.3
planar_gbrap12le_to_a_512_c : 385.8
planar_gbrap12le_to_a_512_sse2 : 75.3
planar_gbrap12le_to_a_512_avx2 : 39.8
planar_gbrap16be_to_a_512_c : 386.8
planar_gbrap16be_to_a_512_sse2 : 79.8
planar_gbrap16be_to_a_512_avx2 : 31.3
planar_gbrap16le_to_a_512_c : 600.3
planar_gbrap16le_to_a_512_sse2 : 40.3
planar_gbrap16le_to_a_512_avx2 : 30.3
planar_gbrapf32be_to_a_512_c : 1148.8
planar_gbrapf32be_to_a_512_sse2 : 611.3
planar_gbrapf32be_to_a_512_sse4 : 234.8
planar_gbrapf32be_to_a_512_avx2 : 183.3
planar_gbrapf32le_to_a_512_c : 851.3
planar_gbrapf32le_to_a_512_sse2 : 263.3
planar_gbrapf32le_to_a_512_sse4 : 199.3
planar_gbrapf32le_to_a_512_avx2 : 156.8Reviewed-by : Paul B Mahol <onemda@gmail.com>
Signed-off-by : James Almer <jamrial@gmail.com>