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    25 avril 2011, par

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  • Emballe médias : à quoi cela sert ?

    4 février 2011, par

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    13 avril 2011, par

    MediaSPIP uses HTML5 video and audio tags to play multimedia files, taking advantage of the latest W3C innovations supported by modern browsers.
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  • swresample/resample : speed up build_filter by 50%

    4 novembre 2015, par Ganesh Ajjanagadde
    swresample/resample : speed up build_filter by 50%
    

    This speeds up build_filter by 50%. This gain should be pretty
    consistent across all architectures and platforms.

    Essentially, this relies on a observation that the filters have some
    even/odd symmetry that may be exploited during the construction of the
    polyphase filter bank. In particular, phases (scaled to [0, 1]) in [0.5, 1] are
    easily derived from [0, 0.5] and expensive reevaluation of function
    points are unnecessary. This requires some rather annoying even/odd
    bookkeeping as can be seen from the patch.

    I vaguely recall from signal processing theory more general symmetries allowing even greater
    optimization of the construction. At a high level, "even functions"
    correspond to 2, and one can imagine variations. Nevertheless, for the sake
    of some generality and because of existing filters, this is all that is
    being exploited.

    Currently, this patch relies on phase_count being even or (trivially) 1,
    though this is not an inherent limitation to the approach. This
    assumption is safe as phase_count is 1 << phase_bits, and is hence a
    power of two. There is no way for user API to set it to a nontrivial odd
    number. This assumption has been placed as an assert in the code.

    To repeat, this assumes even symmetry of the filters, which is the most common
    way to get generalized linear phase anyway and is true of all currently
    supported filters.

    As a side note, accuracy should be identical or perhaps slightly better
    due to this "forcing" filter symmetries leading to a better phase
    characteristic. As before, I can’t test this claim easily, though it may
    be of interest.

    Patch tested with FATE.

    Sample benchmark (x86-64, Haswell, GNU/Linux) :

    test : swr-resample-dblp-44100-2626

    new :
    527376779 decicycles in build_filter(loop 1000), 256 runs, 0 skips
    524361765 decicycles in build_filter(loop 1000), 512 runs, 0 skips
    516552574 decicycles in build_filter(loop 1000), 1024 runs, 0 skips

    old :
    974178658 decicycles in build_filter(loop 1000), 256 runs, 0 skips
    972794408 decicycles in build_filter(loop 1000), 512 runs, 0 skips
    954350046 decicycles in build_filter(loop 1000), 1024 runs, 0 skips

    Note that lower level optimizations are entirely possible, I focussed on
    getting the high level semantics correct. In any case, this should
    provide a good foundation.

    Reviewed-by : Michael Niedermayer <michael@niedermayer.cc>
    Signed-off-by : Ganesh Ajjanagadde <gajjanagadde@gmail.com>

    • [DH] libswresample/resample.c
  • swresample/resample : speed up build_filter for Blackman-Nuttall filter

    5 novembre 2015, par Ganesh Ajjanagadde
    swresample/resample : speed up build_filter for Blackman-Nuttall filter
    

    This uses the trigonometric double and triple angle formulae to avoid
    repeated (expensive) evaluation of libc’s cos().

    Sample benchmark (x86-64, Haswell, GNU/Linux)
    test : fate-swr-resample-dblp-44100-2626
    old :
    1104466600 decicycles in build_filter(loop 1000), 256 runs, 0 skips
    1096765286 decicycles in build_filter(loop 1000), 512 runs, 0 skips
    1070479590 decicycles in build_filter(loop 1000), 1024 runs, 0 skips

    new :
    588861423 decicycles in build_filter(loop 1000), 256 runs, 0 skips
    591262754 decicycles in build_filter(loop 1000), 512 runs, 0 skips
    577355145 decicycles in build_filter(loop 1000), 1024 runs, 0 skips

    This results in small differences with the old expression :
    difference (worst case on [0, 2*M_PI]), argmax 0.008 :
    max diff (relative) : 0.000000000000157289807188
    blackman_old(0.008) : 0.000363951585488813192382
    blackman_new(0.008) : 0.000363951585488755946507

    These are judged to be insignificant for the performance gain. PSNR to
    reference file is unchanged up to second decimal point for instance.

    Reviewed-by : Michael Niedermayer <michael@niedermayer.cc>
    Signed-off-by : Ganesh Ajjanagadde <gajjanagadde@gmail.com>

    • [DH] libswresample/resample.c
  • swresample/resample : improve bessel function accuracy and speed

    2 novembre 2015, par Ganesh Ajjanagadde
    swresample/resample : improve bessel function accuracy and speed
    

    This improves accuracy for the bessel function at large arguments, and this in turn
    should improve the quality of the Kaiser window. It also improves the
    performance of the bessel function and hence build_filter by 20%.
    Details are given below.

    Algorithm : taken from the Boost project, who have done a detailed
    investigation of the accuracy of their method, as compared with e.g the
    GNU Scientific Library (GSL) :
    http://www.boost.org/doc/libs/1_52_0/libs/math/doc/sf_and_dist/html/math_toolkit/special/bessel/mbessel.html.
    Boost source code (also cited and licensed in the code) :
    https://searchcode.com/codesearch/view/14918379/.

    Accuracy : sample values may be obtained as follows. i0 denotes the old bessel code,
    i0_boost the approach here, and i0_real an arbitrary precision result (truncated) from Wolfram Alpha :
    type "bessel i0(6.0)" to reproduce. These are evaluation points that occur for
    the default kaiser_beta = 9.

    Some illustrations :
    bessel(8.0)
    i0 (8.000000) = 427.564115721804739678191254
    i0_boost(8.000000) = 427.564115721804796521610115
    i0_real (8.000000) = 427.564115721804785177396791

    bessel(6.0)
    i0 (6.000000) = 67.234406976477956163762428
    i0_boost(6.000000) = 67.234406976477970374617144
    i0_real (6.000000) = 67.234406976477975326188025

    Reason for accuracy : Main accuracy benefits come at larger bessel arguments, where the
    Taylor-Maclaurin method is not that good : 23+ iterations
    (at large arguments, since the series is about 0) can cause
    significant floating point error accumulation.

    Benchmarks : Obtained on x86-64, Haswell, GNU/Linux via a loop calling
    build_filter 1000 times :
    test : fate-swr-resample-dblp-44100-2626

    new :
    995894468 decicycles in build_filter(loop 1000), 256 runs, 0 skips
    1029719302 decicycles in build_filter(loop 1000), 512 runs, 0 skips
    984101131 decicycles in build_filter(loop 1000), 1024 runs, 0 skips

    old :
    1250020763 decicycles in build_filter(loop 1000), 256 runs, 0 skips
    1246353282 decicycles in build_filter(loop 1000), 512 runs, 0 skips
    1220017565 decicycles in build_filter(loop 1000), 1024 runs, 0 skips

    A further 5% may be squeezed by enabling -ftree-vectorize. However,
    this is a separate issue from this patch.

    Reviewed-by : Michael Niedermayer <michael@niedermayer.cc>
    Signed-off-by : Ganesh Ajjanagadde <gajjanagadde@gmail.com>

    • [DH] libswresample/resample.c