
Recherche avancée
Autres articles (99)
-
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 (...) -
Emballe médias : à quoi cela sert ?
4 février 2011, parCe plugin vise à gérer des sites de mise en ligne de documents de tous types.
Il crée des "médias", à savoir : un "média" est un article au sens SPIP créé automatiquement lors du téléversement d’un document qu’il soit audio, vidéo, image ou textuel ; un seul document ne peut être lié à un article dit "média" ; -
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 (...)
Sur d’autres sites (9038)
-
swresample/resample : speed up build_filter by 50%
4 novembre 2015, par Ganesh Ajjanagaddeswresample/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 skipsold :
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 skipsNote 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> -
swresample/resample : speed up build_filter for Blackman-Nuttall filter
5 novembre 2015, par Ganesh Ajjanagaddeswresample/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 skipsnew :
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 skipsThis 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) : 0.000363951585488755946507These 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> -
swresample/resample : improve bessel function accuracy and speed
2 novembre 2015, par Ganesh Ajjanagaddeswresample/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) = 427.564115721804785177396791bessel(6.0)
i0 (6.000000) = 67.234406976477956163762428
i0_boost(6.000000) = 67.234406976477970374617144
i0_real (6.000000) = 67.234406976477975326188025Reason 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-44100-2626new :
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 skipsold :
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 skipsA 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>