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Rennes Emotion Map 2010-11
19 octobre 2011, par
Mis à jour : Juillet 2013
Langue : français
Type : Texte
Autres articles (111)
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Script d’installation automatique de MediaSPIP
25 avril 2011, parAfin de palier aux difficultés d’installation dues principalement aux dépendances logicielles coté serveur, un script d’installation "tout en un" en bash a été créé afin de faciliter cette étape sur un serveur doté d’une distribution Linux compatible.
Vous devez bénéficier d’un accès SSH à votre serveur et d’un compte "root" afin de l’utiliser, ce qui permettra d’installer les dépendances. Contactez votre hébergeur si vous ne disposez pas de cela.
La documentation de l’utilisation du script d’installation (...) -
Gestion de la ferme
2 mars 2010, parLa ferme est gérée dans son ensemble par des "super admins".
Certains réglages peuvent être fais afin de réguler les besoins des différents canaux.
Dans un premier temps il utilise le plugin "Gestion de mutualisation" -
Les formats acceptés
28 janvier 2010, parLes commandes suivantes permettent d’avoir des informations sur les formats et codecs gérés par l’installation local de ffmpeg :
ffmpeg -codecs ffmpeg -formats
Les format videos acceptés en entrée
Cette liste est non exhaustive, elle met en exergue les principaux formats utilisés : h264 : H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10 m4v : raw MPEG-4 video format flv : Flash Video (FLV) / Sorenson Spark / Sorenson H.263 Theora wmv :
Les formats vidéos de sortie possibles
Dans un premier temps on (...)
Sur d’autres sites (10821)
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extract subtitle from video ffmpeg. subs.srt : Invalid argument
3 juillet 2019, par evgeni fotialet filename_ext = file.path.split('/').pop()
let filename = filename_ext.split('.').slice(0, filename_ext.split('.').length-1).join('.')
var result = ffmpeg({
MEMFS: [{name: filename_ext, data: buffer}],
arguments: ["-i", filename_ext, "-map", "0:s:0", "subs.srt"],
// Ignore stdin read requests
stdin: function() {},
});
// Write out.webm to disk.
var out = result.MEMFS[0];
fs.outputFile(pathname + '/' + out.name, Buffer(out.data), 'binary');I get the following
ffmpeg version n3.1.2 Copyright (c) 2000-2016 the FFmpeg developers
built with emcc (Emscripten gcc/clang-like replacement) 1.36.7 ()
configuration: --cc=emcc --enable-cross-compile --target-os=none --arch=x86 --disable-runtime-cpudetect --disable-asm --disable-fast-unaligned --disable-pthreads --disable-w32threads --disable-os2threads --disable-debug --disable-stripping --disable-all --enable-ffmpeg --enable-avcodec --enable-avformat --enable-avutil --enable-swresample --enable-swscale --enable-avfilter --disable-network --disable-d3d11va --disable-dxva2 --disable-vaapi --disable-vda --disable-vdpau --enable-decoder=vp8 --enable-decoder=vp9 --enable-decoder=theora --enable-decoder=mpeg2video --enable-decoder=mpeg4 --enable-decoder=h264 --enable-decoder=hevc --enable-decoder=png --enable-decoder=mjpeg --enable-decoder=vorbis --enable-decoder=opus --enable-decoder=mp3 --enable-decoder=ac3 --enable-decoder=aac --enable-decoder=ass --enable-decoder=ssa --enable-decoder=srt --enable-decoder=webvtt --enable-demuxer=matroska --enable-demuxer=ogg --enable-demuxer=avi --enable-demuxer=mov --enable-demuxer=flv --enable-demuxer=mpegps --enable-demuxer=image2 --enable-demuxer=mp3 --enable-demuxer=concat --enable-protocol=file --enable-filter=aresample --enable-filter=scale --enable-filter=crop --enable-filter=overlay --disable-bzlib --disable-iconv --disable-libxcb --disable-lzma --disable-sdl --disable-securetransport --disable-xlib --disable-zlib --enable-encoder=libvpx_vp8 --enable-encoder=libopus --enable-encoder=mjpeg --enable-muxer=webm --enable-muxer=ogg --enable-muxer=null --enable-muxer=image2 --enable-filter=subtitles --enable-libass --enable-libopus --enable-libvpx --extra-cflags=-I../libvpx/dist/include --extra-ldflags=-L../libvpx/dist/lib
libavutil 55. 28.100 / 55. 28.100
libavcodec 57. 48.101 / 57. 48.101
libavformat 57. 41.100 / 57. 41.100
libavfilter 6. 47.100 / 6. 47.100
libswscale 4. 1.100 / 4. 1.100
libswresample 2. 1.100 / 2. 1.100
[h264 @ 0x7d7510] Warning: not compiled with thread support, using thread emulation
[aac @ 0x7d81c0] Warning: not compiled with thread support, using thread emulation
[ssa @ 0x7d8e30] Warning: not compiled with thread support, using thread emulation
Input #0, matroska,webm, from 'censored filename.mkv':
Metadata:
encoder : no_variable_data
creation_time : 1970-01-01 00:00:00
Duration: 00:23:40.13, start: 0.000000, bitrate: 2789 kb/s
Stream #0:0: Video: h264 (High), yuv420p, 1280x720 [SAR 1:1 DAR 16:9], 23.98 fps, 23.98 tbr, 1k tbn, 47.95 tbc (default)
Metadata:
BPS : 2658044
BPS-eng : 2658044
DURATION : 00:23:40.045000000
DURATION-eng : 00:23:40.045000000
NUMBER_OF_FRAMES: 34047
NUMBER_OF_FRAMES-eng: 34047
NUMBER_OF_BYTES : 471817808
NUMBER_OF_BYTES-eng: 471817808
_STATISTICS_WRITING_APP: no_variable_data
_STATISTICS_WRITING_APP-eng: no_variable_data
_STATISTICS_WRITING_DATE_UTC: 1970-01-01 00:00:00
_STATISTICS_WRITING_DATE_UTC-eng: 1970-01-01 00:00:00
_STATISTICS_TAGS: BPS DURATION NUMBER_OF_FRAMES NUMBER_OF_BYTES
_STATISTICS_TAGS-eng: BPS DURATION NUMBER_OF_FRAMES NUMBER_OF_BYTES
Stream #0:1(jpn): Audio: aac (LC), 44100 Hz, stereo, fltp (default)
Metadata:
BPS : 128000
BPS-eng : 128000
DURATION : 00:23:40.109000000
DURATION-eng : 00:23:40.109000000
NUMBER_OF_FRAMES: 61159
NUMBER_OF_FRAMES-eng: 61159
NUMBER_OF_BYTES : 22721748
NUMBER_OF_BYTES-eng: 22721748
_STATISTICS_WRITING_APP: no_variable_data
_STATISTICS_WRITING_APP-eng: no_variable_data
_STATISTICS_WRITING_DATE_UTC: 1970-01-01 00:00:00
_STATISTICS_WRITING_DATE_UTC-eng: 1970-01-01 00:00:00
_STATISTICS_TAGS: BPS DURATION NUMBER_OF_FRAMES NUMBER_OF_BYTES
_STATISTICS_TAGS-eng: BPS DURATION NUMBER_OF_FRAMES NUMBER_OF_BYTES
Stream #0:2(eng): Subtitle: ass (default)
Metadata:
BPS : 110
BPS-eng : 110
DURATION : 00:23:25.280000000
DURATION-eng : 00:23:25.280000000
NUMBER_OF_FRAMES: 298
NUMBER_OF_FRAMES-eng: 298
NUMBER_OF_BYTES : 19407
NUMBER_OF_BYTES-eng: 19407
_STATISTICS_WRITING_APP: no_variable_data
_STATISTICS_WRITING_APP-eng: no_variable_data
_STATISTICS_WRITING_DATE_UTC: 1970-01-01 00:00:00
_STATISTICS_WRITING_DATE_UTC-eng: 1970-01-01 00:00:00
_STATISTICS_TAGS: BPS DURATION NUMBER_OF_FRAMES NUMBER_OF_BYTES
_STATISTICS_TAGS-eng: BPS DURATION NUMBER_OF_FRAMES NUMBER_OF_BYTES
Stream #0:3: Attachment: ttf
Metadata:
filename : OpenSans-Semibold.ttf
mimetype : application/x-truetype-font
[NULL @ 0x9eac90] Unable to find a suitable output format for 'subs.srt'
subs.srt: Invalid argumentthe file is a mkv video file
Other info
Codecs:
D..... = Decoding supported
.E.... = Encoding supported
..V... = Video codec
..A... = Audio codec
..S... = Subtitle codec
...I.. = Intra frame-only codec
....L. = Lossy compression
.....S = Lossless compression
-------
..VI.. 012v Uncompressed 4:2:2 10-bit
..V.L. 4xm 4X Movie
..VI.S 8bps QuickTime 8BPS video
..VIL. a64_multi Multicolor charset for Commodore 64
..VIL. a64_multi5 Multicolor charset for Commodore 64, extended with 5th color (colram)
..V..S aasc Autodesk RLE
..VIL. aic Apple Intermediate Codec
..VI.S alias_pix Alias/Wavefront PIX image
..VIL. amv AMV Video
..V.L. anm Deluxe Paint Animation
..V.L. ansi ASCII/ANSI art
..V..S apng APNG (Animated Portable Network Graphics) image
..VIL. asv1 ASUS V1
..VIL. asv2 ASUS V2
..VIL. aura Auravision AURA
..VIL. aura2 Auravision Aura 2
..V... avrn Avid AVI Codec
..VI.. avrp Avid 1:1 10-bit RGB Packer
..V.L. avs AVS (Audio Video Standard) video
..VI.. avui Avid Meridien Uncompressed
..VI.. ayuv Uncompressed packed MS 4:4:4:4
..V.L. bethsoftvid Bethesda VID video
..V.L. bfi Brute Force & Ignorance
..V.L. binkvideo Bink video
..VI.. bintext Binary text
..VI.S bmp BMP (Windows and OS/2 bitmap)
..V..S bmv_video Discworld II BMV video
..VI.S brender_pix BRender PIX image
..V.L. c93 Interplay C93
..V.L. cavs Chinese AVS (Audio Video Standard) (AVS1-P2, JiZhun profile)
..V.L. cdgraphics CD Graphics video
..VIL. cdxl Commodore CDXL video
..V.L. cfhd Cineform HD
..V.L. cinepak Cinepak
..VIL. cljr Cirrus Logic AccuPak
..VI.S cllc Canopus Lossless Codec
..V.L. cmv Electronic Arts CMV video
..V... cpia CPiA video format
..V..S cscd CamStudio
..VIL. cyuv Creative YUV (CYUV)
..V.LS daala Daala
..VILS dds DirectDraw Surface image decoder
..V.L. dfa Chronomaster DFA
..V.LS dirac Dirac
..VIL. dnxhd VC3/DNxHD
..VI.S dpx DPX (Digital Picture Exchange) image
..V.L. dsicinvideo Delphine Software International CIN video
..VIL. dvvideo DV (Digital Video)
..V..S dxa Feeble Files/ScummVM DXA
..VI.S dxtory Dxtory
..VIL. dxv Resolume DXV
..V.L. escape124 Escape 124
..V.L. escape130 Escape 130
..VILS exr OpenEXR image
..V..S ffv1 FFmpeg video codec #1
..VI.S ffvhuff Huffyuv FFmpeg variant
..V.L. fic Mirillis FIC
..V..S flashsv Flash Screen Video v1
..V.L. flashsv2 Flash Screen Video v2
..V..S flic Autodesk Animator Flic video
..V.L. flv1 FLV / Sorenson Spark / Sorenson H.263 (Flash Video)
..V..S fraps Fraps
..VI.S frwu Forward Uncompressed
..V.L. g2m Go2Meeting
..V..S gif GIF (Graphics Interchange Format)
..V.L. h261 H.261
D.V.L. h263 H.263 / H.263-1996, H.263+ / H.263-1998 / H.263 version 2
..V.L. h263i Intel H.263
..V.L. h263p H.263+ / H.263-1998 / H.263 version 2
D.V.LS h264 H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10
..VIL. hap Vidvox Hap decoder
D.V.L. hevc H.265 / HEVC (High Efficiency Video Coding)
..V.L. hnm4video HNM 4 video
..VIL. hq_hqa Canopus HQ/HQA
..VIL. hqx Canopus HQX
..VI.S huffyuv HuffYUV
..V.L. idcin id Quake II CIN video
..VI.. idf iCEDraw text
..V.L. iff_ilbm IFF ACBM/ANIM/DEEP/ILBM/PBM/RGB8/RGBN
..V.L. indeo2 Intel Indeo 2
..V.L. indeo3 Intel Indeo 3
..V.L. indeo4 Intel Indeo Video Interactive 4
..V.L. indeo5 Intel Indeo Video Interactive 5
..V.L. interplayvideo Interplay MVE video
..VILS jpeg2000 JPEG 2000
..VILS jpegls JPEG-LS
..VIL. jv Bitmap Brothers JV video
..V.L. kgv1 Kega Game Video
..V.L. kmvc Karl Morton's video codec
..VI.S lagarith Lagarith lossless
..VI.S ljpeg Lossless JPEG
..VI.S loco LOCO
..VI.S m101 Matrox Uncompressed SD
..V.L. mad Electronic Arts Madcow Video
..VI.S magicyuv MagicYUV Lossless Video
..VIL. mdec Sony PlayStation MDEC (Motion DECoder)
..V.L. mimic Mimic
DEVIL. mjpeg Motion JPEG
..VIL. mjpegb Apple MJPEG-B
..V.L. mmvideo American Laser Games MM Video
..V.L. motionpixels Motion Pixels video
..V.L. mpeg1video MPEG-1 video
D.V.L. mpeg2video MPEG-2 video
D.V.L. mpeg4 MPEG-4 part 2
..V.L. mpegvideo_xvmc MPEG-1/2 video XvMC (X-Video Motion Compensation)
..V.L. msa1 MS ATC Screen
..V.L. msmpeg4v1 MPEG-4 part 2 Microsoft variant version 1
..V.L. msmpeg4v2 MPEG-4 part 2 Microsoft variant version 2
..V.L. msmpeg4v3 MPEG-4 part 2 Microsoft variant version 3
..V..S msrle Microsoft RLE
..V.L. mss1 MS Screen 1
..VIL. mss2 MS Windows Media Video V9 Screen
..V.L. msvideo1 Microsoft Video 1
..VI.S mszh LCL (LossLess Codec Library) MSZH
..V.L. mts2 MS Expression Encoder Screen
..VIL. mvc1 Silicon Graphics Motion Video Compressor 1
..VIL. mvc2 Silicon Graphics Motion Video Compressor 2
..V.L. mxpeg Mobotix MxPEG video
..V.L. nuv NuppelVideo/RTJPEG
..V.L. paf_video Amazing Studio Packed Animation File Video
..VI.S pam PAM (Portable AnyMap) image
..VI.S pbm PBM (Portable BitMap) image
..VI.S pcx PC Paintbrush PCX image
..VI.S pgm PGM (Portable GrayMap) image
..VI.S pgmyuv PGMYUV (Portable GrayMap YUV) image
..VIL. pictor Pictor/PC Paint
..V..S png PNG (Portable Network Graphics) image
..VI.S ppm PPM (Portable PixelMap) image
..VIL. prores Apple ProRes (iCodec Pro)
..VIL. ptx V.Flash PTX image
..VI.S qdraw Apple QuickDraw
..V.L. qpeg Q-team QPEG
..V..S qtrle QuickTime Animation (RLE) video
..VI.S r10k AJA Kona 10-bit RGB Codec
..VI.S r210 Uncompressed RGB 10-bit
..VI.S rawvideo raw video
..VIL. rl2 RL2 video
..V.L. roq id RoQ video
..V.L. rpza QuickTime video (RPZA)
..V..S rscc innoHeim/Rsupport Screen Capture Codec
..V.L. rv10 RealVideo 1.0
..V.L. rv20 RealVideo 2.0
..V.L. rv30 RealVideo 3.0
..V.L. rv40 RealVideo 4.0
..V.L. sanm LucasArts SANM/SMUSH video
..V..S screenpresso Screenpresso
..VI.S sgi SGI image
..VI.S sgirle SGI RLE 8-bit
..VI.S sheervideo BitJazz SheerVideo
..V.L. smackvideo Smacker video
..V.L. smc QuickTime Graphics (SMC)
..V... smvjpeg Sigmatel Motion Video
..V.LS snow Snow
..VIL. sp5x Sunplus JPEG (SP5X)
..VI.S sunrast Sun Rasterfile image
..V.L. svq1 Sorenson Vector Quantizer 1 / Sorenson Video 1 / SVQ1
..V.L. svq3 Sorenson Vector Quantizer 3 / Sorenson Video 3 / SVQ3
..VI.S targa Truevision Targa image
..VI.. targa_y216 Pinnacle TARGA CineWave YUV16
..V.L. tdsc TDSC
..V.L. tgq Electronic Arts TGQ video
..V.L. tgv Electronic Arts TGV video
D.V.L. theora Theora
..VIL. thp Nintendo Gamecube THP video
..V.L. tiertexseqvideo Tiertex Limited SEQ video
..VI.S tiff TIFF image
..VIL. tmv 8088flex TMV
..V.L. tqi Electronic Arts TQI video
..V.L. truemotion1 Duck TrueMotion 1.0
..V.L. truemotion2 Duck TrueMotion 2.0
..V.L. truemotion2rt Duck TrueMotion 2.0 Real Time
..V..S tscc TechSmith Screen Capture Codec
..V.L. tscc2 TechSmith Screen Codec 2
..VIL. txd Renderware TXD (TeXture Dictionary) image
..V.L. ulti IBM UltiMotion
..VI.S utvideo Ut Video
..VI.S v210 Uncompressed 4:2:2 10-bit
..VI.S v210x Uncompressed 4:2:2 10-bit
..VI.. v308 Uncompressed packed 4:4:4
..VI.. v408 Uncompressed packed QT 4:4:4:4
..VI.S v410 Uncompressed 4:4:4 10-bit
..V.L. vb Beam Software VB
..VI.S vble VBLE Lossless Codec
..V.L. vc1 SMPTE VC-1
..V.L. vc1image Windows Media Video 9 Image v2
..VIL. vcr1 ATI VCR1
..VIL. vixl Miro VideoXL
..V.L. vmdvideo Sierra VMD video
..V..S vmnc VMware Screen Codec / VMware Video
D.V.L. vp3 On2 VP3
..V.L. vp5 On2 VP5
..V.L. vp6 On2 VP6
..V.L. vp6a On2 VP6 (Flash version, with alpha channel)
..V.L. vp6f On2 VP6 (Flash version)
..V.L. vp7 On2 VP7
DEV.L. vp8 On2 VP8 (encoders: libvpx )
D.V.L. vp9 Google VP9
..VILS webp WebP
..V.L. wmv1 Windows Media Video 7
..V.L. wmv2 Windows Media Video 8
..V.L. wmv3 Windows Media Video 9
..V.L. wmv3image Windows Media Video 9 Image
..VIL. wnv1 Winnov WNV1
..V..S wrapped_avframe AVFrame to AVPacket passthrough
..V.L. ws_vqa Westwood Studios VQA (Vector Quantized Animation) video
..V.L. xan_wc3 Wing Commander III / Xan
..V.L. xan_wc4 Wing Commander IV / Xxan
..VI.. xbin eXtended BINary text
..VI.S xbm XBM (X BitMap) image
..VIL. xface X-face image
..VI.S xwd XWD (X Window Dump) image
..VI.. y41p Uncompressed YUV 4:1:1 12-bit
..VI.S ylc YUY2 Lossless Codec
..V.L. yop Psygnosis YOP Video
..VI.. yuv4 Uncompressed packed 4:2:0
..V..S zerocodec ZeroCodec Lossless Video
..VI.S zlib LCL (LossLess Codec Library) ZLIB
..V..S zmbv Zip Motion Blocks Video
..A.L. 4gv 4GV (Fourth Generation Vocoder)
..A.L. 8svx_exp 8SVX exponential
..A.L. 8svx_fib 8SVX fibonacci
D.A.L. aac AAC (Advanced Audio Coding)
..A.L. aac_latm AAC LATM (Advanced Audio Coding LATM syntax)
D.A.L. ac3 ATSC A/52A (AC-3)
..A.L. adpcm_4xm ADPCM 4X Movie
..A.L. adpcm_adx SEGA CRI ADX ADPCM
..A.L. adpcm_afc ADPCM Nintendo Gamecube AFC
..A.L. adpcm_aica ADPCM Yamaha AICA
..A.L. adpcm_ct ADPCM Creative Technology
..A.L. adpcm_dtk ADPCM Nintendo Gamecube DTK
..A.L. adpcm_ea ADPCM Electronic Arts
..A.L. adpcm_ea_maxis_xa ADPCM Electronic Arts Maxis CDROM XA
..A.L. adpcm_ea_r1 ADPCM Electronic Arts R1
..A.L. adpcm_ea_r2 ADPCM Electronic Arts R2
..A.L. adpcm_ea_r3 ADPCM Electronic Arts R3
..A.L. adpcm_ea_xas ADPCM Electronic Arts XAS
..A.L. adpcm_g722 G.722 ADPCM
..A.L. adpcm_g726 G.726 ADPCM
..A.L. adpcm_g726le G.726 ADPCM little-endian
..A.L. adpcm_ima_amv ADPCM IMA AMV
..A.L. adpcm_ima_apc ADPCM IMA CRYO APC
..A.L. adpcm_ima_dat4 ADPCM IMA Eurocom DAT4
..A.L. adpcm_ima_dk3 ADPCM IMA Duck DK3
..A.L. adpcm_ima_dk4 ADPCM IMA Duck DK4
..A.L. adpcm_ima_ea_eacs ADPCM IMA Electronic Arts EACS
..A.L. adpcm_ima_ea_sead ADPCM IMA Electronic Arts SEAD
..A.L. adpcm_ima_iss ADPCM IMA Funcom ISS
..A.L. adpcm_ima_oki ADPCM IMA Dialogic OKI
..A.L. adpcm_ima_qt ADPCM IMA QuickTime
..A.L. adpcm_ima_rad ADPCM IMA Radical
..A.L. adpcm_ima_smjpeg ADPCM IMA Loki SDL MJPEG
..A.L. adpcm_ima_wav ADPCM IMA WAV
..A.L. adpcm_ima_ws ADPCM IMA Westwood
..A.L. adpcm_ms ADPCM Microsoft
..A.L. adpcm_mtaf ADPCM MTAF
..A.L. adpcm_psx ADPCM Playstation
..A.L. adpcm_sbpro_2 ADPCM Sound Blaster Pro 2-bit
..A.L. adpcm_sbpro_3 ADPCM Sound Blaster Pro 2.6-bit
..A.L. adpcm_sbpro_4 ADPCM Sound Blaster Pro 4-bit
..A.L. adpcm_swf ADPCM Shockwave Flash
..A.L. adpcm_thp ADPCM Nintendo THP
..A.L. adpcm_thp_le ADPCM Nintendo THP (Little-Endian)
..A.L. adpcm_vima LucasArts VIMA audio
..A.L. adpcm_xa ADPCM CDROM XA
..A.L. adpcm_yamaha ADPCM Yamaha
..A..S alac ALAC (Apple Lossless Audio Codec)
..A.L. amr_nb AMR-NB (Adaptive Multi-Rate NarrowBand)
..A.L. amr_wb AMR-WB (Adaptive Multi-Rate WideBand)
..A..S ape Monkey's Audio
..A.L. atrac1 ATRAC1 (Adaptive TRansform Acoustic Coding)
..A.L. atrac3 ATRAC3 (Adaptive TRansform Acoustic Coding 3)
..A.L. atrac3p ATRAC3+ (Adaptive TRansform Acoustic Coding 3+)
..A.L. avc On2 Audio for Video Codec
..A.L. binkaudio_dct Bink Audio (DCT)
..A.L. binkaudio_rdft Bink Audio (RDFT)
..A.L. bmv_audio Discworld II BMV audio
..A.L. celt Constrained Energy Lapped Transform (CELT)
..A.L. comfortnoise RFC 3389 Comfort Noise
..A.L. cook Cook / Cooker / Gecko (RealAudio G2)
..A.L. dsd_lsbf DSD (Direct Stream Digital), least significant bit first
..A.L. dsd_lsbf_planar DSD (Direct Stream Digital), least significant bit first, planar
..A.L. dsd_msbf DSD (Direct Stream Digital), most significant bit first
..A.L. dsd_msbf_planar DSD (Direct Stream Digital), most significant bit first, planar
..A.L. dsicinaudio Delphine Software International CIN audio
..A.L. dss_sp Digital Speech Standard - Standard Play mode (DSS SP)
..A..S dst DST (Direct Stream Transfer)
..A.LS dts DCA (DTS Coherent Acoustics)
..A.L. dvaudio DV audio
..A.L. eac3 ATSC A/52B (AC-3, E-AC-3)
..A.L. evrc EVRC (Enhanced Variable Rate Codec)
..A..S flac FLAC (Free Lossless Audio Codec)
..A.L. g723_1 G.723.1
..A.L. g729 G.729
..A.L. gsm GSM
..A.L. gsm_ms GSM Microsoft variant
..A.L. iac IAC (Indeo Audio Coder)
..A.L. ilbc iLBC (Internet Low Bitrate Codec)
..A.L. imc IMC (Intel Music Coder)
..A.L. interplay_dpcm DPCM Interplay
..A.L. interplayacm Interplay ACM
..A.L. mace3 MACE (Macintosh Audio Compression/Expansion) 3:1
..A.L. mace6 MACE (Macintosh Audio Compression/Expansion) 6:1
..A.L. metasound Voxware MetaSound
..A..S mlp MLP (Meridian Lossless Packing)
..A.L. mp1 MP1 (MPEG audio layer 1)
..A.L. mp2 MP2 (MPEG audio layer 2)
D.A.L. mp3 MP3 (MPEG audio layer 3)
..A.L. mp3adu ADU (Application Data Unit) MP3 (MPEG audio layer 3)
..A.L. mp3on4 MP3onMP4
..A..S mp4als MPEG-4 Audio Lossless Coding (ALS)
..A.L. musepack7 Musepack SV7
..A.L. musepack8 Musepack SV8
..A.L. nellymoser Nellymoser Asao
DEA.L. opus Opus (Opus Interactive Audio Codec) (encoders: libopus )
..A.L. paf_audio Amazing Studio Packed Animation File Audio
..A.L. pcm_alaw PCM A-law / G.711 A-law
..A..S pcm_bluray PCM signed 16|20|24-bit big-endian for Blu-ray media
..A..S pcm_dvd PCM signed 20|24-bit big-endian
..A..S pcm_f32be PCM 32-bit floating point big-endian
..A..S pcm_f32le PCM 32-bit floating point little-endian
..A..S pcm_f64be PCM 64-bit floating point big-endian
..A..S pcm_f64le PCM 64-bit floating point little-endian
..A..S pcm_lxf PCM signed 20-bit little-endian planar
..A.L. pcm_mulaw PCM mu-law / G.711 mu-law
..A..S pcm_s16be PCM signed 16-bit big-endian
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Top 5 Web Analytics Tools for Your Site
11 août 2023, par Erin — Analytics Tips -
Overcoming Fintech and Finserv’s Biggest Data Analytics Challenges
Data powers innovation in financial technology (fintech), from personalized banking services to advanced fraud detection systems. Industry leaders recognize the value of strong security measures and customer privacy. A recent survey highlights this focus, with 72% of finance Chief Risk Officers identifying cybersecurity as their primary concern.
Beyond cybersecurity, fintech and financial services (finserv) companies are bogged down with massive amounts of data spread throughout disconnected systems. Between this, a complex regulatory landscape and an increasingly tech-savvy and sceptical consumer base, fintech and finserv companies have a lot on their plates.
How can marketing teams get the information they need while staying focused on compliance and providing customer value ?
This article will examine strategies to address common challenges in the finserv and fintech industries. We’ll focus on using appropriate tools, following effective data management practices, and learning from traditional banks’ approaches to similar issues.
What are the biggest fintech data analytics challenges, and how do they intersect with traditional banking ?
Recent years have been tough for the fintech industry, especially after the pandemic. This period has brought new hurdles in data analysis and made existing ones more complex. As the market stabilises, both fintech and finserve companies must tackle these evolving data issues.
Let’s examine some of the most significant data analytics challenges facing the fintech industry, starting with an issue that’s prevalent across the financial sector :
1. Battling data silos
In a recent survey by InterSystems, 54% of financial institution leaders said data silos are their biggest barrier to innovation, while 62% said removing silos is their priority data strategy for the next year.
Data silos segregate data repositories across departments, products and other divisions. This is a major issue in traditional banking and something fintech companies should avoid inheriting at all costs.
Siloed data makes it harder for decision-makers to view business performance with 360-degree clarity. It’s also expensive to maintain and operationalise and can evolve into privacy and data compliance issues if left unchecked.
To avoid or remove data silos, develop a data governance framework and centralise your data repositories. Next, simplify your analytics stack into as few integrated tools as possible because complex tech stacks are one of the leading causes of data silos.
Use an analytics system like Matomo that incorporates web analytics, marketing attribution and CRO testing into one toolkit.
Matomo’s support plans help you implement a data system to meet the unique needs of your business and avoid issues like data silos. We also offer data warehouse exporting as a feature to bring all of your web analytics, customer data, support data, etc., into one centralised location.
Try Matomo for free today, or contact our sales team to discuss support plans.
2. Compliance with laws and regulations
A survey by Alloy reveals that 93% of fintech companies find it difficult to meet compliance regulations. The cost of staying compliant tops their list of worries (23%), outranking even the financial hit from fraud (21%) – and this in a year marked by cyber threats.
Data privacy laws are constantly changing, and the landscape varies across global regions, making adherence even more challenging for fintechs and traditional banks operating in multiple markets.
In the US market, companies grapple with regulations at both federal and state levels. Here are some of the state-level legislation coming into effect for 2024-2026 :
- Oregon – Oregon Consumer Privacy Act (July 1, 2024)
- Florida – Florida Digital Bill of Rights (July 1, 2024)
- Texas – Texas Data Privacy and Security Act (July 1, 2024)
- Montana – Montana Consumer Data Privacy Act (October 1, 2024)
- Delaware – Delaware Personal Privacy Act (January 1, 2025)
- Iowa – Iowa Consumer Data Protection Act (January 1, 2025)
- New Jersey – SB 332 (January 15, 2025)
- Tennessee – Tennessee Information Protection Act (July 1, 2025)
- Indiana – Indiana Consumer Data Protection Act ( January 1, 2026)
Other countries are also ramping up regional regulations. For instance, Canada has Quebec’s Act Respecting the Protection of Personal Information in the Private Sector and British Columbia’s Personal Information Protection Act (BC PIPA).
Ignorance of country- or region-specific laws will not stop companies from suffering the consequences of violating them.
The only answer is to invest in adherence and manage business growth accordingly. Ultimately, compliance is more affordable than non-compliance – not only in terms of the potential fines but also the potential risks to reputation, consumer trust and customer loyalty.
This is an expensive lesson that fintech and traditional financial companies have had to learn together. GDPR regulators hit CaixaBank S.A, one of Spain’s largest banks, with multiple multi-million Euro fines, and Klarna Bank AB, a popular Swedish fintech company, for €720,000.
To avoid similar fates, companies should :
- Build solid data systems
- Hire compliance experts
- Train their teams thoroughly
- Choose data analytics tools carefully
Remember, even popular tools like Google Analytics aren’t automatically safe. Find out how Matomo helps you gather useful insights while sticking to rules like GDPR.
3. Protecting against data security threats
Cyber threats are increasing in volume and sophistication, with the financial sector becoming the most breached in 2023.
The cybersecurity risks will only worsen, with WEF estimating annual cybercrime expenses of up to USD $10.5 trillion globally by 2025, up from USD $3 trillion in 2015.
While technology brings new security solutions, it also amplifies existing risks and creates new ones. A 2024 McKinsey report warns that the risk of data breaches will continue to increase as the financial industry increasingly relies on third-party data tools and cloud computing services unless they simultaneously improve their security posture.
The reality is that adopting a third-party data system without taking the proper precautions means adopting its security vulnerabilities.
In 2023, the MOVEit data breach affected companies worldwide, including financial institutions using its file transfer system. One hack created a global data crisis, potentially affecting the customer data of every company using this one software product.
The McKinsey report emphasises choosing tools wisely. Why ? Because when customer data is compromised, it’s your company that takes the heat, not the tool provider. As the report states :
“Companies need reliable, insightful metrics and reporting (such as security compliance, risk metrics and vulnerability tracking) to prove to regulators the health of their security capabilities and to manage those capabilities.”
Don’t put user or customer data in the hands of companies you can’t trust. Work with providers that care about security as much as you do. With Matomo, you own all of your data, ensuring it’s never used for unknown purposes.
4. Protecting users’ privacy
With security threats increasing, fintech companies and traditional banks must prioritise user privacy protection. Users are also increasingly aware of privacy threats and ready to walk away from companies that lose their trust.
Cisco’s 2023 Data Privacy Benchmark Study reveals some eye-opening statistics :
- 94% of companies said their customers wouldn’t buy from them if their data wasn’t protected, and
- 95% see privacy as a business necessity, not just a legal requirement.
Modern financial companies must balance data collection and management with increasing privacy demands. This may sound contradictory for companies reliant on dated practices like third-party cookies, but they need to learn to thrive in a cookieless web as customers move to banks and service providers that have strong data ethics.
This privacy protection journey starts with implementing web analytics ethically from the very first session.
The most important elements of ethically-sound web analytics in fintech are :
- 100% data ownership : Make sure your data isn’t used in other ways by the tools that collect it.
- Respecting user privacy : Only collect the data you absolutely need to do your job and avoid personally identifiable information.
- Regulatory compliance : Stick with solutions built for compliance to stay out of legal trouble.
- Data transparency : Know how your tools use your data and let your customers know how you use it.
Read our guide to ethical web analytics for more information.
5. Comparing customer trust across industries
While fintech companies are making waves in the financial world, they’re still playing catch-up when it comes to earning customer trust. According to RFI Global, fintech has a consumer trust score of 5.8/10 in 2024, while traditional banking scores 7.6/10.
This trust gap isn’t just about perception – it’s rooted in real issues :
- Security breaches are making headlines more often.
- Privacy regulations like GDPR are making consumers more aware of their rights.
- Some fintech companies are struggling to handle fraud effectively.
According to the UK’s Payment Systems Regulator, digital banking brands Monzo and Starling had some of the highest fraudulent activity rates in 2022. Yet, Monzo only reimbursed 6% of customers who reported suspicious transactions, compared to 70% for NatWest and 91% for Nationwide.
So, what can fintech firms do to close this trust gap ?
- Start with privacy-centric analytics from day one. This shows customers you value their privacy from the get-go.
- Build and maintain a long-term reputation free of data leaks and privacy issues. One major breach can undo years of trust-building.
- Learn from traditional banks when it comes to handling issues like fraudulent transactions, identity theft, and data breaches. Prompt, customer-friendly resolutions go a long way.
- Remember : cutting-edge financial technology doesn’t make up for poor customer care. If your digital bank won’t refund customers who’ve fallen victim to credit card fraud, they’ll likely switch to a traditional bank that will.
The fintech sector has made strides in innovation, but there’s still work to do in establishing trustworthiness. By focusing on robust security, transparent practices, and excellent customer service, fintech companies can bridge the trust gap and compete more effectively with traditional banks.
6. Collecting quality data
Adhering to data privacy regulations, protecting user data and implementing ethical analytics raises another challenge. How can companies do all of these things and still collect reliable, quality data ?
Google’s answer is using predictive models, but this replaces real data with calculations and guesswork. The worst part is that Google Analytics doesn’t even let you use all of the data you collect in the first place. Instead, it uses something called data sampling once you pass certain thresholds.
In practice, this means that Google Analytics uses a limited set of your data to calculate reports. We’ve discussed GA4 data sampling at length before, but there are two key problems for companies here :
- A sample size that’s too small won’t give you a full representation of your data.
- The more visitors that come to your site, the less accurate your reports will become.
For high-growth companies, data sampling simply can’t keep up. Financial marketers widely recognise the shortcomings of big tech analytics providers. In fact, 80% of them say they’re concerned about data bias from major providers like Google and Meta affecting valuable insights.
This is precisely why CRO:NYX Digital approached us after discovering Google Analytics wasn’t providing accurate campaign data. We set up an analytics system to suit the company’s needs and tested it alongside Google Analytics for multiple campaigns. In one instance, Google Analytics failed to register 6,837 users in a single day, approximately 9.8% of the total tracked by Matomo.
In another instance, Google Analytics only tracked 600 visitors over 24 hours, while Matomo recorded nearly 71,000 visitors – an 11,700% discrepancy.
Financial companies need a more reliable, privacy-centric alternative to Google Analytics that captures quality data without putting users at potential risk. This is why we built Matomo and why our customers love having total control and visibility of their data.
Unlock the full power of fintech data analytics with Matomo
Fintech companies face many data-related challenges, so compliant web analytics shouldn’t be one of them.
With Matomo, you get :
- An all-in-one solution that handles traditional web analytics, behavioural analytics and more with strong integrations to minimise the likelihood of data siloing
- Full compliance with GDPR, CCPA, PIPL and more
- Complete ownership of your data to minimise cybersecurity risks caused by negligent third parties
- An abundance of ways to protect customer privacy, like IP address anonymisation and respect for DoNotTrack settings
- The ability to import data from Google Analytics and distance yourself from big tech
- High-quality data that doesn’t rely on sampling
- A tool built with financial analytics in mind
Don’t let big tech companies limit the power of your data with sketchy privacy policies and counterintuitive systems like data sampling.
Start your Matomo free trial or request a demo to unlock the full power of fintech data analytics without putting your customers’ personal information at unnecessary risk.