Recherche avancée
Médias (1)
-
Rennes Emotion Map 2010-11
19 octobre 2011, par
Mis à jour : Juillet 2013
Langue : français
Type : Texte
Autres articles (37)
-
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 (...) -
Support audio et vidéo HTML5
10 avril 2011MediaSPIP utilise les balises HTML5 video et audio pour la lecture de documents multimedia en profitant des dernières innovations du W3C supportées par les navigateurs modernes.
Pour les navigateurs plus anciens, le lecteur flash Flowplayer est utilisé.
Le lecteur HTML5 utilisé a été spécifiquement créé pour MediaSPIP : il est complètement modifiable graphiquement pour correspondre à un thème choisi.
Ces technologies permettent de distribuer vidéo et son à la fois sur des ordinateurs conventionnels (...) -
De l’upload à la vidéo finale [version standalone]
31 janvier 2010, parLe chemin d’un document audio ou vidéo dans SPIPMotion est divisé en trois étapes distinctes.
Upload et récupération d’informations de la vidéo source
Dans un premier temps, il est nécessaire de créer un article SPIP et de lui joindre le document vidéo "source".
Au moment où ce document est joint à l’article, deux actions supplémentaires au comportement normal sont exécutées : La récupération des informations techniques des flux audio et video du fichier ; La génération d’une vignette : extraction d’une (...)
Sur d’autres sites (5544)
-
The ffmpeg webm_dash_manifest demuxer fails with webvtt subtitles
30 janvier 2020, par HyldreanI am trying to create a DASH manifest using ffmpeg and I encounter some difficulties with the subtitles. I get the error
[webm_dash_manifest @ 0x55e19db48180] EBML header parsing failed
[webm_dash_manifest @ 0x55e19db48180] Failed to read file headers
subtitles.vtt: Operation not permittedThe subtitles are encoded in the plain text webvtt format. I first assume that the EBML header are missing because the subtitles were not contained in a webm container. I then tried to create a webm file containing only the subtitles. It appears impossible.
I think the problem comes from the webm_dash_manifest demuxer. It seeks metadata in a file with no metadata. However neither Google nor Stack Overflow give me an answer.
The command I used :
ffmpeg \
-f webm_dash_manifest -i video.webm \
-f webm_dash_manifest -i audio.webm \
-f webm_dash_manifest -i subtitles.vtt \
-map 0 -map 1 -map 2 \
-c copy \
-f webm_dash_manifest \
-adaptation_sets "id=0,streams=0 id=1,streams=1 id=2,stream=2" \
minimal.mpdand the ffmpeg output :
ffmpeg version 3.2.14-1~deb9u1 Copyright (c) 2000-2019 the FFmpeg developers
built with gcc 6.3.0 (Debian 6.3.0-18+deb9u1) 20170516
configuration: --prefix=/usr --extra-version='1~deb9u1' --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --enable-gpl --disable-stripping --enable-avresample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libebur128 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libmp3lame --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-omx --enable-openal --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libopencv --enable-libx264 --enable-shared
libavutil 55. 34.101 / 55. 34.101
libavcodec 57. 64.101 / 57. 64.101
libavformat 57. 56.101 / 57. 56.101
libavdevice 57. 1.100 / 57. 1.100
libavfilter 6. 65.100 / 6. 65.100
libavresample 3. 1. 0 / 3. 1. 0
libswscale 4. 2.100 / 4. 2.100
libswresample 2. 3.100 / 2. 3.100
libpostproc 54. 1.100 / 54. 1.100
[webm_dash_manifest @ 0x55e19db17160] Could not find codec parameters for stream 0 (Video: vp9, none, 1280x534): unspecified pixel format
Consider increasing the value for the 'analyzeduration' and 'probesize' options
Input #0, webm_dash_manifest, from 'video.webm':
Metadata:
title : Cloud Atlas
ENCODER : Lavf58.35.104
Duration: 00:05:00.01, bitrate: 998 kb/s
Chapter #0:0: start 0.000000, end 300.000000
Metadata:
title : Chapter 01
Stream #0:0(eng): Video: vp9, none, 1280x534, SAR 1:1 DAR 640:267, 23.98 fps, 23.98 tbr, 1k tbn, 1k tbc (default) (forced)
Metadata:
title : Video @ 6.9 Mbps [frame B:188517 Avg QP:20.66]
ENCODER : Lavc58.66.100 libvpx-vp9
DURATION : 00:05:00.008000000
webm_dash_manifest_duration: 300008
webm_dash_manifest_initialization_range: 900
webm_dash_manifest_file_name: video.webm
webm_dash_manifest_track_number: 1
webm_dash_manifest_cues_start: 37455991
webm_dash_manifest_cues_end: 37457486
webm_dash_manifest_bandwidth: 1420427
webm_dash_manifest_cluster_keyframe: 1
webm_dash_manifest_cue_timestamps: 298715
Input #1, webm_dash_manifest, from 'audio.webm':
Metadata:
title : Cloud Atlas
ENCODER : Lavf58.35.104
Duration: 00:05:00.01, bitrate: 126 kb/s
Chapter #1:0: start 0.000000, end 300.000000
Metadata:
title : Chapter 01
Stream #1:0(eng): Audio: opus, 48000 Hz, stereo, fltp (default)
Metadata:
title : Audio Eng DTS 5.1 channels 24 bits @ 1509 Kbps cbr
ENCODER : Lavc58.66.100 libopus
DURATION : 00:05:00.007000000
webm_dash_manifest_duration: 300007
webm_dash_manifest_initialization_range: 838
webm_dash_manifest_file_name: audio.webm
webm_dash_manifest_track_number: 1
webm_dash_manifest_cues_start: 4744091
webm_dash_manifest_cues_end: 4745279
webm_dash_manifest_bandwidth: 137531
webm_dash_manifest_cluster_keyframe: 1
webm_dash_manifest_cue_timestamps: 295000
[webm_dash_manifest @ 0x55e19db48180] EBML header parsing failed
[webm_dash_manifest @ 0x55e19db48180] Failed to read file headers
subtitles.vtt: Operation not permittedI noticed that
ffmpeg -f webm_dash_manifest -i subtitles.vttsuffices to reproduce the error.I have also tried without the
-f webm_dash_manifestflag, with no success :ffmpeg \
-f webm_dash_manifest -i video.webm \
-f webm_dash_manifest -i audio.webm \
-i subtitles.vtt \
-map 0 -map 1 -map 2 \
-c copy \
-f webm_dash_manifest \
-adaptation_sets "id=0,streams=0 id=1,streams=1 id=2,stream=2" minimal.mpdOutput :
ffmpeg version 3.2.14-1~deb9u1 Copyright (c) 2000-2019 the FFmpeg developers
built with gcc 6.3.0 (Debian 6.3.0-18+deb9u1) 20170516
configuration: --prefix=/usr --extra-version='1~deb9u1' --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --enable-gpl --disable-stripping --enable-avresample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libebur128 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libmp3lame --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-omx --enable-openal --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libopencv --enable-libx264 --enable-shared
libavutil 55. 34.101 / 55. 34.101
libavcodec 57. 64.101 / 57. 64.101
libavformat 57. 56.101 / 57. 56.101
libavdevice 57. 1.100 / 57. 1.100
libavfilter 6. 65.100 / 6. 65.100
libavresample 3. 1. 0 / 3. 1. 0
libswscale 4. 2.100 / 4. 2.100
libswresample 2. 3.100 / 2. 3.100
libpostproc 54. 1.100 / 54. 1.100
[webm_dash_manifest @ 0x557f55dd1160] Could not find codec parameters for stream 0 (Video: vp9, none, 1280x534): unspecified pixel format
Consider increasing the value for the 'analyzeduration' and 'probesize' options
Input #0, webm_dash_manifest, from 'video.webm':
Metadata:
title : Cloud Atlas
ENCODER : Lavf58.35.104
Duration: 00:05:00.01, bitrate: 998 kb/s
Chapter #0:0: start 0.000000, end 300.000000
Metadata:
title : Chapter 01
Stream #0:0(eng): Video: vp9, none, 1280x534, SAR 1:1 DAR 640:267, 23.98 fps, 23.98 tbr, 1k tbn, 1k tbc (default) (forced)
Metadata:
title : Video @ 6.9 Mbps [frame B:188517 Avg QP:20.66]
ENCODER : Lavc58.66.100 libvpx-vp9
DURATION : 00:05:00.008000000
webm_dash_manifest_duration: 300008
webm_dash_manifest_initialization_range: 900
webm_dash_manifest_file_name: video.webm
webm_dash_manifest_track_number: 1
webm_dash_manifest_cues_start: 37455991
webm_dash_manifest_cues_end: 37457486
webm_dash_manifest_bandwidth: 1420427
webm_dash_manifest_cluster_keyframe: 1
webm_dash_manifest_cue_timestamps: 298715
Input #1, webm_dash_manifest, from 'audio.webm':
Metadata:
title : Cloud Atlas
ENCODER : Lavf58.35.104
Duration: 00:05:00.01, bitrate: 126 kb/s
Chapter #1:0: start 0.000000, end 300.000000
Metadata:
title : Chapter 01
Stream #1:0(eng): Audio: opus, 48000 Hz, stereo, fltp (default)
Metadata:
title : Audio Eng DTS 5.1 channels 24 bits @ 1509 Kbps cbr
ENCODER : Lavc58.66.100 libopus
DURATION : 00:05:00.007000000
webm_dash_manifest_duration: 300007
webm_dash_manifest_initialization_range: 838
webm_dash_manifest_file_name: audio.webm
webm_dash_manifest_track_number: 1
webm_dash_manifest_cues_start: 4744091
webm_dash_manifest_cues_end: 4745279
webm_dash_manifest_bandwidth: 137531
webm_dash_manifest_cluster_keyframe: 1
webm_dash_manifest_cue_timestamps: 295000
Input #2, webvtt, from 'subtitles.vtt':
Duration: N/A, bitrate: N/A
Stream #2:0: Subtitle: webvtt
Could not write header for output file #0 (incorrect codec parameters ?): Operation not permittedStream mapping:
Stream #0:0 -> #0:0 (copy)
Stream #1:0 -> #0:1 (copy)
Stream #2:0 -> #0:2 (copy)
Last message repeated 1 timesNote :
[webm_dash_manifest @ 0x557f55dd1160] Could not find codec parameters for stream 0 (Video: vp9, none, 1280x534): unspecified pixel formatis harmless according to this post.The subtitles have been extracted with ffmpeg :
ffmpeg -i "Cloud Atlas.mkv" -map 0:6 -t 00:05:00 -c:s webvtt -dash 1 subtitles.vttThank you for reading my long post, I have no idea what to do next.
EDIT : The WebM Project website says : ’Initial WebM release does not support subtitles’. Has someone heard of a new release ? Or a convenient way to create DASH manifest with subtitles ?
-
Error installing package in anaconda : Attempted to make prefix record for unknown package type
25 janvier 2020, par ashwinidsI’m getting the error below for doing any operation install, update or uninstall
ERROR conda.core.link:_execute(700) : An error occurred while
uninstalling package ’::ffmpeg-3.2.4-2’. Rolling back
transaction : doneValueError(’Attempted to make prefix record for unknown package type :
ffmpeg-3.2.4-2’,)Details about the environment :
OS : ubuntu 18.04
python version : intelpython3Conda info
active environment : base
active env location : /home/p****/intelpython3
shell level : 1
user config file : /home/p****/.condarc
populated config files : /home/p****/.condarc
conda version : 4.7.12
conda-build version : not installed
python version : 3.6.8.final.0
virtual packages : __cuda=10.1
base environment : /home/p****/intelpython3 (writable)
channel URLs : https://conda.anaconda.org/intel/linux-64
https://conda.anaconda.org/intel/noarch
https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /home/p****/intelpython3/pkgs
/home/p****/.conda/pkgs
envs directories : /home/p****/intelpython3/envs
/home/p****/.conda/envs
platform : linux-64
user-agent : conda/4.7.12 requests/2.20.1 CPython/3.6.8 Linux/5.0.0-36-generic ubuntu/18.04.3 glibc/2.27
UID:GID : 1000:1000
netrc file : None
offline mode : FalseConda list
# packages in environment at /home/p****/intelpython3:
#
# Name Version Build Channel
_tflow_select 2.1.0 gpu anaconda
absl-py 0.8.0 py36_0 anaconda
affine 2.3.0 pypi_0 pypi
asn1crypto 0.24.0 py36_3 intel
astor 0.8.0 py36_0 anaconda
atomicwrites 1.3.0 pypi_0 pypi
attrs 19.3.0 pypi_0 pypi
audioread 2.1.6 py36_0 <unknown>
awscli 1.16.292 pypi_0 pypi
backcall 0.1.0 py36_2 <unknown>
backports 1.0 py36_9 <unknown>
bayesian-optimization 1.0.1 pypi_0 pypi
bleach 2.1.3 py36_2 <unknown>
boto3 1.10.19 pypi_0 pypi
botocore 1.13.28 pypi_0 pypi
bzip2 1.0.6 17 intel
c-ares 1.15.0 h7b6447c_1001 anaconda
causalgraphicalmodels 0.0.4 pypi_0 pypi
certifi 2018.1.18 py36_2 intel
cffi 1.11.5 py36_3 intel
chardet 3.0.4 py36_3 intel
click 7.0 pypi_0 pypi
click-plugins 1.1.1 pypi_0 pypi
cligj 0.5.0 pypi_0 pypi
colorama 0.4.1 pypi_0 pypi
conda 4.7.12 py36_0
conda-env 2.6.0 1
conda-package-handling 1.6.0 py36h7b6447c_0 anaconda
cryptography 2.3 py36_1 intel
cudatoolkit 10.1.243 h6bb024c_0
cudnn 7.6.0 cuda10.1_0 anaconda
cupti 10.1.168 0 anaconda
cvxopt 1.2.3 pypi_0 pypi
cycler 0.10.0 py36_7 intel
cython 0.29.6 py36h7b7c402_0 intel
daal 2019.4 intel_243 <unknown>
daal4py 2019.4 py36h7b7c402_0 intel
dbus 1.13.12 h746ee38_0
decorator 4.3.0 py36_3 <unknown>
descartes 1.1.0 pypi_0 pypi
docutils 0.15.2 pypi_0 pypi
dowhy 0.1.1 pypi_0 pypi
entrypoints 0.2.3 py36_2 <unknown>
expat 2.2.6 he6710b0_0
ffmpeg 3.2.4 2 <unknown>
fiona 1.8.11 pypi_0 pypi
fontconfig 2.12.6 h49f89f6_0
freetype 2.8 hab7d2ae_1
funcsigs 1.0.2 py36_7 intel
gast 0.3.2 py_0 anaconda
geopandas 0.6.2 pypi_0 pypi
get_terminal_size 1.0.0 py36_7 <unknown>
glib 2.63.1 h5a9c865_0
google-pasta 0.1.7 py_0 anaconda
grpcio 1.14.1 py36h9ba97e2_0 anaconda
gst-plugins-base 1.12.4 h33fb286_0
gstreamer 1.12.4 hb53b477_0
h5py 2.9.0 py36h7918eee_0 anaconda
hdf5 1.10.4 hb1b8bf9_0 anaconda
html5lib 1.0.1 py36_4 <unknown>
icc_rt 2019.4 intel_243 <unknown>
icu 58.2 h9c2bf20_1
idna 2.6 py36_3 intel
imageio 2.6.1 pypi_0 pypi
imgaug 0.2.6 pypi_0 pypi
impi_rt 2019.4 intel_243 <unknown>
importlib-metadata 0.23 pypi_0 pypi
intel-openmp 2019.4 intel_243 <unknown>
intelpython 2019.4 0 intel
ipp 2019.4 intel_243 <unknown>
ipykernel 4.6.1 py36_2 <unknown>
ipython 6.3.1 py36_3 <unknown>
ipython_genutils 0.2.0 py36_2 <unknown>
jedi 0.12.0 py36_2 <unknown>
jinja2 2.10.3 pypi_0 pypi
jmespath 0.9.4 pypi_0 pypi
joblib 0.13.2 pypi_0 pypi
jpeg 9b h024ee3a_2
json5 0.8.5 pypi_0 pypi
jsonschema 3.2.0 pypi_0 pypi
jupyter 1.0.0 py36_7 intel
jupyter_client 5.1.0 py36_5 <unknown>
jupyter_console 5.1.0 py36_2 <unknown>
jupyter_core 4.4.0 py36_6 <unknown>
jupyterlab 1.2.3 pypi_0 pypi
jupyterlab-server 1.0.6 pypi_0 pypi
keras 2.3.1 pypi_0 pypi
keras-applications 1.0.8 py_0 anaconda
keras-bert 0.80.0 pypi_0 pypi
keras-embed-sim 0.7.0 pypi_0 pypi
keras-layer-normalization 0.14.0 pypi_0 pypi
keras-multi-head 0.22.0 pypi_0 pypi
keras-pos-embd 0.11.0 pypi_0 pypi
keras-position-wise-feed-forward 0.6.0 pypi_0 pypi
keras-preprocessing 1.1.0 py_1 anaconda
keras-rectified-adam 0.17.0 pypi_0 pypi
keras-self-attention 0.41.0 pypi_0 pypi
keras-transformer 0.31.0 pypi_0 pypi
kiwisolver 1.0.1 py36_2 intel
libffi 3.2.1 11 intel
libgcc-ng 9.1.0 hdf63c60_0 anaconda
libgfortran-ng 7.3.0 hdf63c60_0 anaconda
libiconv 1.14 4 <unknown>
libpng 1.6.36 2 intel
libprotobuf 3.9.2 hd408876_0 anaconda
librosa 0.6.3 pypi_0 pypi
libsodium 1.0.16 3 <unknown>
libstdcxx-ng 9.1.0 hdf63c60_0 anaconda
libtiff 4.0.9 he85c1e1_1
libxcb 1.13 h1bed415_1
libxml2 2.9.8 hf84eae3_0
lightgbm 2.3.1 pypi_0 pypi
llvmlite 0.27.1 py36_0 intel
markdown 3.1.1 py36_0 anaconda
markupsafe 1.0 py36_3 <unknown>
matplotlib 2.1.0 py36hba5de38_0
mercantile 1.1.2 pypi_0 pypi
metaflow 2.0.0 pypi_0 pypi
mistune 0.8.3 py36_2 <unknown>
mkl 2019.4 intel_243 <unknown>
mkl-service 1.0.0 py36h7b7c402_11 intel
mkl_fft 1.0.11 py36h7b7c402_2 intel
mkl_random 1.0.2 py36h7b7c402_4 intel
more-itertools 7.2.0 pypi_0 pypi
mpi4py 3.0.0 py36_3 intel
mpmath 1.1.0 pypi_0 pypi
munch 2.5.0 pypi_0 pypi
nbconvert 5.2.1 py36_2 <unknown>
nbformat 4.4.0 py36_2 <unknown>
networkx 2.4 pypi_0 pypi
ninja 1.9.0 py36hfd86e86_0
noisyopt 0.2.2 pypi_0 pypi
notebook 5.2.2 py36_1 intel
numba 0.42.1 np116py36_2 intel
numexpr 2.6.8 py36_2 intel
numpy 1.16.2 py36h7b7c402_0 intel
numpy-base 1.16.2 py36_0 intel
oauthlib 3.1.0 pypi_0 pypi
olefile 0.46 py_0
openssl 1.0.2r 2 intel
packaging 19.2 pypi_0 pypi
pandas 0.24.1 py36_3 intel
pandocfilters 1.4.1 py36_2 <unknown>
parso 0.2.0 py36_2 <unknown>
path.py 11.0.1 py36_2 <unknown>
pcre 8.43 he6710b0_0
pexpect 4.2.1 py36_4 <unknown>
pickleshare 0.7.4 py36_3 <unknown>
pillow 6.2.1 pypi_0 pypi
pip 19.3.1 pypi_0 pypi
pluggy 0.13.1 pypi_0 pypi
prompt_toolkit 1.0.15 py36_2 <unknown>
protobuf 3.9.2 py36he6710b0_0 anaconda
ptyprocess 0.5.2 py36_2 <unknown>
pulp 2.0 pypi_0 pypi
py 1.8.0 pypi_0 pypi
pyasn1 0.4.8 pypi_0 pypi
pycosat 0.6.3 py36_3 intel
pycparser 2.18 py36_2 intel
pydot 1.4.1 pypi_0 pypi
pyeditline 2.0.0 py36_0 intel
pygments 2.2.0 py36_5 <unknown>
pygmy 0.2.0 pypi_0 pypi
pyopenssl 17.5.0 py36_2 intel
pyparsing 2.2.0 py36_2 intel
pyportfolioopt 0.4.3 pypi_0 pypi
pyproj 2.4.2.post1 pypi_0 pypi
pyqt 5.6.0 py36h22d08a2_6
pyrsistent 0.15.6 pypi_0 pypi
pysocks 1.6.7 py36_1 intel
pytesseract 0.3.0 pypi_0 pypi
pytest 4.6.6 pypi_0 pypi
python 3.6.8 7 intel
python-dateutil 2.6.0 py36_12 intel
python-graphviz 0.13 pypi_0 pypi
pytorch 1.3.1 py3.6_cuda10.1.243_cudnn7.6.3_0 pytorch
pytz 2018.4 py36_3 intel
pywavelets 1.1.1 pypi_0 pypi
pyyaml 4.1 py36_3 intel
pyzmq 16.0.2 py36_6 <unknown>
qt 5.6.2 hd25b39d_14
rasterio 1.1.1 pypi_0 pypi
regex 2019.11.1 pypi_0 pypi
requests 2.20.1 py36_1 intel
requests-oauthlib 1.3.0 pypi_0 pypi
resampy 0.2.1 pypi_0 pypi
rio-cogeo 1.1.6 pypi_0 pypi
rsa 3.4.2 pypi_0 pypi
ruamel_yaml 0.11.14 py36_4 intel
s3transfer 0.2.1 pypi_0 pypi
sacremoses 0.0.35 pypi_0 pypi
scikit-image 0.16.2 pypi_0 pypi
scikit-learn 0.20.3 py36h7b7c402_5 intel
scipy 1.3.3 pypi_0 pypi
seaborn 0.9.0 pypi_0 pypi
sentencepiece 0.1.83 pypi_0 pypi
setuptools 39.0.1 py36_0 intel
shapely 1.6.4.post2 pypi_0 pypi
simplegeneric 0.8.1 py36_7 <unknown>
sip 4.18.1 py36hf484d3e_2
six 1.11.0 py36_3 intel
smp 0.1.4 py36_0 intel
snuggs 1.4.7 pypi_0 pypi
sqlite 3.27.2 4 intel
supermercado 0.0.5 pypi_0 pypi
sympy 1.4 pypi_0 pypi
tbb 2019.6 intel_243 <unknown>
tbb4py 2019.6 py36_intel_0 <unknown>
tcl 8.6.4 24 intel
tensorboard 1.14.0 py36hf484d3e_0 anaconda
tensorflow 1.14.0 gpu_py36h3fb9ad6_0 anaconda
tensorflow-base 1.14.0 gpu_py36he45bfe2_0 anaconda
tensorflow-estimator 1.14.0 py_0 anaconda
tensorflow-gpu 1.14.0 h0d30ee6_0 anaconda
termcolor 1.1.0 py36_1 anaconda
terminado 0.8.1 py36_2 <unknown>
testpath 0.3.1 py36_2 <unknown>
tk 8.6.4 29 intel
torchvision 0.4.2 py36_cu101 pytorch
tornado 4.5.2 py36_5 <unknown>
tqdm 4.36.1 py_0 anaconda
traitlets 4.3.2 py36_3 <unknown>
transformers 2.1.1 pypi_0 pypi
tweepy 3.8.0 pypi_0 pypi
urllib3 1.22 pypi_0 pypi
wcwidth 0.1.7 py36_6 <unknown>
webencodings 0.5.1 py36_0 <unknown>
werkzeug 0.16.0 py_0 anaconda
wheel 0.31.0 py36_3 intel
widgetsnbextension 3.2.0 py36_1 <unknown>
wrapt 1.11.2 py36h7b6447c_0 anaconda
x264 20131218 0 <unknown>
xgboost 0.81 py36_0 intel
xz 5.2.3 2 intel
yaml 0.1.7 2 intel
zipp 0.6.0 pypi_0 pypi
zlib 1.2.11 5 intel
</unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown></unknown> -
How to keep personally identifiable information safe
23 janvier 2020, par Joselyn KhorThe protection of personally identifiable information (PII) is important both for individuals, whose privacy may be compromised, and for businesses that may have their reputation ruined or be liable if PII is wrongly accessed, used, or shared.
Curious about what PII is ? Here’s your introduction to personally identifiable information.
Due to hacking, data leaks or data thievery, PII acquired can be combined with other pieces of information to form a more complete picture of you. On an individual level, this puts you at risk of identity theft, credit card theft or other harm caused by the fraudulent use of your personal information.
On a business level, for companies who breach data privacy laws – like Cambridge Analytica’s harvesting of millions of FB profiles – the action leads to an erosion of trust. It can also impact your financial position as heavy fines can be imposed for the illegal use and processing of personally identifiable information.
So what can you do to ensure PII compliance ?
On an individual level :
- Don’t give your data away so easily. Although long, it’s worthwhile to read through privacy policies to make sure you know what you’re getting yourself into.
- Don’t just click ‘agree’ when faced with consent screens, as consent screens are majorly flawed. Users mostly always opt in without reading and without being properly informed what they opt in to.
- Did you know you’re most likely being tracked from website to website ? For example, Google can identify you across visits and websites. One of the things you can do is to disable third party cookies by default. Businesses can also use privacy friendly analytics which halt such tracking.
- Use strong passwords.
- Be wary of public wifi – hackers can easily access your PII or sensitive data. Use a VPN (virtual private network), which lets you create a secure connection to a server of your choosing. This allows you to browse the internet in a safe manner.
A PII compliance checklist for businesses/organisations :
- Identify where all PII exists and is stored – review and make sure this is in a safe environment.
- Identify laws that apply to you (GDPR, California privacy law, HIPAA) and follow your legal obligations.
- Create operational safeguards – policies and procedures for handling PII at an organisation level ; and building awareness to focus on the protection of PII.
- Encrypt databases and repositories where such info is kept.
- Create privacy-specific safeguards in the way your organisation collects, maintains, uses, and disseminates data so you protect the confidentiality of the data.
- Minimise the use, collection, and retention of PII – only collect and keep PII if it’s necessary for you to perform your legal business function.
- Conduct privacy impact assessments (PIA) to find and prevent privacy risks (identify what and why it’s to be collected ; how the information will be secured etc.).
- De-identify within the scope of your data collection and analytics tools.
- Anonymise data.
- Keep your privacy policy updated.
- Pseudonymisation.
- A more comprehensive guide for businesses can be found here : https://iapp.org/media/pdf/knowledge_center/NIST_Protecting_PII.pdf
Syndiquer tout le site
