From: Thomas Fillon Date: Fri, 23 Jan 2015 17:51:08 +0000 (+0100) Subject: WAC2015: update poster content X-Git-Url: https://git.parisson.com/?a=commitdiff_plain;h=189b0f11f9566a0dd20c6b45924b75f7f8ef404e;p=telemeta-doc.git WAC2015: update poster content --- diff --git a/Conferences/2015_WAC/poster/poster_WAC2015.pdf b/Conferences/2015_WAC/poster/poster_WAC2015.pdf index 77e96da..b073ba2 100644 Binary files a/Conferences/2015_WAC/poster/poster_WAC2015.pdf and b/Conferences/2015_WAC/poster/poster_WAC2015.pdf differ diff --git a/Conferences/2015_WAC/poster/poster_WAC2015.tex b/Conferences/2015_WAC/poster/poster_WAC2015.tex index a493211..c14d220 100644 --- a/Conferences/2015_WAC/poster/poster_WAC2015.tex +++ b/Conferences/2015_WAC/poster/poster_WAC2015.tex @@ -157,7 +157,11 @@ \href{https://github.com/Parisson/Telemeta/}{\raisebox{-.2\height}{\includegraphics[width=1.5cm]{img/misc/GitHub-Mark-120px-plus.png}}\hskip2ex \textbf{\texttt{https://github.com/Parisson/Telemeta/}}} \end{tcolorbox} - + \begin{center} + \includegraphics[height=3cm]{img/misc/python-logo-master-v3-TM.png}\hspace{3cm} + \includegraphics[height=3cm]{img/misc/django-logo-negative.png} + \end{center} + \begin{minipage}[h]{0.97\linewidth} \begin{block}{Web audio content management} \begin{itemize} @@ -167,21 +171,18 @@ efficient and secure methods for \alert{backuping}, \alert{indexing}, \alert{transcoding}, \alert{analysing} and \alert{publishing} any digitalized audio file with - its metadata. - \item \emph{Telemeta} is ideal for professional - collaborators who wants to easily organize, backup, - archive and publish documented sound collections of - audio files, CDs, digitalized vinyls and magnetic tapes - over a strong database in accordance with \alert{open + its metadata and in accordance with \alert{open web standards}. + % \item \emph{Telemeta} is ideal for professional + % collaborators who wants to easily organize, backup, + % archive and publish documented sound collections of + % audio files, CDs, digitalized vinyls and magnetic tapes + % over a strong database in accordance with \alert{open + % web standards}. \item \emph{Telemeta} architecture is \alert{flexible} and can easily be adapted to particular database organization of a given sound archives. \end{itemize} - \begin{center} - \includegraphics[height=3cm]{img/misc/python-logo-master-v3-TM.png}\hspace{3cm} - \includegraphics[height=3cm]{img/misc/django-logo-negative.png} - \end{center} The main features of \emph{Telemeta} are: \vspace{-0.5cm} \begin{multicols}{2}[] @@ -200,7 +201,7 @@ provided through an external component, \emph{TimeSide}. \end{block} - \begin{block}{Metadata} + \begin{block}{Metadata - Semantic Web} \vspace{-0.5cm} \begin{itemize} \item In addition to the audio data, dynamically handling @@ -219,19 +220,18 @@ archive related information and include related materials in any multimedia format. - \textbf{Annotations and segmentation}\\ - Metadata also consist in temporal information such as: + \textbf{Annotations and segmentation (time-indexed information)} \begin{itemize} \item a list of \alert{time-coded markers} associated with annotations \item a list of of \alert{time-segments} associated with labels (\emph{in development}) . \end{itemize} - The ontology for those labels is relevant for - ethnomusicology (e.g. speech versus singing voice segment, - chorus, ...). It should be noted that annotations and - segmentation can be done either by a human expert or by - some automatic signal processing analysis. + %The ontology for those labels is relevant for + %ethnomusicology (e.g. speech versus singing voice segment, + %chorus, ...). It should be noted that annotations and + %segmentation can be done either by a human expert or by + %some automatic signal processing analysis. \end{block} \end{minipage} \end{center} @@ -259,9 +259,8 @@ \item \alert{Publish} collected ressources together with research work. - \item \alert{Exchange} data online with other researchers or - communities producing their music in their home countries - through collaborative tools like markers and comments. + \item \alert{Exchange} data online and \alert{collaborate} with other researchers or + communities producing their music in their home countries. \end{itemize} \item \textbf{Teaching}: Ressources for teachers in \emph{anthropology} or \emph{ethnomusicology} as it provides the students an access to @@ -301,20 +300,15 @@ \end{tcolorbox} \end{center} - - %\begin{columns}[T] %\begin{minipage}{0.34\linewidth} % \begin{column}{.36\linewidth} \hskip2ex \begin{beamerboxesrounded}[shadow=true, width=0.95\linewidth]{Functionality} \begin{itemize} - \item \alert{Do} asynchronous and fast audio processing with - Python. - \item \alert{Decode} ANY audio or video format into numpy arrays - thanks to Gstreamer. - \item \alert{Analyze} audio content with some external audio - feature extraction libraries. + \item \alert{Decode} ANY audio or video format into Python numpy arrays + with \raisebox{-.3\height}{\includegraphics[height=2cm]{img/misc/Gstreamer-logo.png}}. + \item \alert{Analyze} audio content through its own \alert{plugins API}%feature extraction libraries. \item \alert{Organize}, \alert{serialize} and \alert{save} analysis metadata through various formats. \item \alert{Draw} various waveforms, spectrograms and @@ -381,13 +375,13 @@ \begin{center} \begin{figure}[h] \centering - \includegraphics[width=0.75\linewidth]{img/results/IRIT_Speech4Hz.png} + \includegraphics[width=0.7\linewidth]{img/results/IRIT_Speech4Hz.png} \caption{Speech activity detection} \label{fig:TS_SAD} \end{figure} \begin{figure}[h] \centering - \includegraphics[width=0.75\linewidth]{img/results/SOLO_DUOdetection.png} + \includegraphics[width=0.7\linewidth]{img/results/SOLO_DUOdetection.png} \caption{Monody / polyphony detection} \label{fig:TS_Monopoly} \end{figure} @@ -423,10 +417,16 @@ \vspace{-1cm} \begin{multicols}{2}[] \begin{itemize} - \item \alert{Annotate} multimedia items by time segments supporting both free annotations and ontology-based annotations - \item Efficiently \alert{visualize} results from analysis from various data types together with X-Y zoom capability and audio synchronization by using state-of-the-art multimedia JavaScript libraries: \emph{D3.js}, JQueryUI and audio libraries from the Wave project (\url{http://wave.ircam.fr/}) - \item Design, manage and run analyses on large audio corpus and serialize the results through a REST web API with the TimeSide server - \item Increase the analysis functionality with various automatic analysis and annotation tools for speech, audio, Music Information Retrieval and ethnomusicology (DIADEMS project). + \item Enhance the audio player (Web audio API) + \item Provide a flexible user-interface with time-synchronized \alert{visualization} panels for \emph{audio, signal analysis and annotations}. + \item Enhance user interaction with \alert{X-Y zoom} and \alert{annotation} capabilities + %\item \alert{Annotate} multimedia items by time segments supporting both free annotations and ontology-based annotations + %\item Efficiently \alert{visualize} results from analysis from various data types together with X-Y zoom capability and audio synchronization by using state-of-the-art multimedia JavaScript libraries: \emph{D3.js}, JQueryUI and + \item Integrates WAVES.JS JavaScript library from the Wave project (\url{http://wave.ircam.fr/}) + \item Provide a REST web API (TimeSide server) to design, manage and run audio signal analysis on large audio corpus and serve the result over the web + \item Provide new audio analysis plugins + % \item Increase the analysis functionality with various automatic analysis and annotation tools for speech, audio, Music Information Retrieval and ethnomusicology (DIADEMS project). + \item Provide a collaborative workflow for users (define workgroups, share data and annotations, ...) \end{itemize} \end{multicols}