Lecture data Acquisition process at CERN 2 nd InDiCo meeting 30 August 2002 CERN, Geneva Hector Sanchez SanMartin ETT - DH

Hector Sanchez 30 August CERN2 Contents Introduction Lecture data Acquisition process InDiCo related

Hector Sanchez 30 August CERN3 Introduction CERN as Lecture Producer CERN as Lecture Consumer Series of lectures: ACAD, SSL, … Technical training courses: computing, engineering, … Projects & experiments: GRID, LHC, … Large user community spread over the world Multi-disciplinary Historical lectures: Nobel prize lectures, … Need of a system for capturing and delivering lecture data to the community through the Internet

Hector Sanchez 30 August CERN4 Lecture data Metadata Audio/Video Transparencies Timing Additional material speaker, title, place, time,… [instant-duration-transparency] Other bibliography, speaker contributions,… Agenda record Original document Graphic files Text file Agenda record CERN RealMedia file Video tape

Hector Sanchez 30 August CERN5 Lecture data: desired properties Survive to software life-cycles (non-proprietary) Portability & scalability Fast availability Deliverable through the Internet Low cost in the acquisition and production Maintainability Multi-platform and multi-format delivery

Hector Sanchez 30 August CERN6 Acquisition process: Overview Agenda DB METADATA Doc ORIGINAL TRANSPARENCY DOCUMENTS Webcast MULTIMEDIA Lecture Repository Library eBulletin Webcast site Conference sites … Agenda Maker lecture metadata Encoder Lecture Launcher Lecture Producer Multimedia generators video SMIL SyncOMat timing documents edited material operator producer organizer speaker

Hector Sanchez 30 August CERN7 Acquisition process: Workflow organizer Agenda Maker 1: set up talk Agenda DB speaker video service 1.2: notification 1.1: Lecture metadata Encoder operator Webcast 2: start encoding Doc speaker Lecture Launcher 3: start timing 4: stop encoding 4.1: video 5: stop timing 4.2: link to video 5.1: timing 5.3: link to document Lecture Producer producer 6.1: timing video 6: get lecture data7: production finished SMIL generator 7.2: create SMIL 7.1: timing video slides 7.2.1: SMIL 7.2.2: link to SMIL 5.2: transparency document 6.2: document Before the lecture When the lecture starts When the lecture finishes After the lecture

Hector Sanchez 30 August CERN8 Acquisition process: Benefits Additional Agenda services provided Easy to deal with and transparent to users Low cost process Almost immediate availability: ~5 min after the lecture Autonomous and distributed process Low cost maintenance for sites containing Agenda lectures Scalable & “portable” archive Possibility to extend the services on top of the “Raw” data “Raw” data can be mirrored very easily and then run the platform-dependant services on top of it Dynamic generation from the Agenda

Hector Sanchez 30 August CERN9 Acquisition process: Unsolved issues Long-term archive? Need of choosing better formats for the “raw” data Portability of the lecture data/metadata? Need to access the Agenda DB  XML+OAI SMIL generated is Real-dependant  Pure W3C SMIL 2.0 Hard scenarios still to be improved Lectures using blackboard or hardcopy slides Video vs. Multimedia delivery Bandwidth considerations Institution independent solution

Hector Sanchez 30 August CERN10 Acquisition process: Video capture Normal scenario: CERN’s Main Auditorium “controlled” light & sound conditions Audio: micro for the speaker & for the audience Video: some analog cameras Video tapes: BetaCam, VHS On-the-fly encoding using RealProducer (RealMedia) Production: on-site mixing speaker audience slides mixer audio video2 video1 video3 BetaCAM VHS RealProducer

Hector Sanchez 30 August CERN11 InDiCo related: Video for Analysis Creation of MPEG2 files (VOB) from Beta tapes Heavy and manual process Will improve it: DVD recorder, MPEG card,…?? File interchange ?? Possible improvement on the source capture devices Video content Audio: 2 micro ?? Video: digital cameras ?? speaker face speaker+transparencies speaker+transparencies+detail Speaker && transparencies

Hector Sanchez 30 August CERN12 InDiCo related: Capture process No mention to the capture process in InDiCo URs Proposal: Taking advantage of CERN experience to include it Is it inside the scope of the project? Capturing is very institution (hw) dependant, but a “framework” tool could be provided as optional part of MaC (Lecture Launcher?) MaC Capturing module video capture plug-ins timing capture plug-ins other capture plug-ins