視頻網(wǎng)絡(luò)分擔(dān)及布署

1、SME Member ofcompetitiveness cluster.RESONATE MP429, rue Hidalgo 75019 Paris France www.resonate-l10 years of experience in the development and roll out of multimedia systems for customers (software publishers, telecom operators, content production and institutions).lReferences : Orange Business Ser

2、vices, Orange Labs, Streamezzo, Envivio, Intertrust Technologies, Dimension Data, the European Parliament, eBay (R&D labs in Berlin), RTL, Institut National Audiovisuel, EMI Music, Nash Tec, Air France, Flybus, Veolia Airportl2 software products for video processing based services. for geolocation b

3、ased services.Company OverviewlLarge scale video processing for Content Publishing :Video on Demand (VoD), Internet TV, Smart TV and IPTV services.User generated video content (UGC) sharing services on Internet social networks.Ads and tutorials of products on Internet e-business platforms.Use Casesl

4、Large scale video processing for Data Analysis :Video surveillance and intelligent transportation systems. Video data mining and objects classification for efficient database indexing and images retrieval.Measurement of people or vehicle traffic, meteorological phenomenon etc.Use CaseslContent adapt

5、ation by transcodingmulti-screen : multiple device capabilities : screen sizes, decoding, buffering (computers, tv sets, smartphones and tablets)multi-network: multiple bandwidths and transport protocols.Key factors: video codecs (WMV, H.264, VP6 etc.), audio codecs (WMA, MP3, AAC etc.), transport c

6、ontainers (ASF, FLV, MP4, 3GP, MPEG TS or PS, HLS, Smooth Streaming, ADS etc.)Massive Video Content PublishinglContent personalizationInsertion of video ads, logo, pictures, graphics, time code and text.Cutting and stitching audio and video elementary stream segments,Multi-language audio streams, DR

7、M protection requiring on remultiplexing and encryption.Massive Video Content PublishinglCutting, stitching, extraction and recombination of elementary streams.lInsertion of pictures, graphics, text inside video. cut INOUTINOUTsplitcombinemergeconcatMassive Video Content PublishingEditing Capabiliti

8、eslUse case of video Ads insertionTSiTSj20 secsMP4HQ(infra INA)Input :TASK1a (cut+transcode)TASK1b (cut+transcode)TSkTSl10 secsFLV(local)TASK2 (cut+transcode)Output :MP4LQ(Cloud Amazon)TASK3 (concat)Massive Video Content PublishingEditing CapabilitieslTailored to the diversity of video surveillance

9、and data mining (“Big Data”) needsPlugins integration facilitiesSoftware development kit (SDK) for flexible integration of new algorithms from external developers,Dynamic linking of new plugins with no need to restart Medianate.Possible types of video plugins Facial and objects recognition,People or

10、 vehicle traffic measurement and classification etc.Persistence of output parameters by storage in Medianate database.lBenefits of the integration in Medianate for an analysis algorithmLarge scale deployment for analyzing huge volumes of content, Multi input video formats,Storage solution of output

11、results, Delivery : access to the video content after publishing (multi devices, multi networks), immediate seeking into critical video frames. Massive Video Content AnalysisTwo Trends in Massive processingl1 - File-to-file pre-processing for frequently viewed content.l2 - On Demand processing model

12、 to allow video delivery events such asDevice recognition, Dynamic ads insertion,Workflow optimization,Network aware delivery to request automatically processing of specific content. lIssues Processing data.Unpredictable high of processing loads. in presence of failures. : local, remote in LAN or WA

13、N, and in cloud storage infrastructures : seamless transition from inhouse to cloud infrastructures. and lSolutions implemented in Medianate Distribution of processing tasks amongst multiple . and architectures in every nodes (integration of GPU based nodes is ongoing ). stacks for input and output

14、: FTP, HTTP, CIFS, NFS and cloud storage infrastructures for Amazon S3, Azure Blob, Rackspace Cloud Files and Google Cloud Storage (Alibaba Cloud Computing OSS in China is ongoing). Management of with credentials and Media Home directory. : processing tasks are started automatically whenever video f

15、iles are arriving in pre-defined folders from remote locations.Optimizations for Large Scale ProcessingDeployment in All InfrastructuresHandling Multi-core and Multi-CPU in Nodes lGraph based mechanism is implemented in the Processing Node component lRESTful and SOAP web services APIAllows integrati

16、on of Medianate with external applications that will set and control processing tasks (start/stop/pause/resume/cancel/monitoring).Tested with PHP, Java, C# and C/C+. lMain featuresManagement of task presets (profiles) to configure set of task parameters reusable for repetitive use case (e.g. specifi

17、c device and network bandwith profile, same repetitive analysis etc.). Management of processing tasks : Create, start, stop, reset and monitor the tasksProvide technical information to the delivery platform : end point url, duration, image size, bitrates and sample rates. Management of User Accounts

18、 and the content of their media Home folder.Monitoring the state of every Processing Nodes for administrators of the platform.Management of Watched Folders. SOA IntegrationlAcquisition via license and yearly subscriptions and a . The number of Processing Nodes and their computing hardware units depends on th