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Why Medianate ?

At the front of software-defined-video (SDV) processing technologies state-of-art, Medianate is a large scale triple video processing platform for:

  • Transcoding to bring video to any device and network anytime at once, Analysis for big video data searching and video surveillance purposes, Just-in-time editing for new content production such as video ads insertion just before the delivery.

  • Medianate target customers are over-the-top (OTT) video-on-demand (VoD) service providers, video content delivery networks (CDN) to optimize their delivery of video content to end users on Internet, telecommunication operators and video surveillance operators.

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Transcoding


Multiscreen viewing

Video transcoding seemingly countless times into different formats to distribute large types of files over various networks to a wide sort of devices

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Analysis


Big Video Data

Analysis of huge volume of video content tailored to the needs of video surveillance, intelligent transportation services and VoD services searching functionality.

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Just-in-time Editing


Additional Content Insertion

Dynamic insertion of graphics, text, metadata and third party video content (pre-roll, mid-roll and post-roll) in the original content at the delivery step.

Benefits

  • Expertise of the twelve-years-old company in development and roll out of multimedia systems for customers such as software publishers, telecommunications operators, content producers and institutions.

  • Combined editing and protection with transcoding: cutting, stitching, extraction and recombination of elementary streams are coupled with pure transcoding, and also with DRM packaging and optional watermarking for content traceability.

  • Personalization of additional content insertion:
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  • Plug-in architecture for video analysis: Third-party developers of image analysis algorithms can leverage their work by integrating it in MEDIANATE as plugin thanks to the MEDIANATE data flow architecture. They take immediately benefits of MEDIANATE for processing huge volume of video content.
    Dedicated API and SDK allow to easily build plugins that can request MEDIANATE nodes to extract thumbnails and analysis output results for individual frames or entire video streams. All output resultsare stored and managed for future search purpose. All plugins are dynamically taken into account by all distributed MEDIANATE processing nodes with no need of reinitialization.

  • High volume data processing:

    Distribution of processing tasks among multiple cooperating computing nodes.

    Handling multi core and multi CPU architectures in every nodes.

    Centralized tasks scheduling and distributed processing.

  • Watched Folders mechanism: A set of predefined folders with associated processing parameters can be set up so that all video files are automatically processed whenever they are arriving in these folders from remote locations

  • Auto-scalability: Implementation of specific algorithms to massively balance and distribute processing loads in order to handle multiple computing nodes and multi CPU architectures.

  • Distributed data among LAN, WAN and cloud storage infrastructures: Implementation of multiple network access stacks: FTP, HTTP, CIFS, NFS and cloud storage infrastructures for Amazon S3, Azure Blob, Rackspace Cloud Files, Google Cloud Storage and Google YouTube. Alibaba Cloud Computing OSS for China specificity is on going.

  • SOAP and RESTful web services API allows the integration of Medianate with other components of existing workflow including content management (CMS) and monetization systems. External applications can send requests to create, update and manage user accounts, presets profiles and processing tasks.

  • Medianate can be deployed in seamless transition from an inhouse solution to a private and public cloud solution:

    Inhouse or Private Cloud: deployed in single appliance, cluster of servers or private cloud infrastructure and operated by corporate IT services.

    Public cloud: wholly or partially used as software-as-a-service after deployment in public cloud infrastructure.

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  • Management:

    History of the whole activity with performance statistic reports extraction.

    Dashboard user interface is a web application that is fully client of the Medianate web services API. It provides views of user accounts, processing nodes, watched folders, presets profiles, tasks and input/output media files.

    Privacy and security with user accounts and credentials with protected media home repositories.