| (Meta)data aggregation and management |
Consolidation and aggregation of data and metadata from multiple systems and processes into a central repository.
IBM Video Recommendations
Boosts audience engagement, loyalty, retention and revenue by delivering highly relevant videos.
IBM Video Recommendations
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Increase video views and video consumption by delivering relevant videos to users, increasing ad impressions and advertising revenue.
IBM Video Recommendations enables Clients to generate personalized video streams to web and mobile audiences on a one-to-one level, create custom business rules to control video programming, run campaigns for branded and sponsored content and track audience video consumption. It also provides clients with access to video metadata that has been extracted by IBM Video Analytics.
The service includes aspects like automated data structuring, enabling clients to extract and amplify video metadata. This AI-enriched metadata is then structured and used to build taxonomies that help drive the recommendations engine utilizing algorithms to surface recommended video assets to online audiences. The platform also has tools that publishers can use to create and manage custom business rules to control what content is recommended to audiences, and target users based on criteria like the content they are watching or where they are located.
A dashboard is also provided, tracking consumption along with content supply and demand analysis. It also provides tools to create custom business rules for targeted programming, and management tools to run sponsored campaigns.
IBM Video Recommendations enables Clients to generate personalized video streams to web and mobile audiences on a one-to-one level, create custom business rules to control video programming, run campaigns for branded and sponsored content and track audience video consumption. It also provides clients with access to video metadata that has been extracted by IBM Video Analytics.
The service includes aspects like automated data structuring, enabling clients to extract and amplify video metadata. This AI-enriched metadata is then structured and used to build taxonomies that help drive the recommendations engine utilizing algorithms to surface recommended video assets to online audiences. The platform also has tools that publishers can use to create and manage custom business rules to control what content is recommended to audiences, and target users based on criteria like the content they are watching or where they are located.
A dashboard is also provided, tracking consumption along with content supply and demand analysis. It also provides tools to create custom business rules for targeted programming, and management tools to run sponsored campaigns.
LTN Cue & Connect
Greater agility in optimizing and monetizing ad-supported distribution of linear TV channels
LTN Cue & Connect
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LTN® Cue & Connect are fully managed linear metadata solutions designed for today’s platforms and advertising demands. The IP-powered solutions simplify signal decoration for optimized ad signaling, targeted transformation, and greater monetization.
LTN Connect is an on-prem metadata insertion solution that deploys in existing broadcast environments. The solution tailors linear metadata decoration to conform to your specific workflow and requirements — with flawless interoperability. Connect features include advanced blackout management, content regionalization, graphic and audiotrack overlays, plus automated VOD file creation from linear programs.
LTN Cue is an in-network metadata insertion and video delivery solution. Cue simplifies channel management with advanced advertising and content replacement workflows to generate more metadata — and more revenue — without requiring additional hardware. Cue features include scalability to multiple SCTE 35 profiles, compatibility with any playout, facilitation of OTT platform advertising, and always-on NOC monitoring and support.
Transform the future of video with LTN Cue & Connect.
LTN Connect is an on-prem metadata insertion solution that deploys in existing broadcast environments. The solution tailors linear metadata decoration to conform to your specific workflow and requirements — with flawless interoperability. Connect features include advanced blackout management, content regionalization, graphic and audiotrack overlays, plus automated VOD file creation from linear programs.
LTN Cue is an in-network metadata insertion and video delivery solution. Cue simplifies channel management with advanced advertising and content replacement workflows to generate more metadata — and more revenue — without requiring additional hardware. Cue features include scalability to multiple SCTE 35 profiles, compatibility with any playout, facilitation of OTT platform advertising, and always-on NOC monitoring and support.
Transform the future of video with LTN Cue & Connect.
WO Analytics
Say hello to advanced business intelligence, purpose-built for broadcast media
WO Analytics
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WO Analytics provides business intelligence specific to the local TV and radio industries, consolidating all relevant data from both WideOrbit and third-party systems within a single analytics platform. A unified view across channels, markets, and platforms makes it simple for any user to analyze business performance, spot inefficiencies, and pinpoint new revenue opportunities.
- Built for Media: Pre-built media analytics solution that can be customized and deployed quickly
- Single Source of Truth: Combines relevant data, down to the spot level, from multiple WideOrbit and third-party sources into a single data lake
- Immediately Actionable Data: Access pre-built dashboards to help your organization analyze business performance, spot inefficiencies, and pinpoint new revenue opportunities
- Accessible and Flexible: Drill down and share data with just a few clicks from any device Seamlessly integrates with WideOrbit’s ad traffic management system, WO Traffic
Actus Rating Graphs and Competitive Analysis Collaboration
Rating and competitive analysis tools: interactive presentation of the rating data with the videos
Actus Rating Graphs and Competitive Analysis Collaboration
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Integrating Ratings into your Actus platform allows News and Programming to understand the relationship between ratings received and the content your and your competitor's stations are broadcasting
Efficient Actus ratings graphing and analysis tools provide a clear graphical view of ratings alongside the video broadcast on each channel that earned those ratings.
This is a great tool for News to work with graphics and talent and improve performance, as well as for sales to prepare Advertiser Sales Pitches perhaps researching demographic performance as it applies to them. The easy to read graphs are based on data received from rating and audience measurement companies such as Nielsen, Comscore, Kantar, IBOPE, TNS, AGB, BARC, GFKGallup and/or any others data source that relate to performance per channel over time.
The result is better program planning, ad placement, program scheduling and performance. This helps improve your ratings which can significantly increase revenues.
VSNExplorer MAM
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VSN’s Media Asset Management software, VSNExplorer MAM, offers all the necessary tools to manage the entire media life-cycle. Its GUI is based on HTML5, allowing users to manage media files within different storage units, also in the Cloud, and to access the platform from any browser and operating system. In addition, its highly scalable and open architecture enables the integration of VSNExplorer MAM with any software and hardware available in the market. This solution is available on-premise or in the Cloud, as pay-per-use in SaaS platforms such as Windows Azure, Amazon or Private Cloud. This model grants higher speed and more flexibility, reducing costs and time-to-market rates.
VSNExplorer MAM has also been integrated with the Artificial Intelligence systems of IBM, Google, Microsoft Azure and Etiqmedia for automatic metadata detection and content cataloging. This systems can also be “trained” (known as machine learning) to automatically detect informacion adapted to user’s needs, such as people first unknown to the system who will be automatically recognized from that moment on. Apart from facial recognition and objects analysis, thanks to AI systems VSNExplorer MAM can also perform advanced searches relying on metadata, automatic speech-to-text, translation and subtitling, advanced Cloud transcoding to different formats or even help on content moderation processes through the detection of sensitive or adult content, among others.
VSNExplorer MAM now includes Wedit, the web video editor integrated within VSNExplorer platform, to boost collaborative work and increase efficiency in media management and video editing through its cloud-based functionalities, whether assets are stored in deep archive, nearline or online files. 100% HTML5, Wedit allows journalists and editors to easily locate and edit media files within a single interface, without necessary changing to an NLE.
Main features:
- Open and scalable architecture: It easily integrates with existing or newly installed third-party systems, becoming the "orchestra conductor" of all workflows and ensuring a seamless transfer of files and information between systems. Its scalability allows the system to grow as the business grows, reducing the risk of quick replacement or obsolescence in the future.
- Ingest & Transcoding: VSNExplorer MAM organizes and manages all the media and content of a company, controlling all files from the ingest. Users can change the files' format (transcoding) depending on their needs and the system that they plan to use later, during the production, editing, delivery and broadcast or publishing of content.
- Advanced metadata structures: Create complex custom metadata structures, ideal for the most demanding needs in media cataloging and management. The hierarchy of areas and classes of metadata with inheritable properties allows for a totally versatile system, boosting collaborative work between several departments or multiple companies.
- Segment and layer cataloging: Segment cataloging allows for fast and easy access to relevant parts of a media file. This is specially useful for creating sport event highlights, press conferences, automatic transcriptions, quality check results, etc. Moreover, layer cataloging (strata logging), allows you to assign different thematic metadata layers (technical, documentation, marketing, etc.) to the same asset.
- Advanced content searches: For any media and broadcast company, it is essential to locate in a fast and easy way all its media assets. VSNExplorer MAM offers a tool for quick and advanced searching, which allows users to save time and to access any asset whenever is needed. You can also classify your content in different areas and add metadata layers depending on the type of asset.
- Thesaurus management: The correct integration and management of a thesaurus is essential for the archivists’ work. Create a list of standard terms for different usages to achieve terminological coherence when cataloging your content. In addition, the system allows for the validation of the proposed terms by the users depending on their permisssions.
Finally, VSNExplorer MAM is completely integrated with the main social media platforms, such as Facebook, YouTube and Twitter, allowing users to share content directly from their MAM interface, automatically converting media files into MP4 and completing the metadata required by these platforms with the metadata detected from each media file.
Latest product update (09/2020): The VSNExplorer platform has a new functionality for users to create dashboards from which to operate all the tools and functionalities of the system in a centralized way. Each user can create their own control and operation panels from the top menu of VSNExplorer and easily customize them by combining different widgets that allow to use and operate all the tools and functions of the VSNExplorer system from the panel itself and without having to open each one of them.
VSNExplorer MAM has also been integrated with the Artificial Intelligence systems of IBM, Google, Microsoft Azure and Etiqmedia for automatic metadata detection and content cataloging. This systems can also be “trained” (known as machine learning) to automatically detect informacion adapted to user’s needs, such as people first unknown to the system who will be automatically recognized from that moment on. Apart from facial recognition and objects analysis, thanks to AI systems VSNExplorer MAM can also perform advanced searches relying on metadata, automatic speech-to-text, translation and subtitling, advanced Cloud transcoding to different formats or even help on content moderation processes through the detection of sensitive or adult content, among others.
VSNExplorer MAM now includes Wedit, the web video editor integrated within VSNExplorer platform, to boost collaborative work and increase efficiency in media management and video editing through its cloud-based functionalities, whether assets are stored in deep archive, nearline or online files. 100% HTML5, Wedit allows journalists and editors to easily locate and edit media files within a single interface, without necessary changing to an NLE.
Main features:
- Open and scalable architecture: It easily integrates with existing or newly installed third-party systems, becoming the "orchestra conductor" of all workflows and ensuring a seamless transfer of files and information between systems. Its scalability allows the system to grow as the business grows, reducing the risk of quick replacement or obsolescence in the future.
- Ingest & Transcoding: VSNExplorer MAM organizes and manages all the media and content of a company, controlling all files from the ingest. Users can change the files' format (transcoding) depending on their needs and the system that they plan to use later, during the production, editing, delivery and broadcast or publishing of content.
- Advanced metadata structures: Create complex custom metadata structures, ideal for the most demanding needs in media cataloging and management. The hierarchy of areas and classes of metadata with inheritable properties allows for a totally versatile system, boosting collaborative work between several departments or multiple companies.
- Segment and layer cataloging: Segment cataloging allows for fast and easy access to relevant parts of a media file. This is specially useful for creating sport event highlights, press conferences, automatic transcriptions, quality check results, etc. Moreover, layer cataloging (strata logging), allows you to assign different thematic metadata layers (technical, documentation, marketing, etc.) to the same asset.
- Advanced content searches: For any media and broadcast company, it is essential to locate in a fast and easy way all its media assets. VSNExplorer MAM offers a tool for quick and advanced searching, which allows users to save time and to access any asset whenever is needed. You can also classify your content in different areas and add metadata layers depending on the type of asset.
- Thesaurus management: The correct integration and management of a thesaurus is essential for the archivists’ work. Create a list of standard terms for different usages to achieve terminological coherence when cataloging your content. In addition, the system allows for the validation of the proposed terms by the users depending on their permisssions.
Finally, VSNExplorer MAM is completely integrated with the main social media platforms, such as Facebook, YouTube and Twitter, allowing users to share content directly from their MAM interface, automatically converting media files into MP4 and completing the metadata required by these platforms with the metadata detected from each media file.
Latest product update (09/2020): The VSNExplorer platform has a new functionality for users to create dashboards from which to operate all the tools and functionalities of the system in a centralized way. Each user can create their own control and operation panels from the top menu of VSNExplorer and easily customize them by combining different widgets that allow to use and operate all the tools and functions of the VSNExplorer system from the panel itself and without having to open each one of them.
Tiger Bridge
Intelligent data management for on-premises and hybrid cloud workflows
Tiger Bridge
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Tiger Bridge is a non-proprietary, software-only data management solution that blends on-premises and multi-tier cloud storage into a single space and enables hybrid workflows. This human-friendly, transparent and seamless file server extension enables millions of Windows server users to benefit from cloud scale and services, while securely preserving legacy applications and workflows.
Tiger Bridge addresses a number of data management challenges including, but not limited to, File Server Extension, Disaster Recovery, Cloud Migration, Backup & Archive, Remote Collaboration and Multi-site Sync and Continuous Data Protection.
Meta
Meta is the Content Metadata Platform and API Gateway for the Media & Entertainment Industries.
Meta
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Meta enables customers to store identification, editorial, technical, rights, discovery and AI-generated content metadata for media and entertainment catalogues. It also stores additional metadata assets like images and videos that are required to complete a dynamic and compelling user experience.
Artificial Intelligence Tools
VSNExplorer platform integrates with top AI engines for automatic metadata detection and cataloging.
Artificial Intelligence Tools
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The VSNExplorer platform integrates via API with top Artificial Intelligence engines from companies like IBM Watson, Google Cloud, Microsoft Azure or AWS for automatic metadata detection and cataloguing. This way, media management becomes much more efficient, accurate and easy to control and monitor.
Main features:
Wide range of information: From the moment that a media file is ingested, users can automatically extract a great amount of data and information from the advanced image processing features (facial recognition, objects, places, organizations and logos), audio layers analysis (music, voice, speakers and audio effects), speech-to-text and automatic translation, Optical Character Recognition (OCR) or sentiment analysis or emotions' detection, among many others.
Automatic content cataloguing: Users can focus on content creation and news production, leaving the immediate cataloging of media to the its AI tools. They would only need to perform a quick control and validation of the metadata obtained, saving time and resources that can be reallocated. In addition, with AI they can obtain a higher volume of information, which is also more accurate and leads to a more precise and exhaustive categorization of content.
Advanced search functionalities: The volume of data generated from each media asset allows users to perform more accurate searches thanks to the big amount of options and parameters available. This way it is easier for users to adapt the search of content to their specific needs, reducing the number of results delivered by the system, which will only focus on those truly relevant to the user according to the keywords provided.
Quicker content creation: Thanks to the integration of Artificial Intelligence engines within VSNExplorer, it is now possible to automatically detect and retrieve specific video segments that comply with a set of given parameters and metadata, drag and drop these segments directly over VSNExplorer's web video editor, Wedit, and consolidate a final and already edited piece ready for broadcast, all without changing between windows.
Translation, captioning & subtitling: Subtitling process can now be automated thanks to language analysis, speech-to-text and automatic translation functionalities of AI-tools. These capabilities allow for the automatic translation and generation of captions in several languages of audio texts, delivering the corresponding text distributed by segment with mark-in and mark-out time codes.
Content moderation capabilities: Content moderation is sometimes mandatory depending on the legislation applied in the region where some specific content is being broadcasted. Sentiment recognition systems, image and objects analysis, and natural language analysis enable the automatic detection of sensitive or adult content, both within image and audio layers, so that they may be adapted or eliminated directly using a video editor like VSNExplorer's Wedit.
Main features:
Wide range of information: From the moment that a media file is ingested, users can automatically extract a great amount of data and information from the advanced image processing features (facial recognition, objects, places, organizations and logos), audio layers analysis (music, voice, speakers and audio effects), speech-to-text and automatic translation, Optical Character Recognition (OCR) or sentiment analysis or emotions' detection, among many others.
Automatic content cataloguing: Users can focus on content creation and news production, leaving the immediate cataloging of media to the its AI tools. They would only need to perform a quick control and validation of the metadata obtained, saving time and resources that can be reallocated. In addition, with AI they can obtain a higher volume of information, which is also more accurate and leads to a more precise and exhaustive categorization of content.
Advanced search functionalities: The volume of data generated from each media asset allows users to perform more accurate searches thanks to the big amount of options and parameters available. This way it is easier for users to adapt the search of content to their specific needs, reducing the number of results delivered by the system, which will only focus on those truly relevant to the user according to the keywords provided.
Quicker content creation: Thanks to the integration of Artificial Intelligence engines within VSNExplorer, it is now possible to automatically detect and retrieve specific video segments that comply with a set of given parameters and metadata, drag and drop these segments directly over VSNExplorer's web video editor, Wedit, and consolidate a final and already edited piece ready for broadcast, all without changing between windows.
Translation, captioning & subtitling: Subtitling process can now be automated thanks to language analysis, speech-to-text and automatic translation functionalities of AI-tools. These capabilities allow for the automatic translation and generation of captions in several languages of audio texts, delivering the corresponding text distributed by segment with mark-in and mark-out time codes.
Content moderation capabilities: Content moderation is sometimes mandatory depending on the legislation applied in the region where some specific content is being broadcasted. Sentiment recognition systems, image and objects analysis, and natural language analysis enable the automatic detection of sensitive or adult content, both within image and audio layers, so that they may be adapted or eliminated directly using a video editor like VSNExplorer's Wedit.
Pipe Bridge
PIPE Bridge is an interface system, which receives financial data and sends to Broadcast Graphics En
Pipe Bridge
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Benchmark’s PIPE|Bridge is an interface system, which receives financial data from agencies like Bloomberg/Reuters in realtime and pushes to broadcast graphics engines. The data will be stored in local database for while dumping to PIPE|Bridge database for processing. The product has different modules as explain below:
Pipe Failiover: Enables redundancy for Reuters / B-PIPE©data. It monitors the data feed and in case of Main feed failure, it switches to backup feed.
Pipe Feed Handler: The Feed Handler application is used to define and manage the securities (stock code), for which the realtime data is need . The Feed Handler service will pull the data from the data provider, and dump it to the database. The system enables smooth real-time data stream between the data provider and the database
Pipe History Archive: The history archive enables users to extract massive historical data of subscribed securities for processing and display them as graphs/Charts
Pipe History Scheduler: History scheduler ensures daily market data of each security Is captured on the database
Pipe Viz Updater: Viz updater, pushes security values to graphics & ticker engines on request by the systems.
Pipe RSS Feed : RSS module listens and process the RSS feeds and enable them to be displayed in the graphics engines
Etere Media Asset Management
Etere MAM orchestrates your end-to-end management of digital assets and metadata.
Etere Media Asset Management
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Etere MAM is a highly-effective digital content management solution that is designed specifically to streamline the process of ingest, index, storage and retrieval of digital assets. MAM is an end-to-end software solution created to fully optimize the value of your assets through a centralized management of digital content and associated metadata. Its effective implementation both increases operational efficiency and maximizes the return on investment of digital media. MAM simplifies the process of content management by streamlining the digital workflow, bringing media to the market faster and in multiple formats thus ensuring an exceptional and frame accurate content. MAM is an indispensable workflow orchestration that simplifies complex tasks across the entire media lifecycle.
Key Features
■Complete modular solutions that are able to manage the end-to-end media lifecycle including ingest, transcoding, content retrieval, metadata association and asset distribution
■Compatible with Nuance Dragon for automatic audio and file transcriptions
■Automated content processing that is able to detect new content assets
■Automated Ingest followed by effective and integrated QC workflows
■Connects to Wowza for live and VOD content
■Generation of multiformat, multipurpose files for delivery to multiple platforms
■Connects with Etere Browsing to support the streaming of VC-1 codecs
■Rights structure to protect intellectual property including digital watermarking
■Etere Nunzio Newsroom integration for real-time access to media content(MOS compliant)
■Etere HSM integration to transfer files between near-line, libraries and playout servers
■Compliant with FFV1 Format
Key Features
■Complete modular solutions that are able to manage the end-to-end media lifecycle including ingest, transcoding, content retrieval, metadata association and asset distribution
■Compatible with Nuance Dragon for automatic audio and file transcriptions
■Automated content processing that is able to detect new content assets
■Automated Ingest followed by effective and integrated QC workflows
■Connects to Wowza for live and VOD content
■Generation of multiformat, multipurpose files for delivery to multiple platforms
■Connects with Etere Browsing to support the streaming of VC-1 codecs
■Rights structure to protect intellectual property including digital watermarking
■Etere Nunzio Newsroom integration for real-time access to media content(MOS compliant)
■Etere HSM integration to transfer files between near-line, libraries and playout servers
■Compliant with FFV1 Format
Strawberry
An application and storage agnostic PAM that saves companies time and capacity on editing projects.
Strawberry
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Strawberry is an award-winning Production Asset Management Suite (PAM), designed to keep productions organized and collaboration flexible. Strawberry solves key storage and workflow management issues that plague every media production house. For a PAM to be effective, it must integrate tightly with key creative applications, accelerate production workflows, and manage the underlying production storage. Strawberry does this and more, so that you can utilize your creative talent more effectively. Its unique approach balances the needs of the technical team and creative team for producing content seamlessly. If you have tired of constantly adding storage and see that a smarter workflow is the solution, have a closer look.
BitSave v.2
AI technology for fast & low complexity precoding with significant bitrate savings.
BitSave v.2
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LIGHTNING FAST
CODEC INDEPENDENT
SUPERIOR QUALITY
SUBSTANTIALLY CHEAPER
SUSTAINABLE
BitSave enables sustainability with significant computational and energy efficiency, datacenter cost reduction, prolonging battery life for resource-constrained devices (drones, action-cams, smartphones).
BitSave v.2 is the next generation AI technology offered by iSIZE Technologies for fast and low complexity precoding with significant bitrate savings. Available both as a SaaS platform at bitsave.tech and for on- premise use as a “bolt-on” solution on top of any standard or proprietary video codec.
LIGHTNING FAST
Precode and Encode videos up to 500% faster than other encoding services. Save time and reduce your cloud energy footprint
CODEC INDEPENDENT
BitSave technology is compatible with any codec, including AVC, HEVC, VP9, AV1, and even the upcoming AV2 and VVC, with increased gains in bitrate and quality offered for newer standards
SUPERIOR QUALITY
Reach ultimate video quality for resolutions up to 8K. Reduce streaming bandwidth by as much as 40%
SUBSTANTIALLY CHEAPER
Less than $5 per hour of content for all resolutions up to 4K – up to 50% cheaper than the most competitive solutions
SUSTAINABLE
BitSave enables sustainability with significant computational and energy efficiency, datacenter cost reduction, prolonging battery life for resource-constrained devices (drones, action-cams, smartphones).
