NAB 2018: Square Box To Present Updates, Content Analysis Capabilities For CatDV App
Square Box Systems specializes in media asset management and production workflows. Its industry-leading CatDV application streamlines media file management, making it easier for content owners to repurpose and monetize their assets. At NAB 2018, Square Box will be showing new updates and content analysis capabilities for its CatDV app.
Square Box’s CatDV MAM Now Includes Expanded Support
At NAB 2018, Square Box Systems introduced several new enhancements geared to larger-scale enterprise deployments of its flagship CatDV media asset management (MAM) solution. These include expanded customization capabilities for tailored MAM workflows, new enhancements for cloud and hybrid installations, and expanded support for micro-services and distributed deployments.
“Our enterprise customers asked, and now we’ve delivered. With these latest enhancements, we’re offering more customization options than ever before for deploying completely tailored MAM workflows based on CatDV,” says Dave Clack, CEO, Square Box Systems. “And now, CatDV can operate seamlessly in hybrid IT environments consisting of both on-premise and cloud-based resources. This enables the transparent management and movement of assets for creative workers who prefer to focus on making compelling content rather than worry about NAS, SAN, cloud, or object storage tiers.”
CatDV’s new cloud/hybrid enhancements include integrations with file acceleration tools from Aspera, as well as extended support for AWS S3 archive, such as KMS encryption and Glacier support with configurable expedited restores. CatDV has also built an all-new AWS deployment template with proxy playback from S3. Additional enhancements include support for Backblaze B2 archive and Contigo object storage.
In addition, CatDV now includes the ability to deploy server plug-in components on separate servers. Examples include data movers for archive plug-ins such as Black Pearl, S3, Azure, and B2.
At NAB 2018, Square Box will preview a range of groundbreaking new content analysis capabilities for its flagship CatDV media asset management (MAM) solution, leveraging the latest artificial intelligence (AI) technology for speech recognition and image analysis.
“In today’s fast-paced media environments, more new content is being created than production teams can possibly keep up with. Also, time is running out for historical content in legacy, analog formats like tape to be digitized before the content degrades. But teams have no time to log and tag the assets so they can be found and reused easily,” says Clack. “AI is changing how media organizations meet these challenges, and — as usual — CatDV is at the forefront. Through our new partnerships with industry-leading providers, we’re leveraging AI capabilities that will transform media workflows and make it easier than ever for operations to access, manage, and archive tremendous volumes of content.”
CatDV will showcase rich, AI logging, tagging, and search capabilities based on the world’s leading image and video analysis platforms.
Through these integrations, CatDV will offer a range of advanced capabilities including:
• Speech-to-text, to automatically create transcripts and time-based metadata
• Place analysis, including identification of buildings and locations without using GPS tagged shots
• Object and scene detection (e.g., daytime shots or shots of specific animals)
• Sentiment analysis, for finding and retrieving all content that expresses a certain emotion or sentiment (e.g., “find me the happy shots”)
• Logo detection, to identify when certain brands appear in shots
• Text recognition, to enable text to be extracted from characters in video
• People recognition, for identifying people, including executives and celebrities
Square Box Systems will offer its clients a range of video and image analysis options from leading AI vendors and aggregators. Options will include the Veritone aiWARE platform of best-of-breed cognitive engines and applications, which offers the flexibility to be deployed in both cloud and hybrid on-premises and cloud environments.