Content Identification (ACR, watermarking) News

Verance Watermarking completes field trials on LG TVs
Jan 3, 2018 – Verance has announced that Verance Aspect, selected as a foundational component of the ATSC 3.0 transmission standard, has expanded to smart TV manufacturers with LG becoming the first to complete initial field tests.
News categories: Verance, LG, Nil Shah, Eric Anderson, ATSC 3, Content Identification, Digital TV, Smart TV, Terrestrial, USA

MediaTek SoCs first with Verance Watermarking for ATSC 3.0
Dec 19, 2017 – Verance has announced that MediaTek has become the first SoC provider to complete evaluation tests of Verance Aspect, selected by the Advanced Television Systems Committee as an essential component of the Next Gen TV transmission standard (ATSC 3.0).
News categories: Verance, MediaTek, Nil Shah, Eric Anderson, ATSC 3, CES2025, Content Identification, Digital TV, Semiconductor, Set Top Box, Smart TV, USA

Nielsen Marketing Cloud enhanced with Gracenote Smart TV data
Oct 31, 2017 – Nielsen (NYSE: NLSN) has announced that it will use Gracenote’s Real-Time Smart TV Data to enhance the audience targeting, consumer analytics and measurement capabilities of Nielsen Marketing Cloud’s Data Management Platform (Nielsen DMP).
News categories: Nielsen, Kelly Abcarian, Damian Garbaccio, Advertising, Big Data, Content Identification, Digital TV, Smart TV, USA

Connekt and Ensequence to use Gracenote's Video Automatic Content Recognition
Sep 19, 2017 – Gracenote (NYSE: NLSN) has announced that it has inked deals with Connekt and Ensequence to use Gracenote’s Video Automatic Content Recognition (ACR) technology to bring new interactive capabilities to linear TV ads and other programming.
News categories: Gracenote, Connekt, Ensequence, Kelly Abcarian, Advertising, Big Data, Content Identification, Digital TV, Smart TV, Worldwide

Verance Automatic Content Recognition recommended for ATSC 3.0 standard
Apr 6, 2015 – Verance has announced that the ATSC TG3/S33 Specialist Group on Management and Protocols has recommended its VP1 Automatic Content Recognition (ACR) technology for the ATSC 3.0 next-generation DTT broadcasting standard.
News categories: Verance, Cox Media, Advanced Television Systems Committee, Nil Shah, Joe Winograd, Dave Siegler, Content Identification, Digital TV, Middleware, NABShow, Terrestrial, USA

LG Electronics selects Cognitive Networks to enable enhanced TV capabilities on Smart TVs
Aug 28, 2013 – Cognitive Networks, a provider of real-time data services that power Enhanced TV on Smart TVs, has announced that LG Electronics will be the first to integrate Cognitive Networks' real-time data service on its Smart TV platform.
News categories: LG Electronics, Cognitive Networks, Apps, Content Identification, Middleware, Smart TV

Civolution and Broadcom make Automatic Advertisement Recognition available for Set-top Boxes
Apr 9, 2013 – Civolution has announced the integration of its Automatic Content Recognition (ACR) technology with STB chipsets from Broadcom. ACR includes, for example, the automatic recognition of broadcast advertisements, thereby enabling companies to trigger synchronized and interactive calls-to-action on the TV screen.
News categories: Civolution, Broadcom, Content Identification, Digital TV, Middleware, NABShow, Semiconductor, Set Top Box

Civolution Presents Next Generation Multi-Platform Media Applications at IBC 2012
Jul 31, 2012 – Civolution has announced that it will unveil a new and enhanced line-up across its digital watermarking and fingerprinting technology solutions portfolio at IBC 2012.
News categories: Civolution, Content Identification, Content Protection, IBCShow, Watermarking

Softel MediaSphere™ Bridge Enables Broadcasters/Operators To Own the Second Screen Experience
May 10, 2012 – Softel has announced MediaSphere™ Bridge, a solution for two-screen interactive television. Unlike Automated Content Recognition-based systems, MediaSphere Bridge uses in-broadcast triggers to link the television and second screen experience.
News categories: Softel, Content Distribution, Content Identification, Tablet