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Automatic content recognition (ACR) is a technology used to identify content played on a media device or presented within a media file. Devices with ACR can allow for the collection of content consumption information automatically at the screen or speaker level itself, without any user-based input or search efforts.
ACRCloud (Formerly Syntec TV) is an automatic content recognition platform based on acoustic fingerprinting technology. Its creator intended to help media, broadcasters and app developers to identify, monitor and monetize content on the second screen.
Braina is a virtual assistant [1] [2] and speech-to-text dictation [3] application for Microsoft Windows developed by Brainasoft. [4] Braina uses natural language interface, [5] speech synthesis, and speech recognition technology [6] to interact with its users and allows them to use natural language sentences to perform various tasks on a computer.
Google Lens is an image recognition technology developed by Google, designed to bring up relevant information related to objects it identifies using visual analysis based on a neural network. [2] First announced during Google I/O 2017, [ 3 ] it was first provided as a standalone app, later being integrated into Google Camera but was reportedly ...
Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos.From the perspective of engineering, it seeks to automate tasks that the human visual system can do.
Video content analysis is a subset of computer vision and thereby of artificial intelligence. Two major academic benchmark initiatives are TRECVID, [23] which uses a small portion of i-LIDS video footage, and the PETS Benchmark Data. [24] They focus on functionalities such as tracking, left luggage detection and virtual fencing.
The AOL.com video experience serves up the best video content from AOL and around the web, curating informative and entertaining snackable videos.
Clarifai was founded in 2013 by Matthew Zeiler, a Ph.D. student who recently placed in the top 5 spots of the 2013 ImageNet Challenge. [1] [2] [3] Initially, the company offered free and paid versions of image and video recognition via their API and a consumer-facing iPhone app called Forevery.