Automatic Content Recognition

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What Does Automatic Content Recognition Mean?

Automatic content recognition (ACR) is a technique used by an application (mostly a smartphone or tablet application) to identify a content element within a close distance. With the help of a source service, it compares and processes the sample by identifying the content by means of specific characteristics of image, audio or video. Using watermark technology or fingerprinting technology, ACR helps in dynamic and seamless interlinking of applications, content, devices and viewers.

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Techopedia Explains Automatic Content Recognition

Automatic content recognition provides smart devices with the capability to become "content aware." Applications are available in devices to help broadcasters in providing real-time information about different products. Automatic content recognition has a significant impact on real-time TV commerce and user interactivity.

Automatic content recognition has many benefits, including the following:

  • Second screen synchronization: Users can enhance their television viewing experience with the help of ACR. The synched second-screen applications can provide users with more information and targeted advertising.
  • Content verification: For broadcast media such as television or radio, there is no direct method to know what the audience is watching or listening to. Automatic content recognition takes care of this gap. It brings business benefits such as accurate pricing for advertisements and measurable promotional efforts, and it also makes decisions for creating smart content.
  • Content identification: Automatic content recognition helps in identifying the content based on sound or images without additional research for users. It can also provide additional information about the content. This can help users search easily for their favorite songs, forgotten melodies or shows.
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Margaret Rouse
Editor

Margaret jest nagradzaną technical writerką, nauczycielką i wykładowczynią. Jest znana z tego, że potrafi w prostych słowach pzybliżyć złożone pojęcia techniczne słuchaczom ze świata biznesu. Od dwudziestu lat jej definicje pojęć z dziedziny IT są publikowane przez Que w encyklopedii terminów technologicznych, a także cytowane w artykułach ukazujących się w New York Times, w magazynie Time, USA Today, ZDNet, a także w magazynach PC i Discovery. Margaret dołączyła do zespołu Techopedii w roku 2011. Margaret lubi pomagać znaleźć wspólny język specjalistom ze świata biznesu i IT. W swojej pracy, jak sama mówi, buduje mosty między tymi dwiema domenami, w ten…