Automatic Content Recognition

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
Technology Expert

Margaret is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages.