Methods, apparatus, systems and articles of manufacture are disclosed to monitor a split screen media presentation. Example apparatus disclosed herein are to generate one or more video signatures associated with video output from a media device and determine whether the one or more video signatures correspond to first media identified based on audio output from the media device. Disclosed example apparatus are also to, in response to a determination that the one or more generated video signatures do not correspond to the first media, determine that the video corresponds to a split-screen presentation having a plurality of regions-of-interest, and identify a first one of the regions-of-interest of the split-screen presentation that includes the first media.

An ad in a movie can be a static ad having a position in the movie that cannot be moved, or a dynamic ad having a position in the movie that can be changed. When a viewer wishes to skip a portion of the movie containing the ad, the playback system determines whether the ad is static or dynamic. If the ad is static, only the portion of the movie preceding the static ad can be skipped; the ad is unskippable. This technique is referred to as “bounceback” since the end of the skip bounces back to the start of the static ad. If the ad is dynamic, it is moved to after the end of the skip. This technique is referred to as “slip-ad” since the ad slips to later in the movie. When a movie has multiple ads, some can be static and some can be dynamic.

An ad in a movie can be a static ad having a position in the movie that cannot be moved, or a dynamic ad having a position in the movie that can be changed. When a viewer wishes to skip a portion of the movie containing the ad, the playback system determines whether the ad is static or dynamic. If the ad is static, only the portion of the movie preceding the static ad can be skipped; the ad is unskippable. This technique is referred to as “bounceback” since the end of the skip bounces back to the start of the static ad. If the ad is dynamic, it is moved to after the end of the skip. This technique is referred to as “slip-ad” since the ad slips to later in the movie. When a movie has multiple ads, some can be static and some can be dynamic.

Disclosed are a method for recognizing an image by an electronic device and a configuration of the electronic device for same. The method for recognizing an image by an electronic device of the present disclosure comprises the steps of: capturing an image of content; acquiring, form a server, content recognition information matching a recognized text by recognizing the text from a text area, if the text area is identified in the captured image, and acquiring, from the server, content recognition information matching an extracted fingerprint by extracting the fingerprint from the captured image, if the text area is not identified in the captured image; and storing at least one of the content recognition information matching the acquired text and the content recognition information matching the fingerprint.

Methods, apparatus, systems and articles of manufacture are disclosed selectively generating and storing hashed reference signatures. An example method disclosed herein determining whether watermark coverage of a first media segment satisfies a dropout constraint, the first media segment corresponding to a first monitoring time interval of a media source feed and, when the watermark coverage of the first media segment does not satisfy the dropout constraint hashing first media signatures associated with the first media segment to generate corresponding first hashed signatures and generating first reference data for the first media segment, the first reference data including the first hashed signatures and the first media signatures. The example method further includes, when the watermark coverage of the first media segment satisfies the dropout constraint, generating second reference data for the first media segment, the second reference data including the first media signatures.

Methods, apparatus, systems and articles of manufacture are disclosed selectively generating and storing hashed reference signatures. An example method disclosed herein determining whether watermark coverage of a first media segment satisfies a dropout constraint, the first media segment corresponding to a first monitoring time interval of a media source feed and, when the watermark coverage of the first media segment does not satisfy the dropout constraint hashing first media signatures associated with the first media segment to generate corresponding first hashed signatures and generating first reference data for the first media segment, the first reference data including the first hashed signatures and the first media signatures. The example method further includes, when the watermark coverage of the first media segment satisfies the dropout constraint, generating second reference data for the first media segment, the second reference data including the first media signatures.

An estimation device includes: an obtainer that obtains first content associated with a first time and second content associated with a second time, the second time preceding the first time by a predetermined amount of time; a determiner that, by applying first processing for determining a type of content to each of the first content and the second content, obtains first type information indicating a type of the first content and second type information indicating a type of the second content; a calculator that, using the first type information and the second type information, calculates confidence level information indicating a confidence level of the first type information; and an outputter that, using the confidence level information calculated by the calculator, outputs specifying information specifying the type of the first content derived from the first type information.

Methods, apparatus, systems and articles of manufacture are disclosed to monitor a split screen media presentation. Example apparatus includes means for processing audio output from a media device to determine audio metering data to identify first media presented by the media device, means for generating one or more video signatures associated with video output from the media device, and means for identifying a first region-of-interest of a split screen presentation of the media device including the first media, the means for identifying to identify the first region-of-interest in response to a determination that the one or more generated video signatures do not match reference video signatures corresponding to the first media.

Methods, apparatus, systems and articles of manufacture are disclosed to monitor a split screen media presentation. Example apparatus includes means for processing audio output from a media device to determine audio metering data to identify first media presented by the media device, means for generating one or more video signatures associated with video output from the media device, and means for identifying a first region-of-interest of a split screen presentation of the media device including the first media, the means for identifying to identify the first region-of-interest in response to a determination that the one or more generated video signatures do not match reference video signatures corresponding to the first media.

A method and system for identifying social trends are provided. The method includes collecting multimedia content from a plurality of data sources; gathering environmental variables related to the collected multimedia content; extracting visual elements from the collected multimedia content; generating at least one signature for each extracted visual element; generating at least one cluster of visual elements by clustering at least similar signatures generated for the extracted visual elements; correlating environmental variables related to visual elements in the at least one cluster; determining at least one social trend by associating the correlated environmental variables with the at least one cluster.