Methods, apparatus, systems and articles of manufacture to measure exposure to streaming media are disclosed. An example apparatus includes a video retriever to retrieve an image displayed by a media device presenting the streaming media, the media device separate from the video retriever. A metadata extractor is to extract a video watermark from the retrieved image. A metadata converter is to, in response to the extraction of the video watermark, convert the video watermark into text formatted metadata. A transmitter is to transmit the text formatted metadata to a central facility.

Methods, apparatus, systems and articles of manufacture to measure exposure to streaming media are disclosed. An example apparatus includes a video retriever to retrieve an image displayed by a media device presenting the streaming media, the media device separate from the video retriever. A metadata extractor is to extract a video watermark from the retrieved image. A metadata converter is to, in response to the extraction of the video watermark, convert the video watermark into text formatted metadata. A transmitter is to transmit the text formatted metadata to a central facility.

A system and method for generating personalized multimedia content element clusters. The method includes determining, based on at least one interest, at least one personalized concept, wherein each personalized concept represents one of the at least one user interest; obtaining at least one multimedia content element related to a user; generating at least one signature for the at least one multimedia content element, each generated signature representing at least a portion of the at least one multimedia content element; determining, based on the generated at least one signature, at least one multimedia content element cluster, wherein each cluster includes a plurality of multimedia content elements sharing a common concept of the at least one personalized concept; and creating at least one personalized multimedia content element cluster by adding, to each determined cluster, at least one of the at least one multimedia content element sharing the common concept of the cluster.

A system and method for generating personalized multimedia content element clusters. The method includes determining, based on at least one interest, at least one personalized concept, wherein each personalized concept represents one of the at least one user interest; obtaining at least one multimedia content element related to a user; generating at least one signature for the at least one multimedia content element, each generated signature representing at least a portion of the at least one multimedia content element; determining, based on the generated at least one signature, at least one multimedia content element cluster, wherein each cluster includes a plurality of multimedia content elements sharing a common concept of the at least one personalized concept; and creating at least one personalized multimedia content element cluster by adding, to each determined cluster, at least one of the at least one multimedia content element sharing the common concept of the cluster.

Methods and apparatus to detect commercial advertisements associated with media presentations are disclosed. An example method involves receiving a video frame and detecting a change in box-formatting between the video frame and a subsequent video frame. A transition between the video frame and the subsequent video frame is indicated as a commercial advertisement transition based on the detected change in box-formatting.

Methods and apparatus to detect commercial advertisements associated with media presentations are disclosed. An example method involves receiving a video frame and detecting a change in box-formatting between the video frame and a subsequent video frame. A transition between the video frame and the subsequent video frame is indicated as a commercial advertisement transition based on the detected change in box-formatting.

A system and method for detecting one or more advertisements broadcast on a channel in real time includes a step of extracting a first set of audio fingerprints and a first set of video fingerprints. The first set of audio fingerprints and the first set of video fingerprints correspond to a media content broadcast on the channel. The method also includes a step of generating a set of digital signature values. The set of digital signature values corresponds to an extracted set of video fingerprints. The method also includes a step of detecting the one or more advertisements broadcast on the channel with the processor. The first set of video fingerprints and the audio fingerprints is extracted sequentially in the real time.

Provided are an artificial intelligence (AI) system that simulates functions of a human brain such as recognition and judgment by utilizing a machine learning algorithm such as deep learning, etc. and an application of the AI system. A computing apparatus is disclosed. A computing apparatus comprises a memory storing instructions and a processor executing the instructions in the memory to obtain a keyword corresponding to a broadcast channel from a speech signal included in a broadcast signal received through the broadcast channel, determine a relation between genre information of the broadcast channel obtained from metadata about the broadcast channel and the obtained keyword and determine a genre of the broadcast channel based on the genre information obtained from the metadata or by analyzing an image signal included in the broadcast signal, according to the determined relation.

A method for obtaining television rating points for television channels is proposed. A television is used to periodically capture an image of part of a frame that is currently displayed thereby, where the image thus captured contains a channel logo contained in the part of the frame. The television determines whether the channel logo contained in the image matches any one of multiple predefined channel logos. If affirmative, the television transmits identification information that indicates a television channel corresponding to the matched one of the predefined channel logos to a server for subsequent computation of television rating points.

Apparatus, systems, articles of manufacture, and methods to identify media using watermarks and signatures are disclosed. An example apparatus includes at least one memory, instructions, and processor circuitry to execute the instructions to: determine a first time and a category indicated by a watermark detected in the media, determine a search window based on the first time indicated by the watermark, the search window to at least one of (i) extend a first duration of time before the first time indicated by the watermark or (ii) extend a second duration of time after the first time indicated by the watermark, and compare (i) a query signature associated with a second time within the search window with (ii) a subset of reference signatures associated with the category to identify the media, the query signature generated from the media, the subset of reference signatures generated from reference media associated with the category.