Abstract: A content device and method is disclosed to include a processing device to process streaming video content. A fingerprinter receives captured frames of the streaming video content and, for each frame of a plurality of the captured frames, generates a one-dimensional histogram function of pixel values and transforms the histogram function with a Fast Fourier Transform (FFT), to generate a plurality of complex values for the frame. The fingerprinter further, for each of the plurality of complex values, assigns a binary one (“1”) when a real part of the complex value is greater than zero (“0”) and assigns a binary zero (“0”) when the real part is less than or equal to zero, to generate a plurality of bits. The fingerprinter further concatenates a specific number of the bits to generate a fingerprint for the frame.

Abstract: A method for scene frame matching for automatic content recognition. The method includes receiving fingerprints indicative of frames of a media stream. The method also includes obtaining scene centroids of corresponding scenes of the media stream. Each scene includes fingerprints ranging from an initial frame having a corresponding initial fingerprint and a last frame having a corresponding last fingerprint. Each scene centroid represents a mean of fingerprints corresponding to a respective scene. The mean of fingerprints is determined by an average of pixel values corresponding to the fingerprints of the respective scene. For each scene centroid, the method includes determining a distance between the respective scene centroid and a target fingerprint of a corresponding target frame of the media stream and determining a target scene of the target frame as being the respective scene of the scene centroid having a shortest distance to the target fingerprint of the target frame.

Abstract: A method for flagging advertisement frames for automatic content recognition is provided. The method includes receiving broadcast fingerprints indicative of broadcast frames of a media stream comprising a series of broadcast scenes. The method also includes receiving advertisement fingerprints indicative of ad frames of ad scenes. The method further includes determining a scene change between a first broadcast scene and a second broadcast scene. The scene change is based on a Pearson correlation coefficient between an initial broadcast fingerprint of an initial broadcast frame of the second broadcast scene and a last broadcast fingerprint of a last broadcast frame of the first broadcast scene. The method also further includes determining whether the second broadcast scene is one of the ad scenes. When the second broadcast scene is one of the ad scenes, the method associates an identification of the second broadcast scene as the one of the ad scenes.

Abstract: A content device and method is disclosed to include a processing device to process streaming video content. A fingerprinter receives captured frames of the streaming video content and, for each frame of a plurality of the captured frames, generates a one-dimensional histogram function of pixel values and transforms the histogram function with a Fast Fourier Transform (FFT), to generate a plurality of complex values for the frame. The fingerprinter further, for each of the plurality of complex values, assigns a binary one (“1”) when a real part of the complex value is greater than zero (“0”) and assigns a binary zero (“0”) when the real part is less than or equal to zero, to generate a plurality of bits. The fingerprinter further concatenates a specific number of the bits to generate a fingerprint for the frame.

Abstract: A method for scene frame matching for automatic content recognition. The method includes receiving fingerprints indicative of frames of a media stream. The method also includes obtaining scene centroids of corresponding scenes of the media stream. Each scene includes fingerprints ranging from an initial frame having a corresponding initial fingerprint and a last frame having a corresponding last fingerprint. Each scene centroid represents a mean of fingerprints corresponding to a respective scene. The mean of fingerprints is determined by an average of pixel values corresponding to the fingerprints of the respective scene. For each scene centroid, the method includes determining a distance between the respective scene centroid and a target fingerprint of a corresponding target frame of the media stream and determining a target scene of the target frame as being the respective scene of the scene centroid having a shortest distance to the target fingerprint of the target frame.

Abstract: A method is disclosed for identifying the media content. The method includes receiving fingerprint media content from a content provider to obtain a first set of fingerprints, the first set of fingerprints including a first subset of fingerprints in a first fingerprint layout and a second subset of fingerprints in a second fingerprint layout. The method can include receiving a second set of fingerprints for media content displayed on the electronic device, the second set of fingerprints comprising a third subset of fingerprints in the first fingerprint layout and a fourth subset of fingerprints in the second fingerprint layout. The method can include matching a first fingerprint in the first subset of fingerprints to a second fingerprint in the third subset of fingerprints or a third fingerprint in the second subset of fingerprints to a fourth fingerprint in the fourth subset of fingerprints in order to identify the media content.

Abstract: A method for flagging advertisement frames for automatic content recognition is provided. The method includes receiving broadcast fingerprints indicative of broadcast frames of a media stream comprising a series of broadcast scenes. The method also includes receiving advertisement fingerprints indicative of ad frames of ad scenes. The method further includes determining a scene change between a first broadcast scene and a second broadcast scene. The scene change is based on a Pearson correlation coefficient between an initial broadcast fingerprint of an initial broadcast frame of the second broadcast scene and a last broadcast fingerprint of a last broadcast frame of the first broadcast scene. The method also further includes determining whether the second broadcast scene is one of the ad scenes. When the second broadcast scene is one of the ad scenes, the method associates an identification of the second broadcast scene as the one of the ad scenes.

Abstract: A method for scene frame matching for automatic content recognition. The method includes receiving fingerprints indicative of frames of a media stream. The method also includes obtaining scene centroids of corresponding scenes of the media stream. Each scene includes fingerprints ranging from an initial frame having a corresponding initial fingerprint and a last frame having a corresponding last fingerprint. Each scene centroid represents a mean of fingerprints corresponding to a respective scene. The mean of fingerprints is determined by an average of pixel values corresponding to the fingerprints of the respective scene. For each scene centroid, the method includes determining a distance between the respective scene centroid and a target fingerprint of a corresponding target frame of the media stream and determining a target scene of the target frame as being the respective scene of the scene centroid having a shortest distance to the target fingerprint of the target frame.

Abstract: A method is disclosed for identifying the media content. The method includes receiving fingerprint media content from a content provider to obtain a first set of fingerprints, the first set of fingerprints including a first subset of fingerprints in a first fingerprint layout and a second subset of fingerprints in a second fingerprint layout. The method can include receiving a second set of fingerprints for media content displayed on the electronic device, the second set of fingerprints comprising a third subset of fingerprints in the first fingerprint layout and a fourth subset of fingerprints in the second fingerprint layout. The method can include matching a first fingerprint in the first subset of fingerprints to a second fingerprint in the third subset of fingerprints or a third fingerprint in the second subset of fingerprints to a fourth fingerprint in the fourth subset of fingerprints in order to identify the media content.

Abstract: A method for flagging advertisement frames for automatic content recognition is provided. The method includes receiving broadcast fingerprints indicative of broadcast frames of a media stream comprising a series of broadcast scenes. The method also includes receiving advertisement fingerprints indicative of ad frames of ad scenes. The method further includes determining a scene change between a first broadcast scene and a second broadcast scene. The scene change is based on a Pearson correlation coefficient between an initial broadcast fingerprint of an initial broadcast frame of the second broadcast scene and a last broadcast fingerprint of a last broadcast frame of the first broadcast scene. The method also further includes determining whether the second broadcast scene is one of the ad scenes. When the second broadcast scene is one of the ad scenes, the method associates an identification of the second broadcast scene as the one of the ad scenes.

Abstract: A method for cold matching by automatic content recognition includes receiving, at data processing hardware, broadcast fingerprints indicative of broadcast frames of a broadcast media stream. The method also includes receiving, at the data processing hardware, media device fingerprints indicative of media device frames of a media device stream at a corresponding media device. The method further includes determining, by the data processing hardware, that a search block comprising a plurality of media device fingerprints corresponding to sequential media device frames of the media device stream includes at least one media device fingerprint having a match correlation to at least one broadcast fingerprint. The match correlation is based on a Pearson correlation coefficient. The method also includes identifying, by the data processing hardware, the at least one media device fingerprint having the match correlation to the at least one broadcast fingerprint as corresponding to a match media device frame.

Abstract: A method is disclosed for identifying the media content. The method includes receiving fingerprint media content from a content provider to obtain a first set of fingerprints, the first set of fingerprints including a first subset of fingerprints in a first fingerprint layout and a second subset of fingerprints in a second fingerprint layout. The method can include receiving a second set of fingerprints for media content displayed on the electronic device, the second set of fingerprints comprising a third subset of fingerprints in the first fingerprint layout and a fourth subset of fingerprints in the second fingerprint layout. The method can include matching a first fingerprint in the first subset of fingerprints to a second fingerprint in the third subset of fingerprints or a third fingerprint in the second subset of fingerprints to a fourth fingerprint in the fourth subset of fingerprints in order to identify the media content.

Abstract: A server device includes memory to store: a database of frame fingerprints ordered sequentially by media item number and frame number for media items, and a hash table containing (key, value) entries each including a hashed frame fingerprint and index number(s) to the database. A processor coupled to the memory is to, for an input set of hashed frame fingerprints, select a most recent hashed frame fingerprint. The processor performs a lookup with the most recent hashed frame fingerprint to identify a plurality of index numbers from a matching entry. The processor retrieves a target plurality of frame fingerprints from the database using each of the plurality of index numbers as a starting point; calculates a rank distance between the input set and each respective target plurality of frame fingerprints; and selects the target plurality of frame fingerprints for which the rank distance is shortest, to identify a media item.

Abstract: A method is disclosed for identifying the media content. The method includes receiving fingerprint media content from a content provider to obtain a first set of fingerprints, the first set of fingerprints including a first subset of fingerprints in a first fingerprint layout and a second subset of fingerprints in a second fingerprint layout. The method can include receiving a second set of fingerprints for media content displayed on the electronic device, the second set of fingerprints comprising a third subset of fingerprints in the first fingerprint layout and a fourth subset of fingerprints in the second fingerprint layout. The method can include matching a first fingerprint in the first subset of fingerprints to a second fingerprint in the third subset of fingerprints or a third fingerprint in the second subset of fingerprints to a fourth fingerprint in the fourth subset of fingerprints in order to identify the media content.

Abstract: A server device includes memory to store: a database of frame fingerprints ordered sequentially by media item number and frame number for media items, and a hash table containing (key, value) entries each including a hashed frame fingerprint and index number(s) to the database. A processor coupled to the memory is to, for an input set of hashed frame fingerprints, select a most recent hashed frame fingerprint. The processor performs a lookup with the most recent hashed frame fingerprint to identify a plurality of index numbers from a matching entry. The processor retrieves a target plurality of frame fingerprints from the database using each of the plurality of index numbers as a starting point; calculates a rank distance between the input set and each respective target plurality of frame fingerprints; and selects the target plurality of frame fingerprints for which the rank distance is shortest, to identify a media item.

Abstract: A content device and method is disclosed to include a processing device to process streaming video content. A fingerprinter receives captured frames of the streaming video content and, for each frame of a plurality of the captured frames, generates a one-dimensional histogram function of pixel values and transforms the histogram function with a Fast Fourier Transform (FFT), to generate a plurality of complex values for the frame. The fingerprinter further, for each of the plurality of complex values, assigns a binary one (“1”) when a real part of the complex value is greater than zero (“0”) and assigns a binary zero (“0”) when the real part is less than or equal to zero, to generate a plurality of bits. The fingerprinter further concatenates a specific number of the bits to generate a fingerprint for the frame.

Abstract: A server device includes memory to store: a database of frame fingerprints ordered sequentially by media item number and frame number for media items, and a hash table containing (key, value) entries each including a hashed frame fingerprint and index number(s) to the database. A processor coupled to the memory is to, for an input set of hashed frame fingerprints, select a most recent hashed frame fingerprint. The processor performs a lookup with the most recent hashed frame fingerprint to identify a plurality of index numbers from a matching entry. The processor retrieves a target plurality of frame fingerprints from the database using each of the plurality of index numbers as a starting point; calculates a rank distance between the input set and each respective target plurality of frame fingerprints; and selects the target plurality of frame fingerprints for which the rank distance is shortest, to identify a media item.

Abstract: A method includes receiving broadcast fingerprints indicative of broadcast frames of broadcast media streams being streamed to a plurality of channels by a broadcaster and receiving television (TV) fingerprints indicative of an ordered sequence of TV frames of a TV media stream at a corresponding media device. The method further includes matching the TV fingerprints with the broadcast fingerprints by determining a difference between respective broadcast fingerprints and corresponding TV fingerprints of the ordered sequence of TV frames. The matching includes populating a binary tree structure with respective differences. The method also includes detecting a channel change of the media device from a first channel to a second channel in response to locating a value indicative of the channel change in the binary tree structure within a threshold number of children nodes from a root node upon traversing down the binary tree structure.

Abstract: A content device and method is disclosed to include a processing device to process streaming video content. A fingerprinter receives captured frames of the streaming video content and, for each frame of a plurality of the captured frames, generates a one-dimensional histogram function of pixel values and transforms the histogram function with a Fast Fourier Transform (FFT), to generate a plurality of complex values for the frame. The fingerprinter further, for each of the plurality of complex values, assigns a binary one (“1”) when a real part of the complex value is greater than zero (“0”) and assigns a binary zero (“0”) when the real part is less than or equal to zero, to generate a plurality of bits. The fingerprinter further concatenates a specific number of the bits to generate a fingerprint for the frame.

Abstract: A method is disclosed for identifying the media content. The method includes receiving fingerprint media content from a content provider to obtain a first set of fingerprints, the first set of fingerprints including a first subset of fingerprints in a first fingerprint layout and a second subset of fingerprints in a second fingerprint layout. The method can include receiving a second set of fingerprints for media content displayed on the electronic device, the second set of fingerprints comprising a third subset of fingerprints in the first fingerprint layout and a fourth subset of fingerprints in the second fingerprint layout. The method can include matching a first fingerprint in the first subset of fingerprints to a second fingerprint in the third subset of fingerprints or a third fingerprint in the second subset of fingerprints to a fourth fingerprint in the fourth subset of fingerprints in order to identify the media content.