Abstract: A downloadable reminder application uses object recognition technology to recognize one or more objects appearing on a display screen of the mobile computing device and matches them to a set of known target objects. The downloadable reminder application process any associated trigger conditions for the target object. The downloadable reminder application then sets the future reminder for the target object to activate. The downloadable reminder application when it detects that a mobile computing device is satisfying the trigger condition for a target object for which it has set a future reminder on, then the downloadable reminder application in the mobile computing device fires the future reminder that was set for that target object and provides the alert to the user along with any triggerable contributions associated with that target object.

Abstract: A language identification system that includes a universal phoneme decoder (UPD) is described. The UPD contains a universal phoneme set representing both 1) all phonemes occurring in the set of two or more spoken languages, and 2) captures phoneme correspondences across languages, such that a set of unique phoneme patterns and probabilities are calculated in order to identify a most likely phoneme occurring each time in the audio files in the set of two or more potential languages in which the UPD was trained on. Each statistical language model (SLM) uses the set of unique phoneme patterns created for each language in the set to distinguish between spoken human languages in the set of languages. The run-time language identifier module identifies a particular human language being spoken by utilizing the linguistic probabilities supplied by the SLMs that are based on the set of unique phoneme patterns created for each language.

Abstract: User profile information for many users may be stored in a user profile database associated with a server computer connected to a network. Based on information received from a mobile computing device, the server computer selects augment information from an augment information database coupled with the user profile database. The information received from the mobile computing device is related to frames of a video stream being captured by the mobile computing device and geographical information associated with these frames. The augment information is also selected based on the user profile associated with the mobile computing device. The augment information is to be transmitted from the server computer to the mobile computing device using wireless communication and is used by the mobile computing device to overlay the frames of the video stream being captured by the mobile computing device.

Abstract: Methods for automatically recommending hash tags for use with comments generated by the comment authors comprise analyzing existing comments to determine reach and influence of authors of the existing comment, and hash tags and keywords that are included in the existing comments. The methods further comprise using the comment and linked content of links included in the existing comment to determine concept information associated with the existing comments, where the concept information is determined using a server computing system configured with an Intelligent Data Operating Layer (IDOL) application, and where the concept information, the reach and influence information, the keywords and the hash tags are stored in a hash tag database.

Abstract: A method for implementing shared experiences using mobile computing devices comprises capturing an image of a trigger along with background information associated with the trigger in a video frame using a video camera built into a first mobile computing device equipped with a display screen and a wireless communication module; identifying characteristics information of the trigger and the associated background information; transmitting the characteristics information of the trigger and the associated background information to a server computing device connected to a network using wireless communication; receiving an augmented reality corresponding to the characteristics information of the trigger and the associated background information from the server computing device; and presenting the augmented reality on the display screen of the first mobile computing device, wherein the augmented reality associated with the first mobile computing device is shared and time synchronized with an augmented reality previou

Abstract: Methods for implementing shared experiences using mobile computing devices comprise capturing audio waves associated with a media using a built-in microphone of a mobile computing device, the mobile computing device including a processor, a memory, a display screen, a built-in battery to power the mobile computing device, and a built-in communication module to enable wireless communication. A signature is generated from the audio waves captured by the microphone. Based on the signature being recognized as a known signature, the signature and positioning information are transmitted to an audio server using the wireless communication. The positioning information identifies a specific moment in the media that a user of the mobile computing device is listening, the audio server and the mobile computing device connected to a network. Activity information is received from the audio server. The activity information is related to the media and associated with a third party server connected to the network.

Abstract: A language identification system that includes a universal phoneme decoder (UPD) is described. The UPD contains a universal phoneme set representing both 1) all phonemes occurring in the set of two or more spoken languages, and 2) captures phoneme correspondences across languages, such that a set of unique phoneme patterns and probabilities are calculated in order to identify a most likely phoneme occurring each time in the audio files in the set of two or more potential languages in which the UPD was trained on. Each statistical language model (SLM) uses the set of unique phoneme patterns created for each language in the set to distinguish between spoken human languages in the set of languages. The run-time language identifier module identifies a particular human language being spoken by utilizing the linguistic probabilities supplied by the SLMs that are based on the set of unique phoneme patterns created for each language.

Abstract: A system to determine positions of mobile computing devices and provide direction information includes a first mobile computing device configured to broadcast a first chirp signal, a second mobile computing device configured to broadcast a second chirp signal indicating receipt of the first chirp signal and a first time information about when the first chirp signal is received, and a third mobile computing device configured broadcast a third chirp signal indicating (a) receipt of the first and second chirp signals and (b) a second time information about when the first and second chirp signals are received. The first mobile computing device is configured to use the first and second time information to determine a position of the second mobile computing device. The first mobile computing device is also configured to transmit text messages to the second mobile computing device to direct a user of the second mobile computing device to a position of a user of the first mobile computing device.

Abstract: A system to provide augment information includes an object database configured to store characteristics and geographical information associated with known objects, and an object recognition engine configured to compare characteristics and geographical information of objects associated with a frame in a first set of frames of a video stream with the characteristics and geographical information stored in the object database to recognize a first known object. The system may include two or more server computers in a site. The two or more servers are configured with identical compositions of hardware and content with server computers at another geographically different site. The video stream is captured by a mobile computing device connected to a network using wireless communication.

Abstract: An mobile computing device includes a video capturing module to capture a video stream, a global positioning system (GPS) module to generate geographical information associated with frames of the video stream to be captured by the video capturing device, and a video processing module to analyze the frames of the video stream and extract features of points of interest included in the frames. The video processing is configured to transmit the features of the points of interest and the geographical information to a server and to receive augment information from the server computer using wireless communication. The video processing module uses the augment information to overlay the frames of the video stream to generate an augmented video stream.

Abstract: User profile information for many users may be stored in a user profile database associated with a server computer connected to a network. Based on information received from a mobile computing device, the server computer selects augment information from an augment information database coupled with the user profile database. The information received from the mobile computing device is related to frames of a video stream being captured by the mobile computing device and geographical information associated with these frames. The augment information is also selected based on the user profile associated with the mobile computing device. The augment information is to be transmitted from the server computer to the mobile computing device using wireless communication and is used by the mobile computing device to overlay the frames of the video stream being captured by the mobile computing device.

Abstract: Various methods and apparatus are described for a speech recognition system. In an embodiment, the statistical language model (SLM) provides probability estimates of how linguistically likely a sequence of linguistic items are to occur in that sequence based on an amount of times the sequence of linguistic items occurs in text and phrases in general use. The speech recognition decoder module requests a correction module for one or more corrected probability estimates P?(z|xy) of how likely a linguistic item z follows a given sequence of linguistic items x followed by y, where (x, y, and z) are three variable linguistic items supplied from the decoder module. The correction module is trained to linguistics of a specific domain, and is located in between the decoder module and the SLM in order to adapt the probability estimates supplied by the SLM to the specific domain when those probability estimates from the SLM significantly disagree with the linguistic probabilities in that domain.

Abstract: Various methods and apparatus are described for archiving of an electronic document between multiple interconnected archive units of a distributed server network in geographically-dispersed locations in order to store identical copies of the electronic document at the same time. An archival portal server in the distributed server network sends a five-step, two-phase commit protocol to a selected set of two or more transaction manager instances resident on remote archive units. The archival system reconciles if an error occurs between a start of a transmission of the electronic document and a permanent archiving of that electronic document, or the electronic document is stored in a permanent data storage location within each of the archive units at an end of the two-phase commit protocol making archiving of an electronic document to multiple locations an atomic operation.

Abstract: A language identification system that includes a universal phoneme decoder (UPD) is described. The UPD contains a universal phoneme set representing both 1) all phonemes occurring in the set of two or more spoken languages, and 2) captures phoneme correspondences across languages, such that a set of unique phoneme patterns and probabilities are calculated in order to identify a most likely phoneme occurring each time in the audio files in the set of two or more potential languages in which the UPD was trained on. Each statistical language models (SLM) uses the set of unique phoneme patterns created for each language in the set to distinguish between spoken human languages in the set of languages. The run-time language identifier module identifies a particular human language being spoken by utilizing the linguistic probabilities supplied by the one or more SLMs that are based on the set of unique phoneme patterns created for each language.

Abstract: Various methods and apparatus are described for archiving of an electronic document between multiple interconnected archive units of a distributed server network in geographically-dispersed locations in order to store identical copies of the electronic document at the same time. An archival portal server in the distributed server network sends a five-step, two-phase commit protocol to a selected set of two or more transaction manager instances resident on remote archive units. The archival system reconciles if an error occurs between a start of a transmission of the electronic document and a permanent archiving of that electronic document, or the electronic document is stored in a permanent data storage location within each of the archive units at an end of the two-phase commit protocol making archiving of an electronic document to multiple locations an atomic operation.

Abstract: A language identification system that includes a universal phoneme decoder (UPD) is described. The UPD contains a universal phoneme set representing both 1) all phonemes occurring in the set of two or more spoken languages, and 2) captures phoneme correspondences across languages, such that a set of unique phoneme patterns and probabilities are calculated in order to identify a most likely phoneme occurring each time in the audio files in the set of two or more potential languages in which the UPD was trained on. Each statistical language models (SLM) uses the set of unique phoneme patterns created for each language in the set to distinguish between spoken human languages in the set of languages. The run-time language identifier module identifies a particular human language being spoken by utilizing the linguistic probabilities supplied by the one or more SLMs that are based on the set of unique phoneme patterns created for each language.

Abstract: Various methods and apparatus are described for a speech recognition system. In an embodiment, the statistical language model (SLM) provides probability estimates of how linguistically likely a sequence of linguistic items are to occur in that sequence based on an amount of times the sequence of linguistic items occurs in text and phrases in general use. The speech recognition decoder module requests a correction module for one or more corrected probability estimates P?(z|xy) of how likely a linguistic item z follows a given sequence of linguistic items x followed by y, where (x, y, and z) are three variable linguistic items supplied from the decoder module. The correction module is trained to linguistics of a specific domain, and is located in between the decoder module and the SLM in order to adapt the probability estimates supplied by the SLM to the specific domain when those probability estimates from the SLM significantly disagree with the linguistic probabilities in that domain.

Abstract: A method, apparatus, and system are described for a continuous speech recognition engine that includes a fine speech recognizer model, a coarse sound representation generator, and a coarse match generator. The fine speech recognizer model receives a time coded sequence of sound feature frames, applies a speech recognition process to the sound feature frames and determines at least a best guess at each recognizable word that corresponds to the sound feature frames. The coarse sound representation generator generates a coarse sound representation of the recognized word. The coarse match generator determines a likelihood of the coarse sound representation actually being the recognized word based on comparing the coarse sound representation of the recognized word to a database containing the known sound of that recognized word and assigns the likelihood as a robust confidence level parameter to that recognized word.

Abstract: Various methods and apparatuses are described to generate a list of one or more links related to the content in an active window without a user having to request the query. The text from content in an active window may be analyzed. A query may be executed on the content in the active window without a user having to request the query. A first icon that represents a category of links related to the content may be embedded in an application operating in the active window. A list of links related to the content in the active window may be generated.

Abstract: A method, apparatus, and system exist to generate a ranked list of one or more related documents and a link to each of the one or more related documents. The one or more related documents are ranked based upon relevance to the first representation of content associated with one or more specified fields of the reference extensible markup language document.