Abstract: A method of monitoring the amount of time spent in a specified area by an individual comprises employing a first camera to automatically create one or more entrance images, each entrance image containing a face of an entering individual that passes a first location, and storing each entrance image in a database along with a corresponding entrance time that the entering individual passed the entrance location. An exit image is compared to the entrance images in the database to identify a matching entrance image containing the same face as the exit image. A stay time is then determined for the exiting individual by determining the difference between the entrance time corresponding to the matching entrance image and the exit time.

Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.

Abstract: Systems and method of diarization of audio files use an acoustic voiceprint model. A plurality of audio files are analyzed to arrive at an acoustic voiceprint model associated to an identified speaker. Metadata associate with an audio file is used to select an acoustic voiceprint model. The selected acoustic voiceprint model is applied in a diarization to identify audio data of the identified speaker.

Abstract: A system and method for distinguishing the sentiment of utterances in a dialog is disclosed. The system utilizes a lexicon that is expanded from a seed using unsupervised machine learning. What results is a sentiment classifier that may be optimized for a variety of environments (e.g., conversation, chat, email, etc.), each of which may communicate sentiment differently.

Abstract: An apparatus for monitoring a plurality of devices that use a plurality of networks includes a network interface and a processor. The processor is configured to receive, via the network interface, a plurality of packets that were collectively communicated, from the devices, via all of the networks, to aggregate the packets, using at least one field that is included in respective packet headers of the packets, into a plurality of packet aggregations, such that all of the packets in each one of the packet aggregations were collectively communicated from no more than one of the devices, to group the packet aggregations into a plurality of groups, such that there is a one-to-one correspondence between the groups and the devices, in that all of the packets in each of the groups were collectively communicated from a different respective one of the devices, and to generate an output in response thereto.

Abstract: Methods and systems for storing and managing large numbers of small files. A data processing system includes clients that generate large numbers be stored on a storage device managed by a File System (FS). An Archive Server (AS) receives multiple files from the client, archives the files in larger archives, and sends the archives to the FS for storage. When requested to read a file, the AS retrieves the archive in which the file is stored, extracts the file and sends it to the requesting client. In other words, the AS communicates with the clients in individual file units, and with the storage device in archive units. The AS is typically constructed as an add-on layer on top of a conventional FS, which enables the FS to handle small files efficiently without modification.

Abstract: A method includes mapping communication activity of wireless communication terminals on a plurality of frequency channels. A schedule of time durations to be spent on the respective frequency channels is defined based on the mapped communication activity. One or more transceivers are controlled to alternate among the frequency channels in accordance with the schedule. On each frequency channel, one or more of the wireless communication terminals are tracked by soliciting the wireless communication terminals to temporarily communicate with at least one of the transceivers during the respective time duration.

Abstract: A plurality of pairs of video cameras and interrogation devices may be placed in a public place along various paths that a person-of-interest might be expected to move. The person-of-interest is then located in multiple images acquired, collectively, by multiple video cameras. From each of the interrogation devices that are paired with these video cameras, a subset of the captured identifiers is obtained. Candidate identifiers are then restricted to those identifiers that are included in each of the subsets. A given identifier may be rejected as a candidate identifier. To automatically locate the person-of-interest in the images acquired by the “paired” video cameras, a processor may utilize video-tracking techniques to automatically track the person-of-interest, such that the person-of-interest is not “lost.” By virtue of utilizing such tracking techniques, the person-of-interest may be repeatedly located automatically, and with minimal chance of a false detection.

Abstract: Disclosed herein are methods of diarizing audio data using first-pass blind diarization and second-pass blind diarization that generate speaker statistical models, wherein the first pass-blind diarization is on a per-frame basis and the second pass-blind diarization is on a per-word basis, and methods of creating acoustic signatures for a common speaker based only on the statistical models of the speakers in each audio session.

Abstract: Systems and methods search video data for objects that satisfy a general object description. A database is populated with identified objects and object characteristics detected in video data with at least one identifier that specifies video image data. At least one search parameter is received that presents a general object description. The database is queried based upon the received at least one search parameter. At least one identifier is returned from the database based upon the at least one search parameter.

Abstract: Systems and methods of automated ontology development include a corpus of communication data. The corpus of communication data includes communication data from a plurality of interactions and is processed. A plurality of terms are extracted from the corpus. Each term of the plurality is a plurality of words that identify a single concept within the corpus. An ontology is automatedly generated from the extracted terms.

Abstract: Methods and systems for obtaining reconstructing activities of target users in social networks, such as for decoding and displaying social network sessions held by a target user, or identifying other users who are associated with the target user. This analysis is typically carried out based on passive monitoring of network traffic. A social network decoding system constructs and maintains a replica database, which mimics a portion of the user profile database maintained by the social network servers. The social network decoding system monitors network traffic between users and social network servers. Based on the monitored traffic, the system gradually constructs a replica database that attempts to replicate a portion of the social network user profile database, relating to one or more predefined target users. Using the replica database, the system is able to correlate loosely-coupled information objects, events and interactions between the target users and social network pages.

Abstract: A subject can be tracking using a plurality of physical video monitoring or image acquisition devices deployed in a delimited area. A map represents the delimited area. Icons representing the physical monitoring devices can be placed and configured on the map representing the delimited area. Some or all of the placed and configured video monitoring devices can be logically linked together to form scenes. The video feed from the physical video monitoring devices may be recorded in stable storage. A layout for display of the video feeds may be selected. Upon playing the video feed, whether live or recorded, a subject can be tracked through the delimited area by selecting one of the video monitoring devices in one of the available scenes.

Abstract: A method includes moving an interrogation device through multiple geographical positions. At each geographical position of the interrogation device, a wireless communication terminal is solicited to establish temporary communication with the interrogation device, and a value indicative of a distance between the wireless communication terminal and the interrogation device is estimated using the temporary communication. A geographical location of the wireless communication terminal is calculated based on multiple estimated values corresponding to the respective multiple geographical positions of the interrogation device.

Abstract: Systems, methods, and media for developing ontologies and analyzing communication data are provided herein. In an example implementation, the method includes: identifying terms in in a set of communication data; identifying a list of possible relations of the identified terms; scoring the possible relations according to a set of predefined merits; ranking the possible relations into a list of possible relations in descending order according to their score; and tagging relations in the set of communication data. The relations may be tagged by identifying the possible relations in the communication data in order corresponding with the list of possible relations. The possible relations that have lower rankings that conflict with higher ranking relations are not tagged. The conflicts may be determined by a predefined set of conflict criteria.

Abstract: Systems and methods search video data for objects that satisfy a general object description. A database is populated with identified objects and object characteristics detected in video data with at least one identifier that specifies video image data. At least one search parameter is received that presents a general object description. The database is queried based upon the received at least one search parameter. At least one identifier is returned from the database based upon the at least one search parameter.

Abstract: A system, method, and software for mobile video display and management includes acquiring a plurality of streams of video data from a plurality of cameras. The plurality of streams of video data are stored and plurality of selected streams of video data that includes at least one stream of recorded video data and at least one stream of live video data are presented in a graphical user interface of a remote device.

Abstract: Systems and method of diarization of audio files use an acoustic voiceprint model. A plurality of audio files are analyzed to arrive at an acoustic voiceprint model associated to an identified speaker. Metadata associate with an audio file is used to select an acoustic voiceprint model. The selected acoustic voiceprint model is applied in a diarization to identify audio data of the identified speaker.

Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.

Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcribed audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.