Abstract: Embodiments that are described herein provide improved methods and systems for predicting threatened POIs. In some embodiments, an automated location tracking system tracks the locations of one or more target individuals. The locations of the target individuals may be tracked, for example, by tracking the cellular phones of the targets, or using various other automated location tracking techniques. Based on the tracked locations, a prediction system anticipates the future locations of the targets. Over time, the system uses this information to progressively narrow down the list of possibly-threatened POIs.

Abstract: A video stream from a webcam or video telephone is received. The video stream can be analyzed in real-time as it is being received or can be recorded and stored for later analysis. Information within the video streams can be extracted and processed by a facial and video content recognition engine and the information derived therefrom can be stored as metadata. The metadata can be used for enriching the call content recorded by a recorder. The information derived from the video streams can be used to solve business and legal issues.

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, 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: Methods and systems for identifying one or more rogue devices within a wireless communication network over a particular geographic location. A rogue base station detection system receives air interface transmissions from base stations belonging to a wireless communication network, as well as from one or more rogue base stations that do not belong to the network and are used for monitoring (e.g., hacking or eavesdropping) communication terminals communicating in the network. The system typically searches for signaling channels and converts the RF signal into GSM/UMTS messages including overcoming the different encryption methods used. The system than analyzes the received transmissions so as to identify suspicious transmissions that may be transmitted by the rogue base stations.

Abstract: In a method of diarization of audio data, audio data is segmented into a plurality of utterances. Each utterance is represented as an utterance model representative of a plurality of feature vectors. The utterance models are clustered. A plurality of speaker models are constructed from the clustered utterance models. A hidden Markov model is constructed of the plurality of speaker models. A sequence of identified speaker models is decoded.

Abstract: Embodiments disclosed herein provide systems and methods for matching trajectories across disjointed video views. In a particular embodiment, a method provides receiving a plurality of tagged trajectories that are tagged with an indicator of which trajectory pairs of the plurality of tagged trajectories are matching trajectory pairs and processing each of the trajectory pairs using each of a plurality of trajectory matching algorithms. The method further provides creating a model for matching trajectories based on the output of each of the plurality of trajectory matching algorithms for each of the pairs. The method further provides receiving a pair of trajectories and processing the pair of trajectories using each of the plurality of the trajectory matching algorithms. The method further provides processing the output of each of the plurality of the trajectory matching algorithms for the pair of trajectories using the model to determine whether the pair of trajectories is matching.

Abstract: Methods and systems for decoding monitored communication signals using previously identified side information. Information, which is used for decoding a given frame and is provided to the decoder not via the main communication channel between a base station and a mobile station, is referred to herein as “side information.” The side information can also be viewed as extrinsic information that was derived during previous decoding operations. The monitoring system holds, for certain frames, a-priori information of one or more data values that are expected in these frames. Decoding using this a-priori information enables an Error Correcting Code decoder to successfully decode such frames, which would otherwise fail to decode.

Abstract: A rogue base station detection system that receives communication that is exchanged in accordance with a communication protocol between one or more base stations and one or more communication terminals and detects a presence of a rogue base station based on detecting a signaling message that appears more than once in the communication, even though the signaling message is expected to appear only once in accordance with the communication protocol.

Abstract: A video monitoring system and method comprises a first camera at a first camera location configured to video record a first monitored area, wherein a georeference location of the first monitored area is known, and a virtual 3D model of the monitored zone that includes the first camera location and the first monitored area, wherein the virtual 3D model is georeferenced to a physical location. The system further comprises a processor configured to receive the video recording of the first monitored area and to overlay the video recording of the first monitored area onto a part of the virtual 3D model that corresponds to the georeference location of the first monitored area. A display is also connected to the processor and configured to display the virtual 3D model of the monitored zone overlaid with the video recording of the first monitored area.

Abstract: Apparatus and methods are described, including an interrogation device comprising an antenna, a transmitter-receiver (transceiver), and a processor. The processor, via the transceiver and the antenna, solicits a mobile communication terminal to associate with the interrogation device. While the solicited terminal is associated with the interrogation device, by communicating to the terminal respective identifiers of a plurality of base stations that collectively belong to a plurality of mobile communication networks, the processor drives the terminal to receive respective signals from at least some of the base stations, and communicate a property of at least some of the received signals to the processor. Other embodiments are also described.

Abstract: Embodiments that are described herein provide improved methods and systems for analyzing network traffic. The disclosed embodiments enable an analytics system to perform complex processing to only new, first occurrences of received content, while refraining from processing duplicate instances of that content. In an embodiment, the analytics results regarding the first occurring content are reported and cached in association with the content. For any duplicate instance of the content, the analytics results are retrieved from the cache without re-processing of the duplicate content. When using the disclosed techniques, the system still processes all first occurring content but not duplicate instances of content that was previously received and processed. In the embodiments described herein, input data comprises communication packets exchanged in a communication network.

Abstract: A video system for video surveillance or video monitoring includes a video source, a video control system, and a video management system. The video management system is configured to receive configuration data and generate maps based on the configuration data, wherein at least one of the maps is associated with the video source. The video management system displays the map associated with the video source and displays a graphical symbol on the map which indicates the location of the video source. The video management system then receives a selection of the video source, receives information associated with the selected video source, and displays the received information.

Abstract: The disclosed solution uses machine learning-based methods to improve the knowledge extraction process in a specific domain or business environment. By formulizing a specific company's internal knowledge and terminology, the ontology programming accounts for linguistic meaning to surface relevant and important content for analysis. For example, the disclosed ontology programming adapts to the language used in a specific domain, including linguistic patterns and properties, such as word order, relationships between terms, and syntactical variations. Based on the self-training mechanism developed by the inventors, the ontology programming automatically trains itself to understand the domain or environment of the communication data by processing and analyzing a defined corpus of communication data.

Abstract: Methods and systems for monitoring, analyzing and acting upon voice calls in communication networks. An identification system receives monitored voice calls that are conducted in a communication network. Some of the monitored voice calls may be conducted by target individuals who are predefined as suspects. In order to maintain user privacy, the system selects and retains only voice calls that are suspected of being conducted by predefined targets. The techniques disclosed herein are particularly advantageous in scenarios where the network identifiers of the terminal used by the target are not known, or where the target uses public communication devices. In accordance with the disclosure, context-based identifiers such as speaker recognition or keyword matching are used.

Abstract: Systems and methods for malware detection techniques, which detect malware by identifying the C&C communication between the malware and the remote host. In particular, the disclosed techniques distinguish between request-response transactions that carry C&C communication and request-response transactions of innocent traffic. Individual request-response transactions may be analyzed rather than entire flows, and fine-granularity features examined within the transactions. As such, these methods and systems are highly effective in distinguishing between malware C&C communication and innocent traffic, i.e., in detecting malware with high detection probability and few false alarms.

Abstract: Embodiments described herein facilitate receipt of image data, by providing apparatus and methods for constructing and/or utilizing a database of networked imaging devices. Communication transmitted over a network is identified as being from an imaging device. One or more identifiers, under which the communication is transmitted, are then extracted from the communication. For example, one or more Internet Protocol (IP) addresses may be extracted. The identifiers are associated in a database with respective physical locations. When a particular area is defined as an area of interest, at least one of the identifiers is selected from the database, the selected identifier being associated with a physical location that is within, or near, the area of interest. Image data transmitted under the selected identifier is then received by the interested parties.

Abstract: Methods and systems for monitoring communication of mobile communication terminals, such as cellular phones. An off-air monitoring system reconstructs both directions of a call conducted between two mobile terminals by receiving only downlink channels. The off-air monitoring system receives multiple downlink transmissions transmitted by base stations in a wireless communication network. The system uses the received downlink transmissions to reconstruct the bidirectional call content of calls conducted between wireless terminals. In order to reconstruct the bidirectional content of a given call, the system identifies and correlates the two downlink transmissions of that call from among the multiple received downlink transmissions.

Abstract: Methods, systems, and software are provided herein that allow a user to view video and manipulate viewing cells on a multi-view mode. In a first example, a method of merging viewing cells in a video management system is disclosed. The method includes presenting a plurality of viewing cells to a user, where the plurality of viewing cells are capable of displaying video of a plurality of video capture devices. The method also includes receiving an instruction to merge at least two of the plurality of viewing cells into a merged viewing cell, associating the merged viewing cell with one of the plurality of video capture devices, and allowing a user to drag another viewing cell into the merged viewing cell to associate the merged viewing cell with a video capture device correlated to the other viewing cell.