Abstract: A faster and more streamlined system for providing summary and analysis of large amounts of communication data is described. System and methods are disclosed that employ an ontology to automatically summarize communication data and present the summary to the user in a form that does not require the user to listen to the communication data. In one embodiment, the summary is presented as written snippets, or short fragments, of relevant communication data that capture the meaning of the data relating to a search performed by the user. Such snippets may be based on theme and meaning unit identification.

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, methods, and media for the automated removal of private information are provided herein. In an example implementation, a method for automatic removal of private information may include: receiving a transcript of communication data; applying a private information rule to the transcript in order to identify private information in the transcript; tagging the identified private information with a tag comprising an identification of the private information; applying a complicate rule to the tagged transcript in order to evaluate a compliance of the transcript with privacy standards; removing the identified private information from the transcript to produce a redacted transaction; and storing the redacted transcript.

Abstract: Systems and methods of script identification in audio data obtained from audio data. The audio data is segmented into a plurality of utterances. A script model representative of a script text is obtained. The plurality of utterances are decoded with the script model. A determination is made if the script text occurred in the audio data.

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 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. At 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 transcribed customer service interaction.

Abstract: A computer-implemented method for processing a plurality of data items includes defining a set of one or more categories having a corresponding set of conditions that associate the data items with the categories. A sub-categorization request, requesting to divide a category from among the categories into lower-level categories, is accepted from a user. The data items associated with the category are processed responsively to the sub-categorization request, so as to automatically suggest the lower-level categories. The automatically-suggested lower-level categories are presented to the user, and direction with respect to the automatically-suggested lower-level categories is accepted from the user. A hierarchical structure representing the categories is constructed responsively to the direction, by dividing the category into the lower-level categories. Output based on the hierarchical structure is presented to the user.

Abstract: A method for operating a video source is provided. The method includes capturing video data comprising a plurality of frames of a scene, and identifying a first frame from the plurality of frames that includes a first aspect of an activity occurring within the scene. The method also includes subsequent to identifying the first frame, identifying at least a second frame from the plurality of frames that includes a second aspect of the activity occurring within the scene, and transferring the first frame and the second frame for delivery to storage.

Abstract: A method for operating a video system is provided. The method includes receiving video data comprising a scene from a video capture device at a video processor, and processing the video data to produce first video data of the scene at a first quality level in the video processor. The method continues by transferring the first video data at a first data rate from the video processor to a remote video processor, receiving a control signal, and processing the video data to produce second video data of the scene at a second quality level in response to the control signal in the video processor, where the second quality level is greater than the first quality level. The method concludes by transferring the second video data at a second data rate from the video processor to the remote video processor.

Abstract: In order to trigger an out of focus alert when the focus level of a video frame meets a focus criteria, a method is performed including the operations of: receiving a video frame, partitioning the video frame into a plurality of blocks, calculating an array of discrete cosign transformation (DCT) coefficients for at least one of the plurality of blocks using a DCT, classifying each of the at least one of the plurality of blocks based on the array of DCT coefficients for that block, calculating a focus level of the video frame from the block classifications, and triggering an out of focus alert if the focus level meets a focus criteria.

Abstract: A system and method for the capture and storage of data relating to the movements of objects, in a specified area and enables this data to be displayed in a graphically meaningful and useful manner. Video data is collected and video metadata is generated relating to objects (persons) appearing in the video data and their movements over time. The movements of the objects are then analyzed to detect the movements within a region of interest. This detection of movement allows a user, such as a manager of a store, to make informed decisions as to the infrastructure and operation of the store. One detection method relates to the number of people that are present in a region of interest for a specified time period. A second detection method relates to the number of people that remain or dwell in a particular area for a particular time period. A third detection method determines the flow of people and the direction they take within a region of interest.

Abstract: A camera mounting assembly includes a positioning support defining a central axis and a plurality of brackets. Each of the brackets includes a first end coupled to the positioning support and a second end spaced apart from the first end. The brackets are configured to move between a retracted state and an extended state. When in the retracted state, the second ends of the brackets are at a first distance from the central axis, and in the extended state, the second ends of the brackets are at a second distance. The second distance is greater than the first distance.

Abstract: Methods, systems, and software are provided herein that allow a user to store and retrieve data records. In one example, a method of storing data records is provided. The method includes initializing a shared write pointer to a first location in a shared memory of a data storage system, and receiving a plurality of data records transferred by a plurality of data sources for storage in the shared memory. The method also includes, beginning with a first of the plurality of data sources, writing in a cyclic sequence one of the plurality of data records for each of the plurality of data sources based on the shared write pointer, and incrementing the shared write pointer after each writing, and updating at least a header portion of the shared memory with the shared write pointer responsive to each writing.

Abstract: The present invention comprises a system and method for controlling the rate a data encoder generates compressed data. The system and method are preferably implemented as program code stored and executed by a processor or computer that is interfaced to standard variable or constant bit rate encoders known in the art. The system preferably encodes and compresses video signals received from a camera, and controls the rate at which the compressed data is generated by the encoder so that storage capacity reserved for the compressed data will not be exceeded. The device preferably takes advantage of periods when the data generation rate is low to increase the quality of video data generated during periods of high activity.

Abstract: Embodiments disclosed herein provide systems and methods for matching trajectories across disjointed video views. In a particular embodiment, a method provides identifying a first trajectory associated with an object in video captured of a first region. The method further provides identifying a plurality of alternative views of the object from the video of the first region. The method further provides using the plurality of alternative views of the object, selecting a second trajectory that corresponds to the first trajectory from a plurality of trajectories associated with a plurality of objects in video captured of a second region.

Abstract: Embodiments disclosed herein provide systems and methods for performing video recorder failover. In a particular embodiment, a system includes a first Network Video Recorder (NVR) configured to receive a video stream and record the video stream to a first long-term storage. The system further includes a second NVR configured to receive the video stream and temporarily stores an amount of the video stream in temporary storage. In response to a detection of a failure of the first NVR, the second NVR is configured to record the video stream to the second long-term storage and transfer at least a portion of the video stream stored in the temporary storage corresponding to the amount of time between detection of the failure and when the second NVR began recording the video stream to the second long-term storage.

Abstract: A method of searching for objects of interest within captured video comprising capturing video of a plurality of scenes, storing the video in a plurality of storage elements, and receiving a request to retrieve contiguous video of an object of interest that has moved through at least two scenes of the plurality of scenes.

Abstract: A system and method for the capture and storage of data relating to the movements of objects, in a specified area and enables this data to be displayed in a graphically meaningful and useful manner. Video data is collected and video metadata is generated relating to objects (persons) appearing in the video data and their movements over time. The movements of the objects are then analyzed to detect the movements within a region of interest. This detection of movement allows a user, such as a manager of a store, to make informed decisions as to the infrastructure and operation of the store. One detection method relates to the number of people that are present in a region of interest for a specified time period. A second detection method relates to the number of people that remain or dwell in a particular area for a particular time period. A third detection method determines the flow of people and the direction they take within a region of interest.

Abstract: Method and systems are presented for presenting multiple activities associated with one of a plurality of call center agents correlated in time. In one embodiment, the method comprises the steps of: determining at least one of the agents to be displayed; and displaying activity information in visual correlation with a timeline. The activity information includes a first plurality of activities originating from a first source and a second plurality of activities originating from a second source. Each of the activities is associated with the at least one agent.