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 for recording a communication session between a customer and an agent of a customer center communication system are provided. In this regard, a representative method comprises: configuring a communication component of the customer center communication system to enable recording of a media stream associated with the communication session; transmitting the media stream over a network based on the configuration of the communication component; receiving the media stream over the network; and recording the received media stream.
Abstract:
Video data from sources, such as cameras, is analyzed to create metadata descriptive of the events and objects occurring in the video. This metadata, which consists of data about the video, is then analyzed on a transaction basis to determine if a suspicious activity, such as a fraudulent Point of Sale (POS) return event, has occurred in relation to a transaction.
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. A fourth detection method relates to the number of people that enter a certain area by crossing a virtual line, a tripwire.
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:
Software, systems, and methods for recording a scene encompassing a transaction, such as a point-of-sale transaction, are presented. In one implementation of a method, the scene is recorded to a data storage system using a first video camera capable of capturing protected data associated with the transaction. While recording the scene using the first camera, and in response to receiving a first trigger, the recording of the scene is continued using a second video camera not capable of capturing the protected data. While then recording the scene using the second camera, and in response to receiving a second trigger, the recording of the scene is continued using the first video camera. The first and second timing triggers are initiated based on at least one event associated with the transaction.
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 video system includes at least one video subsystem including a video source coupled to a mobile platform. The video source is configured to capture and transmit video data. A video processing system is configured to receive transmission of the video data from the video subsystem at a plurality of locations in which the video subsystem is configured to transmit the video data to the video processing system automatically when the video subsystem is in range of the video processing system at each of the plurality of locations.
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:
Outputs of an automatic probabilistic event detection system, such as a fact extraction system, a speech-to-text engine or an automatic character recognition system, are matched with comparable results produced manually or by a different system. This comparison allows statistical modeling of the run-time behavior of the event detection system. This model can subsequently be used to give supplemental or replacement data for an output sequence of the system. In particular, the model can effectively calibrate the system for use with data of a particular statistical nature.