Abstract: A tracking support system includes a position calculating section connected with a plurality of cameras arranged in a predetermined monitoring area to transmit video images imaged by the plurality of cameras and configured to calculate a position of the tracking target based on the video images received from the plurality of cameras; a tracker selecting section configured to select a tracker to be instructed to track the tracking target, based on position information of the terminal received from the terminal and the calculated position of the tracking target; and an information transmitting section configured to transmit information of a distance between the tracking target and the terminal during the tracking of the tracking target to the terminal carried by the selected tracker.

Abstract: A method for controlling passive infrared sensors includes obtaining a three-dimensional image of a space to be laid out; arranging a plurality of PIR sensors and a plurality of sensor lamps on the three-dimensional image, a distance L between each adjacent two PIR sensors is equal to or less than a sensing radius of the PIR sensor; connecting each PIR sensor to a wireless network including a plurality of wireless sub-networks, each wireless sub-network includes four PIR sensors and at least one sensor lamp; controlling the four PIR sensors to sense living bodies in pairs every detection period, and when sensing data of living body is fed back, determining that there is at least one living body in the wireless sub-network; and determining a working state of the sensor lamp according to whether there is at least one living body in the wireless sub-network.

Abstract: A system for distributed data compression leverages edge and central computing devices to optimize efficiency and quality. The system includes a lightweight compression subsystem at the edge device that preprocesses and partially compresses input data before transmitting it to a central computing device. The central compression subsystem further processes the data using adjustable compression parameters and a temporal modeling component, reconstructing the data with high fidelity. The system dynamically optimizes preprocessing, encoding, and reconstruction operations based on resource availability, network conditions, and application-specific criteria. This distributed approach improves bandwidth efficiency and adaptability, making it suitable for applications requiring low-latency or resource-constrained environments.

Abstract: In the present invention, a process of receiving an image obtained by capturing a measurement target place with a camera, calculating a number of people in the measurement target place based on the image received, and allocating a car according to the calculated number of people is performed. Here, when an abnormality that an image from the camera cannot be received is determined, a process of referring to a detection value of a sensor or the like installed in a car or in the measurement target place to calculate the number of people in the car or the measurement target place is performed.

Abstract: One or more example embodiments of the present invention relates to a method for transmitting medical video data via a network. According to one more example embodiments, medical video data is provided via at least one of a medical imaging modality or a hospital data system. The medical video data is held in a buffer. Furthermore, a network connection is established in the network from a terminal to the buffer via a web protocol. The medical video data is transmitted from the buffer to the terminal in at least one network data stream via the network connection via the web protocol. The medical video data is displayed on a display apparatus of the terminal. One or more example embodiments of the present invention further relates to a system for transmitting medical video data and a buffer and also a terminal for such a system.

Abstract: A tracking support system includes a position calculating section connected with a plurality of cameras arranged in a predetermined monitoring area to transmit video images imaged by the plurality of cameras and configured to calculate a position of the tracking target based on the video images received from the plurality of cameras; a tracker selecting section configured to select a tracker to be instructed to track the tracking target, based on position information of the terminal received from the terminal and the calculated position of the tracking target; and an information transmitting section configured to transmit information of a distance between the tracking target and the terminal during the tracking of the tracking target to the terminal carried by the selected tracker.

Abstract: A sensor (e.g., an optical sensor) is disposed in an enclosure that separates it from an external environment. The enclosure includes an aperture comprising a transparent material. A laminate comprising a plurality of transparent films is coupled to the aperture such that the sensor has a field of view of the external environment through the transparent material of the aperture and the plurality of transparent films. The laminate includes an exposed transparent film that is exposed to the external environment and that is removable to expose an underlying film in the laminate when dirt, debris, or other obscuring material has collected on it. A laminate module that includes the laminate, a laminate sensor, and a peeling mechanism may be removably mounted on the aperture. The laminate sensor can sense the number of transparent films remaining in the laminate. The peeling mechanism can peel away individual transparent films in the laminate.

Abstract: A method for providing access to a building for a user is shown. The method includes determining a capacity restraint for the building, the capacity restraint including a maximum number of occupants allowed within the building. The method includes receiving a request to reserve a space in the building from the user. The method includes determining whether to grant the request based on the capacity restraint and current reservations within the building. The method includes, responsive to determining to grant the request, automatically providing credentials to at least one of an access control system of the building or a device of the user, the credentials configured to cause the access control system to grant access to the user in accordance with one or more parameters of the reservation.

Abstract: A process of collaboration between different agencies for classifying an event captured in a video stream. In operation, a video stream captured by a camera operated by a public-safety agency is analyzed using a first video analytics engine trained using a first set of video analytics data associated with the public-safety agency and an abnormal event with respect to a person or object captured in the video stream is detected. When it is determined that the video stream is captured at a location that is proximity to an operating environment of a non-public-safety agency, a query is transmitted to a second video analytics engine trained using a second set of video analytics data associated with the non-public-safety agency. The abnormal event is reclassified as a normal event when a response from the second video analytics engine indicates that the abnormal event is normal within the operating environment of the non-public-safety agency.

Abstract: In a recognition processing of a vehicle included in a camera image acquired by a camera installed in a closed space, the vehicle recognition system determines whether a shutter provided at an entrance/exit for a vehicle in the closed space is opened or not based on opening/closing information on the shutter. Then, the vehicle recognition system determines whether or not an outside illuminance is higher than an inside illuminance based on information on the outside illuminance and information on the inside illuminance. Furthermore, the vehicle recognition system performs brightness correction processing for correcting brightness of the camera image when it is determined that the shutter is opened and the outside illuminance is higher than the inside illuminance.

Abstract: The disclosure describes techniques for interacting with visitors at a visitor interaction system. A method includes obtaining video data captured by the visitor interaction system, identifying an approach of a person, and analyzing the video data to determine an identity of the person. The method includes automatically and without user intervention determining that the person belongs to a visitor groups of a plurality of visitor groups. Each of the visitor groups corresponds to a response model that includes a plurality of response actions. At least one of the response actions includes an autonomous response action. The method includes identifying a response model corresponding to the visitor groups and initiating an autonomous response action associated with the response model. Initiating the autonomous response action including presenting a message to the person, monitoring a response to the message, and sending a report message to the user via a client device.

Abstract: A vehicular vision system includes a camera disposed within a cabin of a vehicle equipped with the vehicular vision system and positionable to view within an interior cabin of the vehicle and positionable to view exterior of the vehicle through at least one window of the vehicle. The system includes an actuator disposed at the vehicle and electrically operable to rotate the camera about an axis relative to the vehicle. Multiple frames of image data captured by the camera as the camera rotates about the axis are processed at an ECU for a plurality of vehicle functions. Respective frames of image data of the multiple frames of captured image data are processed for respective vehicle functions of the plurality of vehicle functions based on respective viewing directions of the camera when the respective frames of image data are captured by the camera.

Abstract: Doorbells can send data to each other to enable a first doorbell user to warn a second doorbell user regarding a suspicious visitor. A first user can indicate a first trait of a visitor via a first remote computing device. The first user can create a user group to enable the members of the user group to use their doorbells to take pictures of suspicious visitors and to send the pictures of the suspicious visitors to other members of the user group.

Abstract: An example operation includes one or more of associating a vehicle with an impact, saving media captured before and after the impact as a media segment, transmitting, by a computing device associated with the vehicle, the media segment to another computing device, and building a sound profile from the media segment.

Abstract: An artificial intelligence (AI) entry management (EM) security system includes a camera, a microphone, a motion detector, a speaker, and a software platform. Geofences are utilized to create boundaries around physical areas, such as locations for package delivery or property boundaries. The EM device and other devices connected to the software platform are configured to monitor the geofences and detect a presence of an activity, an event, an object, or a device. At least one license plate reader is utilized to read license plate characters. Voice recognition and voice identification are used to grant or deny permissions for individuals on a property.

Abstract: An event-based analytics tool can obtain, from a data lake, an instance of correlated event data including a first event from a first network device, a second event from a second network device, and data correlating the first event to the second event. The event-based analytics tool can obtain PCAP data from a troubleshooting server via a first application programming interface. The event-based analytics tool can also obtain a log from a searchable log database via a second application programming interface. Based on the correlated event data, the packet capture data, and the log, the event-based analytics tool can generate a prediction model that can be used to predict a cause of a future event.

Abstract: Embodiments of this application provide an audio data processing method performed by a computer device. The method includes the following steps: acquiring recorded audio; determining prototype audio matching a background reference audio component of the recorded audio from an audio database; extracting candidate speech audio from the recorded audio according to the prototype audio; determining a difference between the recorded audio and the candidate speech audio as the background reference audio component comprised in the recorded audio; performing environmental noise reduction on the candidate speech audio to obtain noise-reduced speech audio corresponding to the candidate speech audio; and combining the noise-reduced speech audio with the background reference audio component to obtain noise-reduced recorded audio.

Abstract: Video processing devices, systems and methods are disclosed. A control device, a capture device, and at least one cooperation application are provided. The cooperation application configures the capture device and control device to communicatively pair for cooperation with one another to perform a video processing operation. The cooperation application determines a split of video processing tasks between the capture device and the control device. A first set of video processing tasks are performed by the capture device, and a second set of video processing task are performed by the control device.

Abstract: An electronic apparatus includes a processor; and a memory storing a program which, when executed by the processor, causes the electronic apparatus to: acquire an image in which a first image region captured by using a first optical system and a second image region captured by using a second optical system are disposed side by side; display the first image region and the second image region on a display; receive a predetermined operation from a user; and in a case where the predetermined operation is received from the user, control such that a magnified image region, generated by magnifying a part of the first image region, is displayed instead of the second image region.

Abstract: In one embodiment, a computing system may determine a pose of a device held by or attached to a hand of a user based on sensor data captured by the device. The system may determine a pose of a headset worn by the user based on sensor data captured by the headset. The system may determine positions of a first set of keypoints associated with a first portion of a body of the user based on (1) one or more first images captured by one or more cameras of the device, (2) the pose of the device, (3) one or more second images captured by one or more cameras of the headset and (4) the pose of the headset. The system may determine a body pose of the user based at least on the positions of the first set of keypoints.

Abstract: In accordance with an embodiment, described herein are systems and methods for auto-completion of ICS flow using artificial intelligence/machine learning. Next actions prediction is a service that assists users in modeling the flows quickly by predicting and suggesting the next set of actions a user might be thinking of adding. The service also assists the user to follow some of the best practices while creating an integration flow.

Abstract: An image capturing device is provided on a working machine and takes a captured image of surroundings including an object around the working machine. A first setting part sets a detection region in the captured image where the object is detected. A responsive action part executes a predetermined responsive action in a case that the object is in the detection region in the captured image. The first setting part sets a boundary that is a limit of the detection region in the captured image. The boundary extends in a front orthogonal direction and has a certain shape.

Abstract: A refrigerator according to the present embodiment comprises: a cabinet comprising a storage chamber; and a door for opening and closing the storage chamber. The door comprises: a main door comprising an opening and a door storage unit; a sub-door that opens and closes the opening and can rotate about a hinge with respect to the main door; a first camera and a second camera that are provided spaced apart from each other in the sub-door, and capture images of the door storage unit in a state where the sub-door is open; a marker provided on the main door and image-captured by the first camera; and a display unit for displaying result images including at least a portion of images captured by the first and second cameras.

Abstract: An artificial intelligence (AI) entry management (EM) security system includes a camera, a microphone, a motion detector, a speaker, and a software platform. Geofences are utilized to create boundaries around physical areas, such as locations for package delivery or property boundaries. The EM device and other devices connected to the software platform are configured to monitor the geofences and detect a presence of an activity, an event, an object, or a device. At least one license plate reader is utilized to read license plate characters. Voice recognition and voice identification are used to grant or deny permissions for individuals on a property.

Abstract: An information processing apparatus of the present invention detects a queue (20) of objects from video data (12). Further, the information processing apparatus of the present invention generates element information using a video frame (14) in which the queue (20) of objects is detected. The element information is information in which an object area (24) in the video frame (14) occupied by the object (22) included in the queue (20) of objects is associated with an attribute of the object (22). Furthermore, the information processing apparatus of the present invention detects a change in the queue (20) of objects based on the element information and the detection result of the object to video frame (14) generated after the video frame (14) in which the element information is generated. Then, the information processing apparatus of the present invention generates element information for the queue (20) of objects in which a change is detected to update the element information used later.

Abstract: An object to reduce a possibility that a detection target appearing in a captured image is not detected. In order to achieve such an object, an image processing device includes: a first detection unit that is configured to detect a predetermined object and a predetermined part of the predetermined object from an acquired captured image; a setting unit that sets a detection range in the captured image based on a detection result of the first detection unit in a case where only the predetermined object out of the predetermined object and the predetermined part has been detected by the first detection unit; and a second detection unit that attempts to detect the predetermined part in the detection range.

Abstract: A lamp socket assembly to be installed in a light socket and receive electrical power therefrom. The lamp socket assembly to provide electrical power to a surveillance device that detects an occurrence of a security event and notifies the lamp socket assembly of the occurrence. In response to the notification, the lamp socket assembly turns on a light bulb.

Abstract: A user equipment (UE), for example, used with a Vulnerable Road User, determines a relative position of the UE and sends a report of the relative position to one or more vehicle On-Board Units (OBUs), wherein the report further includes an identification of the one or more reference points. The relative position may be with respect to one or more reference points, which may be stationary or moving. The relative position may be determined and reported based on identifiers for the one or more reference points and distance or distance vectors to each of the one or more reference points. The relative position may be determined based on data from one or more one board sensors, such as radar, lidar, ultrasound, or camera, as well as with wireless transceivers. The relative position may additionally include a heading and a placement with respect to one or more street elements.

Abstract: According to some embodiments, a premises security system for monitoring a premises is provided and includes at least one computing device configured to receive a notification indicating at least one of a plurality of neighbor premises devices associated with a neighbor premises security system will be shared with the premises security system according to a schedule. The at least one computing device is further configured to: during a non-alarm state of the premises security system, access at least one of a plurality of neighbor premises devices according to the schedule and receive neighbor premises data comprising at least one of: media captured by the at least one of the plurality of neighbor premises devices or a notification associated with the at least one of the plurality of neighbor premises devices; and perform at least one action based on the neighbor premises data.

Abstract: An information processing apparatus of the present invention detects a queue (20) of objects from video data (12). Further, the information processing apparatus of the present invention generates element information using a video frame (14) in which the queue (20) of objects is detected. The element information is information in which an object area (24) in the video frame (14) occupied by the object (22) included in the queue (20) of objects is associated with an attribute of the object (22). Furthermore, the information processing apparatus of the present invention detects a change in the queue (20) of objects based on the element information and the detection result of the object to video frame (14) generated after the video frame (14) in which the element information is generated. Then, the information processing apparatus of the present invention generates element information for the queue (20) of objects in which a change is detected to update the element information used later.

Abstract: A trained first model is generated through first learning using a first learning image group constituted of a normal image which is a medical image having no region of interest. An input image group including at least the medical image different from the first learning image group is input to the trained first model, and abnormality detection is performed. The extracted image used for learning to prevent erroneous recognition is sorted according to a result of the abnormality detection, and second learning using a second learning image group including at least the extracted image is performed. A second model that detects the region of interest is generated through the second learning.

Abstract: This application describes an AI-powered Cloud-native Network Video Recorder (NVR) apparatus. This apparatus features multiple Power over Ethernet (PoE) ports, processors, computer-readable memories, and firmware implementing a camera-integration module, an Artificial Intelligence (AI) module, and a cloud-access module. The camera-integration module enables efficient connection and video data reception from heterogeneous cameras. The AI module processes the video data, identifying and generating clips of interest, optimizing surveillance efficiency. Finally, the cloud-access module facilitates the uploading of these clips to cloud storage, ensuring accessible and secure data management. This innovative NVR apparatus enables users to deploy a cloud-native video surveillance system using existing camera devices, significantly lowering the cost of adoption.

Abstract: A system and method for compressing and restoring data using a hierarchical multi-level autoencoder architecture and correlation network. The system compresses data using a cascade of autoencoders, each focusing on different scales or features, allowing for efficient representation across various resolutions. Data restoration employs a corresponding hierarchical decoder structure and a correlation network, trained on cross-correlated data sets. This approach leverages inter-data relationships at multiple scales, potentially recovering more lost information than traditional single-scale methods. The hierarchical structure adapts to diverse data types, achieving higher compression ratios while maintaining data quality, applicable to fields such as remote sensing, IoT data processing, and multimedia compression.

Abstract: A video camera includes a camera for capturing a video stream and a controller that is operably coupled to the camera. The controller, which includes processing resources, is configured to determine a current utilization of one or more of the processing resources and to determine which of a plurality of video analytics algorithms should be executed based at least in part on the determined current utilization of the one or more processing resources. The controller is configured to execute two or more of the plurality of video analytics algorithms on the video stream to identify one or more events in the video stream, wherein the controller executes the two or more of the plurality of video analytics algorithms, and sends an alert in response to identifying one or more events in the video stream.

Abstract: In one embodiment, a method includes maintaining a video communication between client devices with each being associated with a respective video stream, which is associated with a respective match scale measured based on a height of frames of the video stream and a depth of subjects within the frames, determining a respective scaling factor and cropping for each video stream, wherein the respective scaling factor is calculated based on the match scale associated with the corresponding video stream and a target match scale determined from the match scales associated with all video streams, and wherein the respective cropping is determined based on a uniformity of positions of the subjects within the frames across all video streams, generating a merged video stream from each video stream based on the respective scaling factor and cropping, and sending instructions for presenting the merged video stream to one or more of the client devices.

Abstract: A system includes a sensor detecting entry/exit of a person to/from a toilet and a sensor detecting leaving/sitting on a toilet seat installed on a toilet bowl; acquires excretion information indicating at least a start and an end of excretion, based on imaging data captured by an image capture apparatus installed in such a way as to include, in an image capture range, an excretion range of excrement in the bowl; authenticates a person performed entry/exit, and determines whether the person is a person to be assisted as a user of the toilet or a helper; outputs notification information to a notification destination, based on a detection event indicated by the excretion information, entry/exit information, leaving/sitting information, and an authentication result, and a notification condition; and stores, as the notification condition, necessity of notification, and the notification information and the notification destination when notification is necessary, for each events.

Abstract: The present invention discloses a vehicle remote control system that includes a user interface including an input portion receiving an input of vehicle control from a user, a communication portion wirelessly communicating with a vehicle control unit, and an informing portion outputting information, and an information control unit commanding the informing portion of the user interface to output information at start time or end time of drive control or specific event occurrence time during the drive control when the drive control including start control or move control of the vehicle is performed by the vehicle drive control unit being controlled through the user interface.

Abstract: A video doorbell system operable to generate a chime sound, comprises a transformer, operable to convert a premise's power supply to a suitable. The video doorbell system further includes a video doorbell having a processor, a video camera and a wireless communication module. The video doorbell is electrically connected to the transformer by a two-wire interface. The processor within the video doorbell operable to generate a chime signal using power supplied from the two-wire interface when a doorbell button is depressed. The video doorbell system further includes a chime controller, electrically connected to the transformer and the video doorbell by the two-wire interface. The video doorbell system continues to provide sufficient power to the video doorbell from the transformer via the two-wire interface so as to be able to operate the processor, video camera and wireless communication module while the doorbell button is currently depressed.

Abstract: An own-position estimating device for estimating an own-position of a moving body by matching a feature extracted from an acquired image with a database in which position information and the feature are associated with each other in advance, includes an estimating unit estimating the own-position of the moving body by matching the feature extracted by the extracting unit with the database, and a determination threshold value adjusting unit adjusting a determination threshold value for extracting the feature, in which the determination threshold value adjusting unit acquires the database in a state in which the determination threshold value is adjusted, and adjusts the determination threshold value on the basis of the determination threshold value linked to each of the position information items in the database, and the extracting unit extracts the feature from the image by using the determination threshold value adjusted by the determination threshold value adjusting unit.

Abstract: Described is a method for extraction of a region of interest (ROI) from a composite synthetic aperture radar (SAR) phase history data. The method comprising receiving, with a system comprising a processor, the composite SAR phase history data of a plurality of backscattered return signals produced by a SAR system illuminating a scene with a SAR beam. The method also comprises obtaining a location of a first ROI within the scene and extracting from the composite SAR phase history data a first component SAR phase history data corresponding to the ROI at the location of the ROI.

Abstract: Systems, devices, computer-implemented methods, and/or computer program products that can facilitate pedestrian detection via a boundary cylinder model are addressed. In one example, a system can comprise a processor that executes computer executable components stored in memory. The computer-executable components can comprise a bounding cylinder model component that determines numerical values for height and radius parameters of a three-dimensional bounding cylinder model representing a pedestrian, and that generates the three-dimensional bounding cylinder model representing the pedestrian based on the numerical values.

Abstract: In an embodiment, a method includes obtaining radiation emitted from a radiation source. The method includes modulating the radiation with a time-varying modulation to generate a time-varying illumination pattern with a known modulation. The illumination pattern includes a time-varying intensity for each of a plurality of spatial locations. The method includes illuminating a target volume with the illumination pattern. The method includes collecting a signal generated by one or more objects within the target volume in response to illumination by the illumination pattern. The method includes estimating a location of each of the one or more objects based on the collected signal and the known modulation.

Abstract: A video management apparatus 100a includes: an abnormality video registration unit 135 configured to associate a plurality of abnormality video data obtained in a respective plurality of first worksites at an abnormality occurrence time with the respective pieces of first worksite information related to safety of the respective first worksites, and to register the plurality of abnormality video data in an abnormality video database 125, in response to obtaining each of a plurality of pieces of abnormality occurrence information indicating abnormalities that have occurred at the respective plurality of first worksites; a notification processing unit 137 configured to notify a second terminal associated with a second worksite, of information related to the registration of these abnormality video data; and a video distribution processing unit 139 configured to distribute the abnormality video data associated with the second worksite from among the plurality of abnormality video data to the second terminal.

Abstract: An information display device for displaying activity schedule of an assigned user provided with one of seats in advance, detects position and direction of the information display device; acquires distance from the information display device to a display target seat of an assigned user whose activity schedule is to be displayed; uses the position, the direction, and the distance to calculate display seat position of the display target seat; extracts, from a table which registers assigned user information of assigned users of the seats in association with registration seat position of the seats, one piece of the assigned user information registered in association with one piece of the registration seat position which is closest to the display seat position; acquires current activity schedule registered in association with the one piece of the assigned user information; and displays the acquired activity schedule on a display unit.

Abstract: A work machine includes a manipulation device, a surrounding area monitoring device, and a controller. The manipulation device outputs a manipulation signal to operate the work machine. The surrounding area monitoring device serves as a device for detecting whether an object to be recognized is present or not inside a set region that is set in a surrounding area of the work machine. The controller controls the work machine. The controller is capable of switching a setting of an object sensing function between execution and non-execution, the object sensing function being to restrict movement of the work machine when it is detected that the object is present inside the set region. When the manipulation signal is detected in a state where the object sensing function is set at non-execution, the controller switches the setting of the object sensing function to execution.

Abstract: A system and method for real-time monitoring of personal protective equipment (PPE) compliance at a worksite. The system includes a processor, a host memory, a graphical processing unit (GPU), a GPU memory, a storage device, an input device, a plurality of cameras, and a display device. The system creates multiple inference engines and loads input frames from the storage device for pre-processing. The pre-processed frames are processed to obtain annotations and generate an output file. The system also includes a preparatory area and an operations area with cameras configured to capture and transmit video frames. The system can process input frames at a rate of at least 15 frames per second, providing real-time PPE compliance information.

Abstract: A monitoring system for obtaining a video related to medication adherence of a user, includes: a wireless communication device comprising a motion sensor, an ambient light sensor, a first transceiver transmitting data to an external device, and a first controller configured to control the motion sensor, the ambient light sensor, and the first transceiver, the wireless communication device having an attaching portion for being attached to an object containing a medication; and a wearable device including a camera, a second transceiver receiving a signal from the first transceiver, and a second controller configured to obtain video data through the camera based on the signal received through the second transceiver.

Abstract: A system and apparatus are disclosed herein for vehicle to everything (V2X) wireless communication. A V2X wireless transmit/receive unit (WTRU) may receive a vehicle to everything (V2X) message including configuration information and a road side unit (RSU) address. The WTRU may then transmit a message to the RSU according to the configuration information including multimedia broadcast multicast services (MBMS) data. The configuration information may include a MBMS service descriptor. One or more of the V2X messages may include priority information, WTRU type information, or both.

Abstract: A method for 2D semantic keypoint detection and tracking is described. The method includes learning embedded descriptors of salient object keypoints detected in previous images according to a descriptor embedding space model. The method also includes predicting, using a shared image encoder backbone, salient object keypoints within a current image of a video stream. The method further includes inferring an object represented by the predicted, salient object keypoints within the current image of the video stream. The method also includes tracking the inferred object by matching embedded descriptors of the predicted, salient object keypoints representing the inferred object within the previous images of the video stream based on the descriptor embedding space model.

Abstract: A system and method for a videostream is operating correctly. The system decompresses a compressed videostream which includes a compressed graphical timestamp, thereby resulting in a decompressed videostream with a decompressed graphical timestamp, the compressed timestamp and the decompressed graphical timestamp associated with an insert time. The system then renders the decompressed videostream, resulting in a rendered videostream with a rendered graphical timestamp. The system then extracts the rendered graphical timestamp from the rendered videostream at an extract time and determines whether a difference between the insert time of the rendered graphical timestamp and the extract time exceeds a predetermined threshold.