82 results about "Stream capture" patented technology

A live video stream captured by an on-device camera is displayed on a screen with an overlaid guideline. Video frames of the live video stream are analyzed for a video frame with acceptable quality. A text region is identified in the video frame approximate to the on-screen guideline and cropped from the video frame. The cropped image is transmitted to an optical character recognition (OCR) engine, which processes the cropped image and generates text in an editable symbolic form (the OCR'ed text). A confidence score is determined for the OCR'ed text and compared with a threshold value. If the confidence score exceeds the threshold value, the OCR'ed text is outputted.

Embodiments of the present invention introduce a user navigation interface that allows a user to monitor / navigate video streams captured from multiple cameras. It integrates video streams from multiple cameras with the semantic layout into a 3-D immersive environment and renders the video streams in multiple displays on a user navigation interface. It conveys the spatial distribution of the cameras as well as their fields of view and allows a user to navigate freely or switch among preset views. This description is not intended to be a complete description of, or limit the scope of, the invention. Other features, aspects, and objects of the invention can be obtained from a review of the specification, the figures, and the claims.

A computer implemented method, apparatus, and computer usable program product for optimizing loss leader merchandizing. The process parses event data to identify physical patterns of customer behavior, wherein the event data is derived from a continuous video stream captured at a retail facility, and associates the physical patterns of customer behavior with customer profile data to form dynamic customer profiles. The process then analyzes the dynamic customer profiles to identify types of customers and presents marketing incentives for a set of loss leader items to customers of a selected customer type, wherein the set of loss leader items are selected based on the dynamic profiles.

An interface and display of video from multiple fixed-position cameras is provided. A main video stream captured by a camera is selected to be the main video stream and is displayed to the interface. Video streams captured by the set of cameras and the main camera that are temporally related to the displayed main video stream are selected, including playback positions from one or more of a first segment of time in each of their respective video streams at the time of the main video stream, a second segment of time in each of their respective video streams prior to the time of the main video stream, and a third segment of time in each of their respective video streams after the time of the main video stream. The selected video streams are displayed to the interface in temporal relation to the display of the main video stream.

A system for processing a video stream is disclosed. The system includes a processing device configured for analyzing the surrounding environment represented in the video stream for at least one predetermined object. At least one predetermined object is identified within the surrounding environment. The object(s) to be identified may be predetermined based on at least one user preference. The system alerts the user once a predetermined object is identified. Information associated with identified predetermined object is presented to the user. In one embodiment, the information is presented via augmented reality such that one or more virtual objects are superimposed over the video stream. The virtual objects may be interactive.

An autonomous computer based method and system is described for personalized production of videos such as team sport videos such as basketball videos from multi-sensored data under limited display resolution. Embodiments of the present invention relate to the selection of a view to display from among the multiple video streams captured by the camera network. Technical solutions are provided to provide perceptual comfort as well as an efficient integration of contextual information, which is implemented, for example, by smoothing generated viewpoint / camera sequences to alleviate flickering visual artifacts and discontinuous story-telling artifacts. A design and implementation of the viewpoint selection process is disclosed that has been verified by experiments, which shows that the method and system of the present invention efficiently distribute the processing load across cameras, and effectively selects viewpoints that cover the team action at hand while avoiding major perceptual artifacts.

Generating 3D representations of a scene represented by a first video stream captured by video cameras. Identifying a transition between cameras, retrieving parameters of a first set of viewing configurations, providing 3D video representations representing the scene at several sets of viewing configurations different from the first set of viewing configurations, and generating an integrated video stream enabling 3D display of the scene by integration of at least two video streams having respective sets of viewing configurations, which are mutually different. Another provided process is for synthesizing an image of an object from a first image, captured by a certain camera at a first viewing configuration. Assigning a 3D model to a portion of a segmented object, calculating a modified image of the portion of the object from a viewing configuration different from the first viewing configuration, and embedding the modified image in a frame for stereoscopy.

A computer implemented method, apparatus, and computer usable program product for determining profitability of customer groups. The process parses event data to identify dynamic customer data, wherein the event data is derived from a continuous video stream captured at a retail facility. The process then combines the dynamic customer data with customer profile data to form dynamic customer profiles and analyzes the dynamic customer profiles to identify the customer groups. Thereafter, the process ranks the customer groups according to profitability of the customer groups.

A digital image capture device streams captured images (e.g. low-resolution images) to a remote viewer terminal, along with image identifiers and / or device position information. The remote viewer terminal displays the images for viewing by a remote viewer. The remote viewer provides inputs to a user interface, which indicate a direction of desired movement of the image capture device, and / or that the remote viewer wants new images (e.g. high-resolution images) to be captured at a desired position. The user interface inputs are translated into requests, which are transmitted to the image capture device. The image capture device provides movement prompts that direct a device operator to move the device in a requested direction or toward a requested position. When a position of the device corresponds to a requested image capture position, the image capture device captures one or more new images, and transmits the new images to the remote viewer terminal.

Embodiments of the present invention introduce a user navigation interface that allows a user to monitor / navigate video streams captured from multiple cameras. It integrates video streams from multiple cameras with the semantic layout into a 3-D immersive environment and renders the video streams in multiple displays on a user navigation interface. It conveys the spatial distribution of the cameras as well as their fields of view and allows a user to navigate freely or switch among preset views. This description is not intended to be a complete description of, or limit the scope of, the invention. Other features, aspects, and objects of the invention can be obtained from a review of the specification, the figures, and the claims.

A system for processing a video stream is disclosed. The system includes a processing device configured for analyzing the surrounding environment represented in the video stream for at least one marker that is indicative of an environmental characteristic. At least one marker is identified within the surrounding environment. Once identified, information associated with the environmental characteristic is presented to the user. In one embodiment, the information is presented via AR such that one or more virtual objects are superimposed over the video stream. The virtual objects may be interactive.

A system and method may analyse and display intestinal motility events, based on an image stream captured by an in vivo imaging device. According to some embodiments, the system includes a storage unit to store image frames from the image stream, a processor to select a strip of pixels from a plurality of image frames of the image stream and to align the selected strips adjacently to form a motility events bar, and a visual display unit for displaying the motility events bar to a user.

A method includes encoding, at a mobile device having a camera, a first portion of a media stream captured by the camera based on an encoding parameter. The method also includes sending the encoded first portion of the media stream from the mobile device to a computing device via a network connection. The method further includes detecting a change in available network bandwidth of the network connection. The method includes automatically adjusting the encoding parameter in response to the change in the available network bandwidth. The method also includes encoding a second portion of the media stream based on the adjusted encoding parameter and sending the encoded second portion of the media stream from the mobile device to the computing device.

A multiple video stream capture and encoding apparatus produces compressed data that represents multiple video streams capturing a common scene. Inages from multiple video streams are analyzed to identify image color segments that are encoded into a composite graph data structure. Corresponding image segments across the multiple video streams are also identified and represented by one node in the composite graph data structure. The composite graph data structure also includes links between pairs of nodes that describe the relationship between the image segments associated with those nodes. The composite graph data structure is updated to represent changes to the image segments in the multiple video streams over time. The composite graph data structure is used to create compressed encoded data for storage and / or transmission.

A system and method for generating 3D video from a plurality of 2D video streams is provided. A video capture device for capturing video to be transformed into 3D video includes a camera module for capturing a two-dimensional (2D) video stream, a location module for determining a location of the video capture device, an orientation module for determining an orientation of the video capture device, and a processing module for associating additional information with the 2D video stream captured by the camera module, the additional information including the orientation of the video capture device and the location of the video capture device.

A system and method for color correction of 3D images including at least two separate image streams captured for a same scene include determining three-dimensional properties of at least a portion of a selected image stream, the three-dimensional properties including light and surface reflectance properties, surface color, reflectance properties, scene geometry and the like. A look of the portion of the selected image stream is then modified by altering the value of at least one of the determined three-dimensional properties and, in one embodiment, applying image formation theory. The modifications are then rendered in an output 3D picture either automatically and / or according to user inputs. In various embodiments, corrections made to the selected one of the at least two image streams can be automatically applied to the other of the image streams.

A system and method to display an image stream captured by an in vivo imaging capsule may include selecting a first subset of images from an original image stream for display as a reduced image stream. The reduced image stream may be displayed in a main image window on a monitor. A second subset of images may be obtained by subtracting the first subset of images from the original image stream. An image from the first subset of images may be selected for display in the main image window during a first time slot, and an image from the second subset of images is selected for display in a peripheral window. The selected images may be displayed simultaneously.

A multi-camera capture system includes an audio synchronization marker to provide synchronization marks with the video streams captured by the multi-camera capture system. In one embodiment of the present invention, the audio synchronization marker generate a plurality of substantially similar synchronizing audio signals. Each camera of the multi-camera capture system records a synchronizing audio signal with the video stream captured by the camera. The synchronizing audio signals contain synchronization marks which are used to synchronize the video streams of the cameras.

A system and method may allow editing of an image stream, which may be produced by, for example, an ingestible capsule. A workstation accepts images acquired by the capsule and displays the images on a monitor as a moving image. The editing method may include, for example, selecting images which follow or conform to a combination of a plurality of predetermined criteria. A shortened movie may thus be created.

Various embodiments of the invention provide a facility for monitoring audio events on a computer, including without limitation voice conversations (which often are carried on a digital transport platform, such as VoIP and / or other technologies). In a set of embodiments, a system intercepts the audio streams that flow into and out of an application program on a monitored client computer, for instance by inserting an audio stream capture program between a monitored application and the function calls in the audio driver libraries used by the application program to handle the audio streams. In some cases, this intercept does not disrupt the normal operation of the application. Optionally, the audio stream capture program takes the input and output audio streams and passes them through audio mixer and audio compression programs to yield a condensed recording of the original conversation.

Method, devices, systems, and computer program products for managing and delivering a live media stream associated with a network-enabled media recording device are provided. A method includes receiving a network address for transmitting the live media stream captured by the network-enabled media recording device. The method also includes assigning a user identification to the live media stream. The user identification is associated with the network-enabled media recording device. The method further includes transmitting the live media stream and user identification via the network-enabled media recording device over a network.

A computer implemented method, apparatus, and computer usable program product for optimizing loss leader merchandizing. The process parses event data to identify physical patterns of customer behavior, wherein the event data is derived from a continuous video stream captured at a retail facility, and associates the physical patterns of customer behavior with customer profile data to form dynamic customer profiles. The process then analyzes the dynamic customer profiles to identify types of customers and presents marketing incentives for a set of loss leader items to customers of a selected customer type, wherein the set of loss leader items are selected based on the dynamic profiles.

A multiple video stream capture and encoding apparatus produces compressed data that represents multiple video streams capturing a common scene. Images from multiple video streams are analyzed to identify image color segments that are encoded into a composite graph data structure. Corresponding image segments across the multiple video streams are also identified and represented by one node in the composite graph data structure. The composite graph data structure also includes links between pairs of nodes that describe the relationship between the image segments associated with those nodes. The composite graph data structure is updated to represent changes to the image segments in the multiple video streams over time. The composite graph data structure is used to create compressed encoded data for storage and / or transmission.

System and methods are disclosed for stitching a plurality of video streams to generate a wide field video stream. The wide field video stream may be created by obtaining multiple video streams that correspond to a common period in time at which portion of the multiple video streams were captured. A reference instant the pertains to a common period of time order may be determined to help stitch the images corresponding to the video streams in chronological order. A reference value is then calculated for a construction parameter of one or more images from the multiple video streams captured at times that correspond to the determined reference instant. A panoramic image is then constructed by stitching together the images that correspond to the determined reference instant, thus further generating a wide field video stream.

The presently disclosed inventive concepts encompass capturing video data using a mobile device, streaming the captured video data to a server for processing of the video data in real-time or near-real time, and providing the server's processing result to the mobile device for additional analysis and / or processing of the captured video data, the processing result, or both. In one embodiment an image processing server is configured to: process, in real time, input streamed to the server from a mobile device, the input comprising one or more frames of digital video data; and output a result of processing the input to the mobile device. In another embodiment, a method includes capturing video data using a mobile device, streaming the video data to an image processing server, receiving a processing result from the server, and further processing the captured video data and / or the processing result using the mobile device.

It is provided a method for converting video streams capturing a scene to video streams fitting a viewpoint configuration. The video streams are provided by video cameras, and the method includes receiving parameters associated with the viewpoint configuration, and converting video streams of the scene as captured by the video cameras to video streams fitting the viewpoint configuration. The viewpoint configuration may be a dynamic viewpoint configuration determined by a joystick module. The converting may be done using a three dimensional method, and includes separating objects of the scene from other portions of the scene. The method may includes integrating the scene into the video stream of a certain scene associated with the viewpoint configuration. Sometimes the viewpoint configuration includes a varying zoom and the converting is done using one of several methods, transition between adjacent video cameras having different zoom values, real zooming of a video camera having a motorized zoom, and digital zooming in of video streams. The converting may be done on video streams which have been captured the scene in advance before commencing the converting.

Receive first context information including sensor information values from in-field sensors and a time associated with a capture of the first context information. Access a context to detectable event mapping that maps sets of sensor information values to events and identify a particular event associated with the received first context information. Determine a geographic location associated with the in-field sensors and access an imaging camera location database and identify particular imaging cameras that have a field of view including the determined geographic location during the time associated with the capture of the first context information. Retrieve audio and / or video streams captured by the particular imaging cameras, identify machine learning training modules corresponding to machine learning models for detecting the particular event in audio and / or video streams, and provide the audio and / or video streams to the machine learning training modules for further training of the corresponding machine learning models.

A system and method for dynamically ordering video streams on display in a command and control system according to video content, including obtaining a plurality of video streams captured by a plurality of respective video cameras; extracting features from the plurality of video streams; calculating abnormality scores for the extracted features, wherein each abnormality score measures a likelihood that a corresponding feature is an abnormal feature; calculating a current rank for ordering each of the plurality of video streams based on current and past abnormality scores of the features extracted from the video stream; and displaying a subgroup of the plurality of video streams having the highest subset of current ranks based on abnormality scores.