6549 results about "Video based" patented technology

A video gesture-based three-dimensional computer interface system that uses images of hand gestures to control a computer and that tracks motion of the user's hand or a portion thereof in a three-dimensional coordinate system with ten degrees of freedom. The system includes a computer with image processing capabilities and at least two cameras connected to the computer. During operation of the system, hand images from the cameras are continually converted to a digital format and input to the computer for processing. The results of the processing and attempted recognition of each image are then sent to an application or the like executed by the computer for performing various functions or operations. When the computer recognizes a hand gesture as a "point" gesture with one or two extended fingers, the computer uses information derived from the images to track three-dimensional coordinates of each extended finger of the user's hand with five degrees of freedom. The computer utilizes two-dimensional images obtained by each camera to derive three-dimensional position (in an x, y, z coordinate system) and orientation (azimuth and elevation angles) coordinates of each extended finger.

Computer display privacy and security for computer systems. In one aspect, the invention provides a computer-controlled system for regulating the interaction between a computer and a user of the computer based on the environment of the computer and the user. For example, the computer-controlled system provided by the invention comprises an input-output device including an image sensor configured to collect facial recognition data proximate to the computer. The system also includes a user security parameter database encoding security parameters associated with the user; the database is also configured to communicate with the security processor. The security processor is configured to receive the facial recognition data and the security parameters associated with the user, and is further configured to at least partially control the operation of the data input device and the data output device in response to the facial recognition data and the security parameters associated with the user.

Position information of equipment at an event, such as a ball, one or more players, or other items in a game or sporting event, is used in selecting camera, camera shot type, camera angle, audio signals, and/or other output data for providing a multimedia presentation of the event to a viewer. The position information is used to determine the desired viewer perspective. A network of feedback robotically controlled Pan-Tilt-Zoom (PTZ), manually controlled cameras and stationary cameras work together with interpolation techniques to create a 2D video signal. The position information may also be used to access gaming rules and assist officiating of the event. The position information may be obtained through a transceiver(s), accelerometer(s), transponder(s), and/or RADAR detectable element(s) fitted into the ball, apparel or equipment of players, the players themselves, or other playing equipment associated with the game or sporting event. Other positioning methods that can be used include infrared video-based tracking systems, SONAR positioning system(s), LIDAR positioning systems, and digital signal processing (DSP) image processing techniques such as triangulation.

A multi-display system includes a host system that supports both graphics and video based frames for multiple remote displays, multiple users or a combination of the two. For each display and for each frame, a multi-display processor responsively manages each necessary aspect of the remote display frame. The necessary portions of the remote display frame are further processed, encoded and where necessary, transmitted over a network to the remote display for each user. In some embodiments, the host system manages a remote desktop protocol and can still transmit encoded video or encoded frame information where the encoded video may be generated within the host system or provided from an external program source. Embodiments integrate the multi-display processor with either the video decoder unit, graphics processing unit, network controller, main memory controller, or any combination thereof The encoding process is optimized for network traffic and attention is paid to assure that all users have low latency interactive capabilities.

Methods, systems, and devices are disclosed for transforming product code snapshots into real-time, offer-driven electronic purchase transaction notifications that minimize fraud. In one embodiment, a smart phone scans a product identifier from a product package, a server accesses a products database for product purchase offers associated with the product identifier, a user authorizes a credit card from his or her wallet to charge, and then product purchase offers or other credit card offers (for loyalty points or otherwise) are provided to the user mobile device. After a user has purchased an item while in the aisle of the store, the user's smart phone displays a barcoded electronic receipt that can be scanned by the exit so that the consumer can walk out with the produce. In some embodiments, a video chat is requested by a customer service representative and a transaction risk score is lowered based on acceptance of the video chat.

Video surveillance data is received from multiple disparate, unaffiliated locations at which various items are offered for sale. Based on the content of the video surveillance data, consumer preference behavior is characterized with respect to at least some of the items. The data is consolidated and can be made available for analysis.

Video and audio signals are streamed to remote viewers that are connected to a communication network. A host server receives an originating video and audio signal that may arrive from a single source or from a plurality of independent sources. The host server provides any combination of the originating video and audio signals to viewers connected to a communication network. A viewer requests the host server provide a combination of video and audio signals from the host server. The host server transmits an instruction set to be executed by the viewer. The instruction set causes the viewer to transmit parameters to the host user, including parameters relating to the processing capabilities of the viewer. The host server then transmits multimedia data to the viewer according to the received parameters. A plurality of viewers may be simultaneously connected to the host server. Each of the plurality of viewers may configure the received video and audio signals independent of any other viewer and may generate alerts based on the video and audio content.

A technique for video processing includes: receiving video from a scene; detecting moving pixels in the video; detecting line segments or motion blocks in the video based on the detected moving pixels; identifying targets in the video based on the detected line segments or motion blocks; tracking targets in the video based on the identified targets; and managing the tracked targets in the video.

A video surveillance system comprises a sensing unit capable of being operated in a first mode and second mode and a computer system coupled to the sensing unit. The computer system is adapted to receive and process image data from the sensing unit, to detect and track targets, and to determine whether the sensing unit operates in the first mode or in the second mode based on the detection and tracking of targets.

A surveillance system and method for the automatic detection of potential alarm situation via a recorded surveillance content analysis and for the management of the detected unattended object situation. The system and method are operative in capturing surveillance content, analyzing the captured content and providing in real time a set of alarm messages to a set of diverse devices. The system provides event based debriefing according to captured objects captured by one or more cameras covering different scenes. The invention is implemented in the context of unattended objects (such as luggage, vehicles or persons), parking or driving in restricted zones, controlling access of persons into restricted zones, preventing loss of objects such as luggage or persons and counting of persons.

Systems and methods for automatically matching in real-time an advertisement with a video desired to be viewed by a user are provided. A database is created that stores one or more attributes (e.g., visual metadata relating to objects, faces, scene classifications, pornography detection, scene segmentation, production quality, fingerprinting) associated with a plurality of videos. Supervised machine learning can be used to create signatures that uniquely identify particular attributes of interest, which can then be used to generate the attributes associated with the plurality of videos. When a user requests to view an on-line video having associated with it an advertisement, an advertisement can be selected for display with the video based on matching an advertiser's requirements or campaign parameters with the stored attributes associated with the requested video, with the user's information, or a combination thereof. The displayed advertisement can function as a hyperlink that allows a user to select to receive additional information about the advertisement. The performance or effectiveness of the selected advertisements can be measured and recorded.

A graphic and video are blended by controlling the relative transparency of corresponding pixels in the graphic and the video through the use of blending coefficients. One example of a blending coefficient is an alpha signal used in conjunction with a keyer. The value of a blending coefficient for a pixel in the graphic is based on the luminance and chrominance characteristics of a neighborhood of pixels in the video. Inclusions and exclusions are set up which define how the neighborhood of pixels is used to create or change a particular blending characteristic.

Techniques for generating timelines and event logs from one or more fixed-position cameras based on the identification of activity in the video are presented. Various embodiments of the invention include an assessment of the importance of the activity, the creation of a timeline identifying events of interest, and interaction techniques for seeing more details of an event or alternate views of the video. In one embodiment, motion detection is used to determine activity in one or more synchronized video streams. In another embodiment, events are determined based on periods of activity and assigned importance assessments based on the activity, important locations in the video streams, and events from other sensors. In different embodiments, the interface consists of a timeline, event log, and map.

The present disclosure relates to systems and methods for classifying videos based on video content. For a given video file including a plurality of frames, a subset of frames is extracted for processing. Frames that are too dark, blurry, or otherwise poor classification candidates are discarded from the subset. Generally, material classification scores that describe type of material content likely included in each frame are calculated for the remaining frames in the subset. The material classification scores are used to generate material arrangement vectors that represent the spatial arrangement of material content in each frame. The material arrangement vectors are subsequently classified to generate a scene classification score vector for each frame. The scene classification results are averaged (or otherwise processed) across all frames in the subset to associate the video file with one or more predefined scene categories related to overall types of scene content of the video file.

A video compression method, and more particularly, a prediction method for efficiently eliminating redundancy within a video frame, and a video compression method and an apparatus using the prediction method are provided. There is provided a method for encoding video based on a multi-layer structure, including performing intra-prediction on a current intra-block using images of neighboring intra-blocks of the current intra-block to obtain a prediction residual, performing prediction on the current intra-block using an image of a lower layer region corresponding to the current intra-block to obtain a prediction residual, selecting one of the two prediction residuals that offers higher coding efficiency, and encoding the selected prediction residual.

Systems and methods for measuring overlay error in a video-based augmented reality enhanced surgical navigation system are presented. In exemplary embodiments of the present invention the system and method include providing a test object, creating a virtual object which is a computer model of the test object, registering the test object, capturing images of control points on the test object at various positions within an augmented reality system's measurement space, and extracting positions of control points on the test object from the captured images, calculating the positions of the control points in virtual image, and calculating the positional difference of positions of corresponding control points between the respective video and virtual images of the test object. The method and system can further assess if the overlay accuracy meets an acceptable standard. In exemplary embodiments of the present invention a method and system are provided to identify the various sources of error in such systems and assess their effects on system accuracy. In exemplary embodiments of the present invention, after the accuracy of an AR system is determined, the AR system may be used as a tool to evaluate the accuracy of other processes in a given application, such as registration error.

The present disclosure relates to systems and methods for modeling, recognizing, and tracking object images in video files. In one embodiment, a video file, which includes a plurality of frames, is received. An image of an object is extracted from a particular frame in the video file, and a subsequent image is also extracted from a subsequent frame. A similarity value is then calculated between the extracted images from the particular frame and subsequent frame. If the calculated similarity value exceeds a predetermined similarity threshold, the extracted object images are assigned to an object group. The object group is used to generate an object model associated with images in the group, wherein the model is comprised of image features extracted from optimal object images in the object group. Optimal images from the group are also used for comparison to other object models for purposes of identifying images.

An immersive audio-visual system (and a method) for creating an enhanced interactive and immersive audio-visual environment is disclosed. The immersive audio-visual environment enables participants to enjoy true interactive, immersive audio-visual reality experience in a variety of applications. The immersive audio-visual system comprises an immersive video system, an immersive audio system and an immersive audio-visual production system. The video system creates immersive stereoscopic videos that mix live videos, computer generated graphic images and human interactions with the system. The immersive audio system creates immersive sounds with each sound resource positioned correct with respect to the position of an associated participant in a video scene. The immersive audio-video production system produces an enhanced immersive audio and videos based on the generated immersive stereoscopic videos and immersive sounds. A variety of applications are enabled by the immersive audio-visual production including casino-type interactive gaming system and training system.

A system, computer readable storage medium, and computer-implemented method presents video search results responsive to a user keyword query. The video hosting system uses a machine learning process to learn a feature-keyword model associating features of media content from a labeled training dataset with keywords descriptive of their content. The system uses the learned model to provide video search results relevant to a keyword query based on features found in the videos. Furthermore, the system determines and presents one or more thumbnail images representative of the video using the learned model.

A computer implemented method of performing video surveillance on a computer system, wherein the computer system comprises a video and a display with a graphical user interface, the graphical user interface including a source window to view play back of the video, the surveillance method comprising: determining an area of interest of a frame of the video based upon a selection of the area of interest within the source window, and generating a plurality of windows within the graphical user interface, each of the windows displaying the area of interest of the frame of the video at a point in time, wherein the graphical user interface includes controls to manipulate the playback of the video from a point in time relative to each displayed portion.

A video-on-demand (VOD) system is disclosed and method for providing a real-time VOD experience using Tempo-Differential file transfer with various buffering techniques and an adaptive file distribution system. The system is configured to populate users' Set-Top-Boxes (STBs) with a set of videos which correspond to the individual user's preferences, and populates a Central Office Storage (COS) server with a larger set of videos based on an analysis of all of the users' preferences. The system thus provides a real time VOD service by either correctly predicting the videos that a user will request and preloading them onto that user's STB, or by delivering the requested video from the COS to the STB using a Tempo-Differential file transfer which delays the playing of the requested video while video trailers or other information is displayed on the video screen. When using a DSL connection to the COS, only a portion of the requested video needs to be buffered on the STB before the requested video begins playing. Accordingly, by predicting which videos a user will request and by using the Temp-Differential file transfer, a real time VOD experience is achieved.

Metadata associated with a video is used to enhance a display of the video. A fingerprint is calculated using a particular fingerprint algorithm for one or more frames or images of the video. The fingerprint is associated with metadata for the one or more frames or images, and the fingerprint and the associated metadata are stored in a metadata repository. When a user requests enhancement of a video at a client device, the client device will calculate a fingerprint for one or more frames or images of the video to be enhanced using the same fingerprint algorithm and use the calculated fingerprint to access metadata associated with that fingerprint in the metadata repository. The accessed metadata is used to enhance a display of the video based on the user request.

A video summary method comprises dividing a video into a plurality of video shots, analyzing each frame in a video shot from the plurality of video shots, determining a saliency of each frame of the video shot, determining a key frame of the video shot based on the saliency of each frame of the video shot, extracting visual features from the key frame and performing shot clustering of the plurality of video shots to determine concept patterns based on the visual features. The method further comprises fusing different concept patterns using a saliency tuning method and generating a summary of the video based upon a global optimization method.

An electronic device includes digital image sensors to capture visual media, a display to present the visual media from the digital image sensors and a touch controller to identify haptic contact engagement, haptic contact persistence and haptic contact release on the display. A visual media capture controller alternately records the visual media as a photograph or a video based upon an evaluation of the time period between the haptic contact engagement and the haptic contact release.

A system and method for dynamically providing video segment recommendations to a user based on video metadata, current playback position within the video, and/or the user's previous viewing history or patterns. The system/method also provides the user with a simple mechanism to enable/disable receipt of these recommendations with the click of a button within the display interface.

Players are enabled to participate in competitive challenges within a videogame. The challenges may provide for interactive play between players while the players play the videogame in an asynchronous manner. The challenges may be based on actual performances of one or more tasks by the players within the videogame. The tasks may include, for example, one or more of a race, a battle, a fight, a musical performance (or simulated music performance), a puzzle, and/or other objectives or tasks.