3490 results about "Multiple frame" patented technology

Image processing enhances display quality by controlling both the image modulator and the light sources to produce the best possible visual images. The image processing system utilizes a combination of user inputs, system configuration, design information, sensor feedback, pixel modulation information, and lighting control information to characterize the display environment on a per pixel basis. This per pixel characterization information is combined with one or more frames of the incoming real time display data. The image processing system processes each incoming pixel and produces a modified corresponding output pixel. Each pixel of each frame is processed accordingly. In addition to producing modified output pixels, the image processing system produces control information for the light sources. The light source control information can control individual lamps, tubes or LEDs, or can control a block or subset of the light sources. The resulting display has improved image consistency, enhanced color gamut, higher dynamic range and is better able to portray high motion content.

Techniques for multiplexing and transmitting multiple data streams are described. Transmission of the multiple data streams occurs in “super-frames”. Each super-frame has a predetermined time duration and is further divided into multiple (e.g., four) frames. Each data block for each data stream is outer encoded to generate a corresponding code block. Each code block is partitioned into multiple subblocks, and each data packet in each code block is inner encoded and modulated to generate modulation symbols for the packet. The multiple subblocks for each code block are transmitted in the multiple frames of the same super-frame, one subblock per frame. Each data stream is allocated a number of transmission units in each super-frame and is assigned specific transmission units to achieve efficient packing. A wireless device can select and receive individual data streams.

The present invention includes a method of displaying for a viewer summary information relating to programming available on an interactive television or televideo system. In a preferred embodiment, the method includes obtaining a user selection indication corresponding to a scheduled program selected by the viewer from a programming guide. Based on the user selection indication, the interactive television system accesses summary information relating specifically to the program selected by the viewer. The summary information preferably includes a text description of the programming and display imagery relating to the programming. The display imagery may include a multi-frame video sequence of or relating to the programming or a still video image.

A method for replacing a face in a first digital image with a face from a second digital image including automatically detecting one or more faces in the first digital image; identifying at least one target face from the detected faces that needs to be replaced; automatically detecting one or more faces in the second digital image; identifying at least one source face from the second image detected faces for replacing the target face; using features from the target and source faces to perform facial geometry and appearance corrections to the source face; and replacing the target face with the corrected source face and blending the corrected source face into the first digital image.

PCT No. PCT / EP96 / 01272 Sec. 371 Date Nov. 21, 1997 Sec. 102(e) Date Nov. 21, 1997 PCT Filed Mar. 22, 1996 PCT Pub. No. WO96 / 29679 PCT Pub. Date Sep. 26, 1996The present invention concerns improved motion estimation in signal records. A method for estimating motion between one reference image and each frame in a sequence of frames, each frame consisting of a plurality of samples of an input signal comprises the steps of: transforming the estimated motion fields into a motion matrix, wherein each row corresponds to one frame, and each row contains each component of motion vector for each element of the reference image; performing a Principal Component Analysis of the motion matrix, thereby obtaining a motion score matrix consisting of a plurality of column vectors called motion score vectors and a motion loading matrix consisting of a plurality of row vectors called motion loading vectors, such that each motion score vector corresponds to one element for each frame, such that each element of each motion loading vector corresponds to one element of the reference image, such that one column of said motion score matrix and one motion loading vector together constitute a factor, and such that the number of factors is lower than or equal to the number of said frames; wherein the results from the Principal Component Analysis on the motion matrix are used to influence further estimation of motion from the reference image to one or more of the frames.

Tissue visualization devices having multi-segmented frame are described herein where such devices may utilize multiple expanding frame members coupled to a flexible deployment catheter shaft or rigid shaft. The multiple frame members may extend distally to collapse into a low-profile configuration and may further expand or open radially to create a working field between the frame members. Moreover, the distal ends of each frame member may be tapered such that the frame members may close tightly relative to one another forming an atraumatic end. Additionally, any number of therapeutic tools can also be passed through the catheter or shaft for performing any number of procedures on the tissue for identifying, locating, and / or treating tissue.

A method of combining image data from multiple frames to enhance one or more parameters of video image quality includes acquiring a first image at a first exposure duration, as well as acquiring a second image at a second exposure duration shorter than the first exposure duration and at a time just before, just after or overlapping in time with acquiring the first image, such that the first and second images include approximately a same first scene. In this way, the second image is relatively sharp and under-exposed, while the first image is relatively well-exposed and less sharp than the second image. Brightness and / or color information are extracted from the first image and applied to the second image to generate an enhanced version of the second image.

A wireless access system having a subscriber subsystem gateway (20) and a wireless router (30) in communication with the gateway via a two-way radio channel (25) according to a communication protocol. The communication protocol has a medium access control (MAC) layer (602, 603, 604, 605) capable of supporting several different network layer frame types (610-612 and 613-615) and includes a MAC layer header (800) having a frame type indicator (801), so that multiple frames of differing frame types are communicated contiguously over the radio channel separated by MAC layer headers.

Scenes from motion pictures to be colorized are broken up into separate elements, composed of backgrounds / sets or motion / onscreen-action. These background and motion elements are combined into single frame representations of multiple frames as tiled frame sets or as a single frame composite of all elements (i.e., both motion and background) that then becomes a visual reference database that includes data for all frame offsets which are later used for the computer controlled application of masks within a sequence of frames. Each pixel address within the visual reference database corresponds to a mask / lookup table address within the digital frame and X, Y, Z location of subsequent frames that were used to create the visual reference database. Masks are applied to subsequent frames of motion objects based on various differentiating image processing methods. The gray scale determines the mask and corresponding color lookup from frame to frame as applied in a keying fashion.

A system and method are provided for tracking a face moving through multiple frames of a video sequence. A predicted position of a face in a video frame is obtained. Similarity matching for both a color model and an edge model are performed to derive correlation values for each about the predicted position. The correlation values are then combined to determine a best position and scale match to track a face in the video.

In some embodiments, the invention includes receiving a digital image including text and background. The method includes vector quantizing the digital image such that the digital image is divided into certain colors, and creating a text color histogram from a portion of the text and a first portion of the background. The method also includes creating at least one background color histogram from a second portion of the background, and creating a difference color histogram from a difference between the text color histogram and the at least one background color histogram, and wherein an estimated color of the text is derived from the difference color histogram. In other embodiments, the invention includes receiving a text object including bounding boxes of multiple frames of a video signal. The method further includes estimating a color of text of the bounding boxes and aligning blocks representing the bounding boxes through a best displacement search in which only pixels having a color within a threshold of an estimated color are considered. Some embodiments of the invention also include receiving digital images in text bounding boxes and in preparation for a segmentation process, adjusting sizes of the digital images to a fixed height.

Simultaneous tracking of multiple objects in a sequence of video frames captured by multiple cameras may be accomplished by extracting a foreground elements from a background in a frame, segmenting objects from the foreground surface, tracking objects within the frame, globally tracking positions of objects over time across multiple frames, fusing track data of objects obtained from multiple cameras to infer object positions, and resolving conflicts to estimate most likely object positions over time. Embodiments of the present invention improve substantially over existing trackers by including a technique for extraction of the region of interest that corresponds to a playing field, a technique for segmenting players from the field under varying illuminations, a template matching criteria that does not rely on specific shapes or color coherency of objects but on connected component properties, and techniques for reasoning about occlusions and consolidating tracking data from multiple cameras.

An apparatus and a concomitant method for detecting and recognizing text information in a captured imagery. The present method transforms the image of the text to a normalized coordinate system before performing OCR, thereby yielding more robust recognition performance. The present invention also combines OCR results from multiple frames, in a manner that takes the best recognition results from each frame and forms a single result that can be more accurate than the results from any of the individual frames.

Embodiments of the present invention include enhanced functionalities and components within a Communication Endpoint Processor (CEP) that act as an interface between computational and communications domains. The embodiments disclosed herein deliver a complete memory mapped high performance interface that has the ability to support the simultaneous transmission of multiple frames of multiple sizes, and that has the ability to interrupt the transmission of lower priority frames in order to send higher priority frames.

A system for estimation vehicle dynamics, including vehicle position and velocity, using a stationary object. The system includes an object sensor that provides object signals of the stationary object. The system also includes in-vehicle sensors that provide signals representative of vehicle motion. The system also includes an association processor that receives the object signals, and provides object tracking through multiple frames of data. The system also includes a longitudinal state estimation processor that receives the object signals and the sensor signals, and provides a correction of the vehicle speed in a forward direction. The system also includes a lateral state estimation processor that receives the object signals and the sensor signals, and provides a correction of the vehicle speed in the lateral direction.

A wireless access system having a subscriber subsystem gateway (20) and a wireless router (30) in communication with the gateway via a two-way radio channel (25) according to a communication protocol. The communication protocol has a medium access control (MAC) layer (602, 603, 604, 605) capable of supporting several different network layer frame types (610-612 and 613-615) and includes a MAC layer header (800) having a frame type indicator (801), so that multiple frames of differing frame types are communicated contiguously over the radio channel separated by MAC layer headers.

The invention discloses a remote obstacle detection method based on laser radar multi-frame point cloud fusion. A local coordinate system and a world coordinate system are established, an extraction feature point of each laser point is calculated on an annular scanning line of the laser radar according to the original point cloud data under the local coordinate system, and the global pose of the current position relative to the initial position and the de-distortion point cloud in the world coordinate system are obtained through inter-frame feature point matching and map feature point matching; the de-distortion point clouds of the current frame and the previous frame are fused to obtain more compact de-distortion point cloud data, which is unified to the local coordinate system, then projection is performed on two-dimensional grids, and an obstacle is screened according to the height change features of each two-dimensional grid. According to the method in the invention, the problem that the detection rate of the remote barrier caused by sparse laser point clouds is low is solved, the remote barriers can be effectively detected, the error detection rate and the leak detection rateare low, and the system cost can be greatly reduced.

The invention relates to a three-dimensional model reconstruction method and system. The method comprises the following steps: S1, performing image acqusition on a target by using at least one depth camera to acquire a depth image of the target; S2, preprocessing the acquired depth image; S3, acquiring dense point cloud data according to the depth image of the target to reconstruct a target depth information point cloud grid; S4, combining and registering the multiple frames of reconstructed depth images to obtain a three-dimensional model. By implementing the method and the system, the accurate three-dimensional model of the target can be acquired without manually marking the target.

A modular enclosure system for electronic equipment is disclosed as is a process for assembling such a system. The basic element of the system is a frame unit which forms a chamber of the electronic equipment. Each frame unit has front, rear and side openings. Around each opening is a flange and a push-on bulb seal. A generally rectangular cross-sectioned seal is adhered to corner posts of the frame unit. Doors are mounted to the frame unit to seal the front and rear openings by compressing respective bulb seals. Side panels are mounted to the frame unit to cover side openings of a single or multi-frame unit system and the side panel compress both types of seals mentioned above. Bridge panels connect adjoining, alinged frame units and compress the rectangular seals and also result in bulb seals mounted around adjoining side openings of adjoining frame units to compress each other. Battery housings, covers and skids are also connected to aligned frame units as is a single cap panel. The system is simple, economical, easy to handle, east to install and easy to expand.

A method and apparatus for the investigation of an object or an event in a video clip, by playing video clips of the object or objects associated with the events. The video frames comprised within the video clips comprise information regarding the creation time and coordinates of the objects appearing in multiple frames, thus enabling an operator to immediately play video clips tracking the object starting at the object's creation time within the field of view, until its disappearance from the field of view. By defining neighboring regions, and keeping the creation time of each object within each video stream, an object is tracked between different fields of view.

An image processing device that joins together multiple scenes extracted from a video image, wherein scene information that indicates characteristics of the multiple scenes is extracted from multiple frame images that comprise the video image, where, when two scenes are to be joined together multiple types of transition effects to be used in the changing of the scenes is stored in advance, and a specific transition effect is selected, based on the extracted scene information, from the transition effects that have been stored in advance. For example, effects such as a slide or a wipe are selected based on the characteristics of the video image, such as the direction of movement of an object. The specific transition effect that has been selected is used to join together the two scenes. The result is that it is possible to set up effective scene changes to enable each scene to be joined together.

Image processing enhances display quality by controlling both the image modulator and the light sources.The image processing system utilizes a combination of user inputs, system configuration, design information, sensor feedback, pixel modulation information, and lighting control information to characterize the display environment on a per pixel basis. This per pixel characterization information is combined with one or more frames of the incoming real time display data. The image processing system processes each incoming pixel and produces a modified corresponding output pixel. Each pixel of each frame is processed accordingly.The image processing system also produces control information for the light sources. The light source control information can control individual lamps, tubes or LEDs, or can control a block or subset of the light sources. The resulting display has improved image consistency, enhanced color gamut, higher dynamic range and is better able to portray high motion content.

The invention relates to a driver fatigue detection method based on face video analysis, belonging to the field of vehicle active safety and mode recognition. The method comprises the steps of: carrying out face detection on a face image to be detected for primarily positioning local organs, such as eyes, nose and mouth; further obtaining face characteristic points positioned accurately; and finally, on the basis of an accurate positioning result of multiple frames of face characteristic points to be detected, carrying out quantization description on a face motion characteristic, and obtaining the result of fatigue detection on a driver to be detected according to a face motion statistical indicator. The driver fatigue detection method has high reliability, has no special requirements on hardware, does not involve complex operation, and has good instantaneity so as to be applied in real time in practice. The driver fatigue detection method has better robustness on the aspects of eyeglasses wearing, face angles, nonuniform illumination and the like, and can be suitable for various types of vehicles for reminding a driver of being in a fatigue state so that traffic accidents are avoided.

Among pickup image data items of multiple frames picked up at different time instants, an image of a certain frame is regarded as a synthesizing base image. The synthesizing base image and an image of another frame are used to perform synthesizing processing. Specifically, an object-of-synthesis area is designated in the frame image regarded as the synthesizing base image, and processing of replacing pixel data in the object-of-synthesis area with pixel data in another frame is carried out. For example, if a person having his / her eyes closed appears in the synthesizing base image that is a group-photograph image, the part of the person's face is regarded as the object-of-synthesis area. As another frame, an image in which the person has his / her eyes left open is searched. Pixel data in the facial image part showing the open eyes is fetched and synthesized with the synthesizing base image. Thus, a group photograph in which all people have their eyes left open is produced.

The invention discloses a method and a system for detecting voice spoofing attack of speakers on the basis of deep learning. The method includes constructing audio-frequency training sets, initializing deep feed-forward neural networks and deep recurrent neural networks and respectively training the deep feed-forward neural networks and the deep recurrent neural networks by the aid of multi-frame feature vectors and single-frame vector sequences of the training sets; respectively leading frame level and sequence level feature vectors of to-be-tested audio frequencies into two trained linear differential analysis models in test phases, weighting two obtained result grades to obtain scores and comparing the scores to predefined threshold values so as to discriminate voice spoofing. The method and the system have the advantages that local features can be captured, and global information can be grasped; the linear differential analysis models are used as classifiers in identification and verification phases, the voice spoofing attack can be judged by means of grade fusion, and accordingly the voice spoofing detection accuracy can be greatly improved.