995 results about "Reference frame" patented technology

An improved system and method for providing improved inter-layer prediction for extended spatial scalability in video coding, as well as improving inter-layer prediction for motion vectors in the case of extended spatial scalability. In various embodiments, for the prediction of macroblock mode, the actual reference frame index and motion vectors from the base layer are used in determining if two blocks should be merged. Additionally, multiple representative pixels in a 4×4 block can be used to represent each 4×4 block in a virtual base layer macroblock. The partition and motion vector information for the relevant block in the virtual base layer macroblock can be derived from all of the partition information and motion vectors of those 4×4 blocks.

The invention discloses a fast monocular vision odometer navigation and positioning method fusing a feature point method and a direct method, which comprises the following steps: S1, starting the vision odometer and obtaining a first frame image I1, converting the image I1 into a gray scale image, extracting ORB feature points, and constructing an initialization key frame; 2, judging whether thatinitialization has been carry out; If it has been initialized, it goes to step S6, otherwise, it goes to step S3; 3, defining a reference frame and a current frame, extracting ORB feature and matchingfeatures; 4, simultaneously calculating a homography matrix H and a base matrix F by a parallel thread, calculating a judgment model score RH, if RH is great than a threshold value, selecting a homography matrix H, otherwise selecting a base matrix F, and estimating a camera motion according to that selected model; 5, obtaining that pose of the camera and the initial 3D point; 6, judging whetherthat feature point have been extracted, if the feature points have not been extracted, the direct method is used for tracking, otherwise, the feature point method is used for tracking; S7, completingthe initial camera pose estimation. The invention can more precisely carry out navigation and positioning.

A method comprising determining coordinates of a first point rigidly attached to a rigid body floating on the sea surface in a desired coordinate reference frame; measuring orientation parameters of the rigid floating body to determine 3D offset in the coordinate reference frame of the first point to any point on or rigidly attached to the body; applying a 3D coordinate shift from the first point to a second point rigidly attached to the body, thus determining coordinates of the second point in the desired reference frame; determining a distance from the second point to one or more devices that are components of a seismic acquisition spread, by comparing transmission times of a signal to recording times of transmitted signals and multiplying by a signal propagation rate; and determining relative positions of components of the spread to each other and to devices rigidly attached to the rigid body.

An embodiment of the invention provides a mixture resolution encoding and decoding method. The mixture resolution encoding and decoding method comprises performing full resolution standard encoding and frame reconstruction on video frame sequence I frames which only adopt intraframe coding and obtaining reconstructed frames of the I frames; performing down sampling on the reconstructed frames of the I frames and obtaining sampling images of the reconstructed frames of the I frames; performing down sampling on non-I frames in a video frame sequence and obtaining sampling images of the non-I frames; performing standard encoding on the sampling images of the non-I frames with the sampling images of the reconstructed frames of the I frames which are corresponding to the non-I frames serving as reference frames; sending video code frames which comprise the I frames and non-I frames which are obtained through encoding. The invention also discloses a corresponding mixture resolution encoding and decoding device. According to the mixture resolution encoding and decoding method and device, encoding and decoding calculation complexity can be reduced and encoding and decoding speed and efficiency are greatly improved.

A method for registration of virtual endoscopy images in first and second patient positions comprises performing colon segmentation and feature extraction, including centerline and colon surface data for each of the images; resampling the centerline and colon surface data; computing respective local descriptors; pairing point correspondences on the centerlines between the first and second images by minimal cost matching; extrapolating the centerline point correspondences to a 3-dimensional/3-dimensional (3D/3D) transformation between the first and second images. The method also includes selecting a position for a virtual endoscope in one of the images; associating an orthogonal reference frame with the virtual endoscope; and applying the 3D/3D transformation to the orthogonal reference frame so as to derive a corresponding transformed reference frame for the virtual endoscope in the other of the images.

A compressing encoding and decoding method which includes the following: encode the video compressed signals with the programs, discrete cosine transform DCT; transform and quantitate; set the channel buffer storage before the encoding bit flow gets into the channel; the buffer storage must have a control mechanism; movement estimate; the position excursion is described by the movement vector, and a movement vector represents the displacement in the two actinic and vertical directions; as movement estimating, the P frame image uses the former most recent decoded I frame or P frame as the referenced image called the forward forecast; the movement compensation; the movement vector calculated by the movement estimate moves the macro piece in the referenced image to the corresponding position in the actinic and vertical direction, then namely produce the forecast to the compressed image; and search and calculate the subpels; the quantitation, storage and movement search after the sampling signals are made the discrete cosine transform DCT transform are all completed in the frequency field. The video encoder finishes all the calculation in the frequency field. The compressed rate is high, and the calculating quantity is small.

A method and apparatus for motion vector estimation for a plurality of image frames including retrieving a reference hash value associated with a reference frame, wherein the reference hash value represents a spatially oriented block of pixels, generating a plurality of image hash values including a first hash value for a first area represented by a spatially oriented block of pixels of an image frame and computing a motion vector estimate using a plurality of first hash values and the reference hash value is disclosed.

Systems and methods for encoding video sequences using frames from a higher rate video sequence in accordance with embodiments of the invention are disclosed. One embodiment of the invention includes encoding frames in a first video sequence by selecting a frame in the first video sequence and selecting a frame in a second video sequence as a reference frame by comparing the similarity of the content of the selected frame from the first video sequence with the content of at least one frame in the second video sequence. The selected frame from the first sequence is then encoded using predictions that include references to the reference frame from the second sequence. Information identifying the reference frame from the second sequence is then associated with the encoded frame from the first sequence to enable decoding of the first sequence using the second sequence.

The invention discloses an image de-spin and stabilization method based on subarea matching and an affine model, which comprises the steps that 1, a reference frame and a current frame are subjected to image histogram equalization processing; 2, four areas distributed crosswise and an image center area are selected as matching areas of motion estimation; 3, an affine transformation model is established, and a current frame motion vector is solved; and 4, a kalman filter model is established, and motion compensation of a current frame displacement vector is achieved. In Step 2, the operand is less; a speed is high; the motion estimation capacity is favorable when translation and rotation motion coexist in an image; and an interframe estimated error is less than one pixel. According to the method, the random motion quantity of a video image can be removed with high precision; scanning motion inherent in a platform or a load is kept; and the smoothness of a dynamic image sequence is improved. The method can effectively improve the video image and inhibit random noise.

A method for digital video image stabilization, the method including: estimating, from at least one portion of a frame, global frame displacement between an initial reference digital video frame and a current frame in a video sequence of frames; verifying, for the entire frame, the validity of the estimated frame displacement; and compensating for the estimated frame displacement by aligning at least one frame in the sequence with respect to the initial reference frame; wherein the step of aligning includes producing a corrected motion vector for the frame to be aligned and displacing the frame within the video frames sequence in accordance with the corrected motion vector.

The invention relates to a rapid selection method of macro-block mode during video information processing procedure, particularly a rapid selection method suitable for P-slice macro-block mode. The method comprises the following steps: step 1, determining the size of continuous macro-block according to the size of on-chip memory in the beginning, dividing all macro-blocks in one frame into a plurality of continuous 16is multiplied by16 macro-blocks, all macro-blocks in each continuous macro-block being positioned in the same row in the same one frame, and distributing the desired on-chip buffer zone; step 2, copying the brightness and colority data required for the mode selection of continuous macro-blocks in the current frame and the reference frame to the on-chip buffer zone; step 3, calculating the mode of each macro-block in the continuous macro-blocks to determine the final mode of each macro-block; and step 4, if all macro-blocks in the current continuous macro-block are processed, stopping the selection procedure of the current continuous macro-block, otherwise returning to the step 1 to continue. The inventive technical proposal can efficiently accelerate the speed of video compression and calculation, thereby realizing the real-time compression of video.

A method and apparatus for determining the quality of a block match for a candidate motion vector in a video encoder system using motion vectors representing the difference in coordinates of a macroblock of data in a current frame of video data and coordinates of a related macroblock of data in a reference frame of video data. The method can include defining a search pattern, searching a region based on the search pattern for a candidate motion vector for evaluation, calculating a difference metric, calculating a bias based on the difference between a predictor motion vector and a candidate motion vector, determining a modified difference metric by adding the difference metric to the bias, and defining a final motion vector based on the modified difference metric.

The invention relates to video coding and decoding methods and devices, wherein the video coding method comprises the following steps of: caching a plurality of first keyframes, wherein the plurality of first keyframes respectively correspond to keyframes which are distant from different time slots of the current frame, and each first keyframe has a first index value; respectively taking each first keyframe as a reference frame, carrying out the coding on an original video and generating a plurality of first coding video frames; comparing the plurality of first coding video frames and acquiring an output video frame and an output index value; and outputting the output video frame and the output index value. The video coding and decoding methods and devices improve the compression ratio of video data under the condition of ensuring the image quality by fully utilizing the relativity on the long-time scale in a video scene by caching the plurality of first keyframes.

The invention provides a method for synthesizing a ghost-reduced high-dynamic-range (HDR) video based on a block matching dynamic estimation algorithm. The method comprises the following steps: block matching: selecting a reference frame and a current frame from an input picture sequence, performing gray-scale processing, and calculating a motion vector of the current frame through an ARPS3 block matching algorithm; detection and calibration of motion areas: detecting respective motion areas of the current frame and the reference frame through the calculated motion vector, combining the motion areas of specific images, and marking on a binary bitmap; and synthesis of a ghost-reduced HDR image: improving a weight map obtained by calculation according to an Exposure Fusion algorithm by the obtained binary bitmap, and fusing images needing to be fused under the guidance of the improved weight map in order to obtain a final HDR image, namely, video frames. According to the HDR video synthesis method, ghost areas are detected through motion estimation, and ghosts are reduced through a fusion algorithm to synthesize the HDR video frames.

The invention discloses a method and a system for the feedback-type object detection and tracing of a video object, relates to the field of image processing and solves the problems that a hole occurs inside a foreground moving object in a current frame and that the prior proposal fails to obtain higher-quality boundaries. The method comprises the following steps: offering object detection to the video image newly acquired by each frame to extract the foreground moving object of the current frame; dividing blocks according to a foreground moving object of a video image of the former frame (a reference frame) to obtain a reference block; using a mean shift algorithm to trace the reference frame to calculate a candidate block of the foreground moving object in the current frame; and then determining the final foreground moving object according to a rate of superposition area of a tracing result and a detection result and feeding back a result to update a ground model.

A data processing apparatus (800) has an input (810) for receiving a first and second sequence of frame-based A/V data. A processor (830) edits the two sequences forming a third combined sequence. So-called “I-frames” are intra-coded, without reference to any other frame of the sequence. “P-frames” are coded with reference to one prior reference frame, and “B-frames” are coded with reference to one prior and one subsequent reference frame. The referential coding of a frame is based on motion vectors in the frame indicating similar macro blocks in the frame referred to. The processor identifies frames in the first sequence up to and including a first edit point and frames in the second sequence starting at a second edit point that have lost a reference frame. The processor (830) re-encodes each identified B-frames into a corresponding re-encoded frame by deriving motion vectors of the re-encoded frame solely from motion vectors of the original B-frame.

Using a pair of cameras, the planar coordinates of the object the user is pointing at can be obtained without 3D modeling, and using data derived from an image instead of 3D scene data. Each camera looks at at least 4 recording points on the plane and an indicator along the direction where the target is located. A linear transformation of the first image maps the planar projection of the direction indication into the second image. In the second image, the coordinates of the object depend on the intersection of the projection directions of the second image and the transformed projection of the first image. In another embodiment and overall, the directions are mapped to a third reference frame or image by respective linear transformations. The system's app allows users to use fixed pointing gestures to indicate a location on a cast or TV screen. The system can be set up quickly because no information about the camera position is required.

The present invention discloses a three-dimensional video layered coding frame. A left view point image is designed to be basic layer and a standard coding form is adopted. A right view point image is designed to be a reinforcement layer, and the right view point image is coded to be a plurality of reinforcement layers with a quality scalable technology. The video sequence of the basic layer is coded according to the standard coding method. The video sequence of the reinforcement layer is coded by the quality layered coding mode. The frame effectively uses the characteristic of the three-dimensional video coding and the advantage of the single view point quality layered coding network, sets a predicting mechanism for a key reference frame, and reduces the diffusion of the code stream truncation error. On the premise of keeping the three-dimensional video coding efficiency, a three-dimensional video stream, the quality of which can be arbitrarily scaled according to the actual network bandwidth, is provided, and the influence of the code stream truncation to the image quality of the three-dimensional video can be effectively prevented.