scispace - formally typeset
Search or ask a question
Topic

Residual frame

About: Residual frame is a research topic. Over the lifetime, 4443 publications have been published within this topic receiving 68784 citations.


Papers
More filters
Patent
07 May 2004
TL;DR: In this paper, a method of processing sequential frames of data comprises repeating the following steps: acquiring at least a reference frame containing data points and a current frame of data points; identifying a set of anchor points in the reference frame; assigning to each anchor point in the frame a respective motion vector that estimates the location of the anchor point.
Abstract: A method of processing sequential frames of data comprises repeating the following steps for successive frames of data: acquiring at least a reference frame containing data points and a current frame of data points; identifying a set of anchor points in the reference frame; assigning to each anchor point in the reference frame a respective motion vector that estimates the location of the anchor point in the current frame; defining polygons formed of anchor points in the reference frame, each polygon containing data points in the reference frame, each polygon and each data point contained within the polygon having a predicted location in the current frame based on the motion vectors assigned to anchor points in the polygon; for one or more polygons in the reference frame, adjusting the number of anchor points in the reference frame based on accuracy of the predicted locations of data points in the current frame; and if the number of anchor points is increased by addition of new anchor points, then assigning motion vectors to the new anchor points that estimate the location of the anchor points in the current frame.

70 citations

Patent
10 Aug 2009
TL;DR: In this article, a night vision device and method for filtering a series of image frames that depict a moving subject, which improves the signal-to-noise ratio of each image frame, is provided.
Abstract: A night vision device and method for filtering a series of image frames that depict a moving subject, which thereby improves the signal-to-noise ratio of each image frame, is provided. A composite image is formed for each image frame by combining pixel values in a current image frame with pixel values in composite images corresponding to image frames acquired before the current image frame. Additionally, pixels values in image frames acquired subsequent to the acquisition of the current image frame are included when forming the composite image. A bi-directional recursive filter is used to weight the contributions from the previous composite images and subsequent image frames with a decay constant. Motion of the imaging system is optionally compensated for by establishing a moving reference frame and shifting the image frames to account for this motion; thus, registering the image frames before filtering the current image frame.

69 citations

Patent
27 Mar 2009
TL;DR: In this article, a method of processing a video signal is disclosed, which includes predicting a current picture using the prediction information of the macroblock, and applying a filter using the predicted current picture and the filter information.
Abstract: A method of processing a video signal is disclosed. The present invention includes receiving prediction information of a macroblock and filer information, predicting a current picture using the prediction information of the macroblock, and applying a filter using the predicted current picture and the filter information. Accordingly, accuracy of prediction can be enhanced by applying a filter to a frame predicted before a residual for a predicted frame is coded. As the residual is reduced, efficiency of video signal processing can be enhanced.

69 citations

Patent
01 Apr 1999
TL;DR: In this article, a burst transmitter receives the bitstream from the encoder and transmits each consecutive frame segment, at regular frame intervals, in a burst at the channel rate via the transmission channel.
Abstract: In a data transmission system (300), an encoder (310) provides a bitstream having a sequence of frame segments, wherein each frame segment has a bit size which is limited by the encoder to a maximum bit size. A transmission channel (316) is provided which has a channel rate sufficient to receive the bitstream from the encoder and transmits each consecutive frame segment of maximum bit size within a frame interval. A burst transmitter (312) receives the bitstream from the encoder and transmits each consecutive frame segment, at regular frame intervals, in a burst at the channel rate via the transmission channel, to provide a bursty bitstream over the transmission channel.

69 citations

Patent
23 Dec 1969
TL;DR: In this article, an encoding system for use with video signals, the velocity of a subject between two frames is estimated and used to predict the location of the subject in a succeeding frame.
Abstract: In an encoding system for use with video signals, the velocity of a subject between two frames is estimated and used to predict the location of the subject in a succeeding frame. Differential encoding between this prediction and the actual succeeding frame are used to update the prediction at the receiver. As only the velocity and the updating difference information need be transmitted, this provides a reduction in the communication channel capacity required for video transmission. The scheme may be implemented by comparing the intensities of points in consecutive frames, identifying those points having a significant frame to frame intensity difference as part of the moving subject, determining an estimated velocity of the identified subject, predicting the present frame by translating a portion of the previous frame by the estimated velocity (the translated portion forming the identified subject), and transmitting the updating difference between the actual and predicted present frames along with the predictive velocity information.

69 citations


Network Information
Related Topics (5)
Feature (computer vision)
128.2K papers, 1.7M citations
81% related
Feature extraction
111.8K papers, 2.1M citations
80% related
Image segmentation
79.6K papers, 1.8M citations
80% related
Image processing
229.9K papers, 3.5M citations
78% related
Pixel
136.5K papers, 1.5M citations
78% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202313
202223
20217
20204
20196
201811