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Residual frame

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


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Patent
04 Oct 1996
TL;DR: In this article, a method of pulse width modulation using a spatial light modulator (40) with a finite transition time is presented. But the method uses m bits per sample to digitize the incoming data, but apportions the LSB times for pulsewidth modulation based upon m-1 bits.
Abstract: A method of pulse width modulation using a spatial light modulator (40) with a finite transition time. The method uses m bits per sample to digitize the incoming data, but apportions the LSB times for pulse width modulation based upon m-1 bits. The current video frame displays all of the bits for each sample, except for the LSBs for each sample. The next video frame displays all of the bits for each sample, adding one more LSB for dividing up the frame time. The first frame could use either the additional LSB time and display no data, or it could use only that number of LSB times it needs. In the latter, the system will have to adjust to different partitions of the frame time for alternating frames. The system includes a spatial light modulator (40), a memory (42), a formatter (48), a sequence controller (44) and a toggle circuit (46), to perform this method.

78 citations

Patent
14 Apr 2006
TL;DR: In this paper, the authors define an efficient, new method of searching only a very sparse subset of possible displacement positions (or motion vectors) among all possible ones, to see if we can get a good enough match, and terminate early.
Abstract: Motion estimation is the science of predicting the current frame in a video sequence from the past frame (or frames), by slicing it into rectangular blocks of pixels, and matching these to past such blocks. The displacement in the spatial position of the block in the current frame with respect to the past frame is called the motion vector. This method of temporally decorrelating the video sequence by finding the best matching blocks from past reference frames—motion estimation—makes up about 80% or more of the computation in a video encoder. That is, it is enormously expensive, and methods do so that are efficient are in high demand. Thus the field of motion estimation within video coding is rich in the breadth and diversity of approaches that have been put forward. Yet it is often the simplest methods that are the most effective. So it is in this case. While it is well-known that a full search over all possible positions within a fixed window is an optimal method in terms of performance, it is generally prohibitive in computation. In this patent disclosure, we define an efficient, new method of searching only a very sparse subset of possible displacement positions (or motion vectors) among all possible ones, to see if we can get a good enough match, and terminate early. This set of sparse subset of motion vectors is preselected, using a priori knowledge and extensive testing on video sequences, so that these “predictors” for the motion vector are essentially magic. The art of this method is the preselection of excellent sparse subsets of vectors, the smart thresholds for acceptance or rejection, and even in the order of the testing prior to decision.

78 citations

Patent
Paul W. Dent1
01 Apr 1993
TL;DR: In this article, a frame structure is imposed on digitized speech data to divide the data into units of fixed transmission time, and decoding of received bits is performed to determine correlation with a defined set of code words.
Abstract: A cellular radio telephone system employs discontinuous transmission and reception of speech signals to conserve receiver processing resources. A frame structure is imposed on digitized speech data to divide the data into units of fixed transmission time. When no active speech is present for the entire duration of a frame, transmission of that frame of data is inhibited. At the receiver, decoding of received bits is performed to determine correlation with a defined set of code words. If no correlation is found after the first few received bits of a frame, due to the absence of active speech data, decoding is discontinued for the remainder of the frame's duration. This approach frees up the receiver's resources for other tasks, such as decoding of other received signals. Frames of data from different sources are transmitted with a defined time alignment to enable the receiver to remain synchronized in the absence of transmitted data. The frames associated with different sources are staggered relative to one another, to distribute processing loads at the receiver.

77 citations

Patent
19 Nov 2003
TL;DR: In this article, an interpolation frame generation device that generates a frame that interpolates image frames that are obtained by decoding a coded image signal that is coded by motion compensation is presented.
Abstract: An interpolation frame generation device that generates an interpolation frame that interpolates image frames that are obtained by decoding a coded image signal that is coded by motion compensation, includes a motion vector deriving unit and an interpolation frame generating unit. The motion vector deriving unit acquires a motion compensation vector of a coded block that forms the coded image signal. The interpolation frame generating unit generates the interpolation frame in accordance with the motion vector of the image block that forms an image frame by using the motion compensation vector of the coded block as the motion vector of the image block.

77 citations

Patent
18 Apr 2006
TL;DR: In this paper, a method and apparatus for processing imagery using images acquired via any known Electro-Optical (EO) system is presented, where a first frame of data is selected as a template frame (e.g., a given frame).
Abstract: A method and apparatus for processing imagery using images acquired via any known Electro-Optical (EO) system. In accordance with exemplary embodiments of the present invention, a first frame of data is selected as a template frame (e.g., a given frame). A second frame of data can be captured using the EO system. At least a portion of the second frame can be correlated with the template frame to generate a shift vector. The second frame can then be registered with the template frame by interpolating the second frame using the shift vector and re-sampling at least a portion of the second frame to produce a registered frame. The template frame can also be re-sampled. The registered frame and the re-sampled template frame can then be combined to generate an averaged frame. The averaged frame can be spatially filtered to enhance edges within the averaged frame.

77 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202313
202223
20217
20204
20196
201811