414 results about "Filter (video)" patented technology

A video signal including illumination flicker component is integrated at each of unit areas (horizontal lines) in a frame (field) of the video signal. The integrated level at each of the unit areas at the frame and the integrated level at the corresponding unit area of an adjacent frame are averaged. Dividing is effected between results of the averaging and integrating every unit area. It is judged whether flicker exists in the video signal by frequency-analyzing results of the dividing result at the unit areas. The unit area may be plural adjacent lines where flickering are negligible. The averaging circuit may be circulation type of or FIR filter. Threshold level for judging the flicker is changed according to a shutter speed control signal. Flicker compensation may be executed by controlling shutter speed or the AGC according to flicker judging result. A still condition at a block in a frame may be detected from the integration result at plural frames. When the block is judged to be still, the flicker is judged. An ac line frequency detection is also disclosed to detect the frequency of the ac line from a video signal generated under illumination including flicker. An imaging circuit may be provided to generate the video signal therein.

A video coding method and a video coding device can optimize prediction efficiency and coding efficiency.

A video coding device (100) codes video data, by performing motion compensation with sub-pel resolution by using an adaptive interpolation filter for calculating a pixel value of a sub pixel for interpolation between full pixels configuring an input image included in the video data. The video coding device (100) includes: a motion compensation unit (160) that (i) sets a filter property for an adaptive interpolation filter on a predetermined process unit basis, and determining, for each of sub-pel positions relative to a full pixel, a plurality of filter coefficients of the adaptive interpolation filter having the set filter property, and (ii) performs the motion compensation with sub-pel resolution, by applying the adaptive interpolation filter having the determined filter coefficients to the input image; and a subtraction unit (110) that generates a prediction error, by subtracting, from the input image, a prediction image generated in the motion compensation; and a coding unit (190) that codes the prediction error.

An apparatus for encoding or decoding video data reconstructs one or more blocks of a current picture of the video data. The one or more blocks of the current picture comprise reconstructed samples ofthe current picture. In addition, after reconstructing the one or more blocks of the current picture, the apparatus applies a particular function of a plurality of filters to a current block of the current picture. The current block comprising the reconstructed samples of the current picture.

A method and system for video system using coding modes including an Inter prediction mode and an Intra Block Copy (IntraBC) mode are disclosed. A syntax element in a bitstream is determined to indicate whether two versions of a reconstructed current image unit are needed. If two versions of the reconstructed current image unit are needed, a loop-filtered version of the reconstructed current imageunit and a non-loop-filter version of the reconstructed current image unit are allowed to be stored and used as reference data. Otherwise, only one version of the reconstructed current image unit isstored as the reference data. According to another method, bi-prediction mode is converted to uni-prediction mode for a certain prediction mode, where the bandwidth exceeds the existing worst case.

The invention discloses a depth image estimating method of a binocular stereo video, which comprises the following steps of: (1) collecting a binocular stereo video image from a binocular stereo camera; (2) performing parallax estimation based on graph cut stereo matching on the binocular stereo video image; (3) performing uniformity check on a parallax image obtained by the graph cut stereo matching, and deleting the unreliable matching by self-adapting matching to reduce the wrong matching of the depth image; (4) converting the parallax image into a depth image according to the relation of the parallax and the depth; (5) performing correction optimization on the obtained depth image by a multilateral filter; and (6) outputting the depth image to finish the depth image estimation of the binocular stereo video. The method disclosed by the invention has the advantages of effectively eliminating the errors in the depth image estimation, and finally obtaining an accurate and dense depth image so as to satisfy the demand of rebuilding image quality based on a real scene.

Edges are detected in block coded video by a threshold comparison upon the lengths of variable-length codes used for encoding the differential DC coefficients of the pixel blocks. A thinning filter compares the code lengths of the differential DC coefficients of adjacent blocks in order to retain the edge indications of more significant edges and to exclude the edge indications of less significant edges. The edge indications can be split into substantially independent channels for luminance or chrominance, for edges having positive or negative horizontal gradient components, and for edges having positive or negative vertical gradient components. The edge indications for successive frames in an MPEG sequence are compared to each other in various ways in order to detect scene changes.

The invention discloses an adaptive noise intensity video denoising method which is based on motion detection and is embedded in an encoder. The method comprises the following steps: (1) taking a sum of regularization frame differences in a neighborhood as an observed value, dividing input pixels into a static pixel and a dynamic pixel and using filters in different supporting domains for the two kinds of the pixels, wherein a filtering coefficient is adaptively determined according to noise intensity and an image local characteristic; (2) taking a single DCT coefficient or the sum of the several DCT coefficients as the characteristic, using AdaBoost as a tool to construct a cascade-form classifier and using the classifier to select a static block; (3) establishing a function model of connection between DCT coefficient distribution parameters of the video noise intensity and the static block and using the model to estimate the noise signal standard difference. By using noise intensity estimation embedded in the video encoder and a noise reduction technology provided in the invention, few computation costs can be used to acquire the parameters and the information needed by noise filtering. A time efficiency is good. Because a reliable clue is used to determine whether the pixels accord with a static hypothesis, the filter of the invention can effectively filter the noise and simultaneously maintain marginal sharpness of the static image. And motion blur caused by filtering in a motion area can be avoided.

A video signal processing apparatus and a video signal processing method are capable of outputting a display having a high picture quality by effectively utilizing an output resolution. A microcomputer controls a shrinkage filter, a memory and an enlargement filter to carry out a resolution conversion process of converting the signal format of a video signal into a selected output signal format depending on the output format setting of a D terminal of the video processing apparatus, and outputs the video signal.

The invention relates to a floating number plates discriminating method, which is based on the three-road parallel manmade nerve-net. The identify steps are that adopting the video burst mode to catch the video automatically for the collection of video pictures of the moving vehicle, character cutting the part of pictures of the number plates and then being the input signal of the nerve-net; said nerve-net adopts three standard self-adapt vibrate net each of which has its own work, the three nets are the Chinese characters identify net, the English characters identify net and the data identify net, all of which identify the inputted vector signals at one time, and outputs the most similar sort unity respectively, through controlling the property of the Territory value and the identify accurately according to the number plates and filter, at last add a color property of number plates as the output of the discriminating results. Adopting the method of the invention can identify the number plates of vehicle fast and accurately under the largest driving speed of the vehicles.

A system and method for allowing a user to more effectively generate focused content results, including audio and/or video content. Content is dynamically filtered to generate content results in response to initial filtering settings or characteristics. The content results are provided to a user. Once the user finds and selects a content result of interest, additional filtering characteristics associated with the selected result are provided to the user as a suggestion for additional filtering. In this manner, the user is made aware of additional filtering settings or characteristics that can be used to focus the search results. Subsequent filter settings and filtering operations can be based on characteristics of previous relevant results in an iterative and dynamic manner. Focused results are more likely produced, because additional filtering settings are provided and adjusted according to characteristics of results deemed relevant by the user.

An alert generation method and system. The method includes receiving by a computer processor, alert data indicating filters for specified alert types associated with possible future events. The computer processor receives monitor definition data and media generated audio/video data; compares the alert data to the media generated audio/video data; determines a first alert type matches first audio/video data of the media generated audio/video data; and determines that the first audio/video data comprises a primary event. The computer processor broadcasts the primary event.

An improved switched filter up-sampling mechanism for scalable video coding. A filter switching mechanism of the present invention takes advantage of the best performance of each of the filters in a collaborative manner. The switching process of the present invention can be generalized to more filter choices and potentially relieve the computational complexity due to the added freedom and flexibility of filter choices.

The disclosure provides an approach for edge-aware spatio-temporal filtering. In one embodiment, a filtering application receives as input a guiding video sequence and video sequence(s) from additional channel(s). The filtering application estimates a sparse optical flow from the guiding video sequence using a novel binary feature descriptor integrated into the Coarse-to-fine PatchMatch method to compute a quasi-dense nearest neighbor field. The filtering application then performs spatial edge-aware filtering of the sparse optical flow (to obtain a dense flow) and the additional channel(s), using an efficient evaluation of the permeability filter with only two scan-line passes per iteration. Further, the filtering application performs temporal filtering of the optical flow using an infinite impulse response filter that only requires one filter state updated based on new guiding video sequence video frames. The resulting optical flow may then be used in temporal edge-aware filtering of the additional channel(s) using the nonlinear infinite impulse response filter.

The invention discloses a color gamut scalable video coding device and a method for the phase alignment of luma and chroma using interpolation. According to the invention, a video coding device and a method are used for receiving a picture associated with a first color space, wherein the picture comprises a first component at a first sampling location (CO), a second component at a second sampling location (LO) and the second component at a third sampling location (L4). A first interpolation filter is applied to the second component at the second sampling location (LO) and the second component at the third sampling location (L4) to determine the second component at the first sampling location (L(C0)). The second component at the first sampling location (L(C0)) may be associated with the first color space. A color conversion model is applied to the first component at the first sampling location (CO) and to the second component at the first sampling location (L(C0) ) to translate the first component at the first sampling location to a second color space.

In order to improve a cropping system by obtaining the coverage of a wide range of contents for smaller sized displays of handheld devices, the invention proposes a method starting from a metadata aggregation and the corresponding video, e.g. in post-production, programme exchange and archiving, wherein (a) the video is passed through a video analysis to deliver video, e.g. by use of motion detection, morphology filters, edge detection, etc., (b) the separated video and metadata are combined to extract important features in a context wherein important information from the metadata is categorised and is used to initialise a dynamically fitted chain of feature extraction steps adapted to the delivered video content, (c) extracted important features are combined to defione regions of interest (ROI) which are searched in consecutive video frames by object tracking, said object tracking identifies the new position and deformation of each initialised ROI in consecutive video frames and returns this information to the feature extraction thereby obtaining a permanent communication between said feature extraction and said object tracking, (d) one or several ROIs are extracted and inputted video frame by video frame into a cropping step (e); based on weighting information a well composed image part is cropped by classifying said supplied ROIs by importance, and (f) said cropped image area(s) are scaled to the desired small screen size.

A method for use in video compression is disclosed. In particular, the claimed invention relates to a method of more efficient fractional-pixel interpolation in two steps by a fixed filter (240) and an adaptive filter (250) for fractional-pixel motion compensation.

A method and apparatus for denoising digital images or videos, which is an extension of the spatial varying filter (SVF) by using a past filtered pixel, instead of the current pixel itself as the input for producing an output for the current pixel. Based on this concept, a number of denoising filters are provided, including Auto-regressive Spatial Varying Filter (ARSVF), Modified Auto-regressive Spatial Varying Filter (MARSVF), Auto-Regressive Spatiotemporal Varying Filter (ARSTVF) which is an extension of Spatiotemporal Varying Filter (STVF), Auto-regressive Motion Compensated Spatiotemporal Varying Filter (ARMCSTVF) which is extension of Motion Compensated Spatiotemporal Varying Filter (MCSTVF), and Selective Auto-regressive Motion Compensated Spatiotemporal Varying Filter (SARMCSTVF).

A adaptive noise reduction filter is provided for reducing noise in a video signal. Each pixel in a portion of a video frame is evaluated to determine a likelihood L of impulse noise corruption to each pixel. A total number P of pixels in the video frame that have a likelihood of impulse noise corruption is determined. One of a plurality of spatial noise reduction filters is selected to use on the video frame based on the total number P and on the likelihood L of impulse noise corruption to a current pixel. A motion value for each of the pixels in the portion of the video frame may be determined and used to inhibit spatial noise reduction filtering of each pixel that has a low motion value.

A technique to reduce ringing artifacts in highly compressed block-based image/video coding is applied to each reconstructed frame output from the decoder. For each pixel block of a reconstructed frame, low-pass filtering is then adaptively applied according certain calculated differences between adjacent pixel values. For each pixel, a determination is made as to what type of horizontal filter, if any, is to be applied. Depending on the results of that determination, the pixel may remain unfiltered or may have a 2- or 3-tap horizontal filter applied to it. A similar process is undertaken to determine what type of vertical filter, if any, is to be applied, no filter, a 2-tap or a 3-tap vertical filter.

The simulation of film grain in a video image occurs by first creating a block (i.e., a matrix array) of transformed coefficients for a set of cut frequencies f_HL, f_VL, f_HH and f_VH associated with a desired grain pattern. (The cut frequencies f_HL, f_VL, f_HH and f_VH represent cut-off frequencies, in two dimensions, of a filter that characterizes the desired film grain pattern). The block of transformed coefficients undergoes an inverse transform to yield a bit-accurate film grain sample and the bit accurate sample undergoes scaling to enable blending with a video signal to simulate film grain in the signal.

An input video signal is processed for edge enhancement. Video signal levels are detected at an N number of pixels located adjacent to one another in a specific scanning direction (N being an even number of four or larger). A difference between the levels is obtained and an absolute difference is produced that is an absolute value of the difference at each pair of adjacent two pixels among the N number of pixels, thus an (N−1) number of absolute differences being obtained. A particular one absolute difference among the absolute differences is applied nonlinear arithmetic processing in which it is subtracted from a predetermined initial value to obtain a subtracted value, and an absolute value of the subtracted value is obtained, the absolute value being set to a predetermined value if equal to or lower than the predetermined value. The particular one absolute difference is obtained from a pixel pair of two adjacent pixels located in the middle of the N number of pixels aligned in the scanning direction. The absolute value of the subtracted value subjected to the nonlinear processing is added to the remaining (N−2) number of absolute differences not subjected to the nonlinear processing, thus an evaluation function value being obtained. The input video signal is subjected to low-pass filtering with different filter characteristics, thus video signals being output with high-frequency components attenuated depending on the different filter characteristics. The input video signal with no filtering applied is selected for edge enhancement if the evaluation function value is larger than a reference value whereas one of the video signals applied the filtering is selected for edge enhancement if the evaluation function value is equal to or smaller than the reference value, the smaller the evaluation function value, selected being one of the video signals having the high-frequency components attenuated more.