Abstract: A multi-function pull head comprises a valve seat, and that includes: a water input connector, an outer shell, a water output portion, a first function switching structure, a second function switching structure, and a water output panel. The water input connector is connected onto the outer shell through a thread structure, and two through holes are provided on the outer shell, for the first function switching structure and second function switching structure to pass through respectively. The water input connector is disposed on a top portion of the valve seat. The outer shell is disposed on a bottom portion of the water input connector, to protect the valve seat. The outer shell is engaged to the water input connector through an engaging ring. The water output portion is disposed at a lower portion of the valve seat.

Abstract: An image deblurring method based on light streak information in an image is provided, wherein shape information of a blur kernel is obtained based on a light streak in a motion blur image and image restoration is constrained by combining the shape information, a natural image and the blur kernel to thereby obtain an accurate blur kernel and a high-quality restored image. The method specifically comprises: selecting an optimum image patch including an optimum light streak; extracting shape information of a blur kernel from the optimum image patch including the optimum light streak; performing blur kernel estimation to obtain the final blur kernel; performing non-blind deconvolution and restoring a sharp restored image as a final deblurred image. The present disclosure establishes a blurry image test set of captured images including light streaks and a method to: obtain an accurate blur kernel and a high quality restore image.

Abstract: Embodiments of the present disclosure provide a method for accelerating CDVS extraction process based on a GPGPU platform, wherein for the stages of feature detection and local descriptor computation of the CDVS extraction process, operation logics and parallelism strategies of respective inter-pixel parallelism sub-procedures and respective inter-feature point parallelism sub-procedures are implemented by leveraging an OpenCL general-purpose parallelism programming framework, and acceleration is achieved by leveraging a GPU's parallelism computation capability; including: partitioning computing tasks for a GPU and a CPU; reconstructing an image scale pyramid storage model; assigning parallelism strategies to respective sub-procedures for the GPU; and applying local memory to mitigate the access bottleneck. The technical solution of the present disclosure may accelerate the CDVS extraction process and significantly enhances the extraction performance.

Abstract: A video encoding and decoding method, and its inter-frame prediction method, device and system thereof are disclosed. The inter-frame prediction method includes obtaining a motion vector of the current image block and related spatial position of a current pixel, obtaining a motion vector of the current pixel according to the motion vector of the current image block and the related spatial position of the current pixel; and obtaining a predicted value of the current pixel according to the motion vector of the current pixel. The method considers both the motion vector of the current image block and the related spatial position information of the current pixel during inter-frame prediction. The method can accommodate lens distortion characteristics of different images and zoom-in/zoom-out produced when the object moves in pictures, thereby improving the calculation accuracy of pixels' motion vectors, and improving inter-frame prediction performance and compression efficiency in video encoding and decoding.

Abstract: A method, a device and an encoder for controlling filtering of intra-frame prediction reference pixel point are disclosed. The method includes: when various reference pixel points in a reference pixel group of an intra-frame block to be predicted are filtered, and the target reference pixel point to be filtered currently is not an edge reference pixel point in a reference pixel group (S202), acquiring a pixel difference value between the target reference pixel point and n adjacent reference pixel points thereof (S203); and selecting a filter with the filtering grade thereof corresponding to the pixel difference value to filter the target reference pixel point (S204). For various reference pixel points not located at an edge in a reference pixel group, according to the local difference characteristics of these reference pixel points, filters with corresponding filtering grades are flexibly configured, thus providing flexibility and adaptivity to the filtering, achieving better effect.

Abstract: A decoding method including receiving a bitstream corresponding to a residual block, decoding the residual block having a plurality of residual pixels represented as transform coefficients, and computing a reconstructed block based on the residual pixels. The reconstructed block includes reconstructed pixels and uses an intra prediction mode to generate prediction pixels in sequence vertically or horizontally based on reconstructed pixels in the reconstructed block. The reconstructed block includes initial reconstructed pixels based on initial prediction pixels. The intra prediction mode is used to generate the initial prediction pixels based on external reference pixels located in neighboring blocks decoded before the reconstructed block. Computing the reconstructed block includes combining prediction pixels with residual pixels to generate additional reconstructed pixels used to generate additional prediction pixels.

Abstract: A chroma interpolation method, including: 1) determining a pixel accuracy for interpolation; 2) determining coordinate positions of interpolated fractional-pel pixels between integer-pel pixels; and 3) performing two-dimensional separated interpolation on the interpolated fractional-pel pixels by an interpolation filter according to the coordinate positions. The invention also provides a filter device using the above method for chroma interpolation.

Abstract: A method and a device for MCMC framework-based sub-hypergraph matching are provided. Matching of object features is performed by constructing sub-hypergraphs. In a large number of actual images and videos, objects vary constantly, and contain various noise points as well as other interference factors, which makes image object matching and searching very difficult. Perform object feature matching by representing the appearance and positions of objects by sub-hypergraphs allows for faster and more accurate image matching. Furthermore, a sub-hypergraph has several advantages over a graph or a hypergraph: on one hand, a sub-hypergraph has more geometric information (e.g. angle transformation, rotation, scale, etc.) than a graph, and has a lower degree of difficulty and better extensibility than a hypergraph. On the other hand, the disclosed method and device have stronger capabilities to resist interference and good robustness, and are adaptable to more complex settings, especially with outliers.

Abstract: Methods and devices are disclosed for panoramic video coding and decoding based on multi-mode boundary fill. If a predicted image block of a current image block is obtained by inter-frame prediction. The inter-frame prediction includes a boundary fill step of adaptively selecting a boundary fill method according to coordinates of a reference sample when the reference sample of a pixel in the current image block is outside the boundary of a corresponding reference image, to obtain a sample value of the reference sample. The panoramic video encoding and decoding method and device based on multi-mode boundary fill in the present invention make full use of the characteristic that horizontal image contents in a panoramic video are cyclically connected to optimize an image boundary fill method, such that the encoding can adaptively select a more reasonable boundary fill method according to the coordinates of a reference sample, thereby improving compression efficiency.

Abstract: Embodiments of the present disclosure provide a method, an apparatus, and a system for deep feature coding and decoding. The method comprises: extracting features of respective video frames; determining types of the features, the types reflecting time-domain correlation degrees between the features and a reference feature; encoding the features using predetermined coding patterns matching the types to obtain coded features; and transmitting the coded features to the server such that the server decodes the coded features for a vision analysis task. By using the embodiments of the present disclosure, videos per se may not be transmitted to the cloud server; instead, the features of the video, after being encoded, are transmitted to the cloud server for a vision analysis task; compared with the prior art, data transmission pressure may be lowered, and the storage pressure at the cloud server may also be lowered.

Abstract: An arithmetic encoding-decoding method for compression of a video image block. The method includes an encoding process and a decoding process. The encoding process includes: 1) acquiring an information of an image block to be encoded; 2) extracting an encoding command of a weighted skip model; 3) acquiring an index of a reference frame according to the information of the image block to be encoded and the command of the weighted skip model, in which the reference frame includes a prediction block for reconstructing the image block to be encoded; 4) acquiring a context-based adaptive probability model for encoding; and 5) performing arithmetic encoding of the index of the reference frame and writing arithmetic codes into an arithmetically encoded bitstream according to the context-based adaptive probability model for encoding.

Abstract: A method and a device for image matching are disclosed. The method includes acquiring a template image and a target image; acquiring a group of template features according to the template image; extracting a group of target features according to the target image; and according to template features and target features, calculating an degree of image similarity between the template image and each frame of target images, and using a target image with the maximum degree of image similarity as a matched image the template image. In the disclosed image-matching method and image-matching device, image matching is performed by means of respectively calculating an degree of image similarity between a template image and each target image according to a degree of image similarity between template features and target features, so that non-redundancy of features in an image matching process and correct image matching can be guaranteed, and the image matching accuracy can be improved.

Abstract: The present invention provides a hybrid-resolution encoding and decoding method. The method includes performing full-resolution standard coding on an I frame that adopts only intra-frame coding in a video frame sequence, and performing frame reconstruction to obtain a reconstructed frame of the I frame; performing down-sampling on the reconstructed frame of the I frame to obtain a first sampling image of the reconstructed frame of the I frame; performing down-sampling on a non-I frame in the video frame sequence to obtain a second sampling image of the non-I frame; performing standard coding on the second sampling image of the non-I frame by using the first sampling image of the reconstructed frame of the I frame that corresponds to the non-I frame as a reference frame; and sending a video code stream that includes the full-resolution standard coded I frame and the standard coded non-I frame.

Abstract: The present application provides a method and a device for deblurring an out-of-focus blurred image: first, a preset blur kernel is used to carry out blurring processing on an input original image to obtain a re-blurred image. The blur amounts of pixels in an edge area of the original image are estimated according to the change of the image edge information in the blurring processing procedure to obtain a sparse blur amount diagram. The blur amounts of pixels in a non-edge area of the original image are estimated according to the parse blur amount diagram to obtain a complete blur amount diagram. Deblurring processing is carried out according to the complete blur amount diagram to obtain a deblurred image. In the method and device provided by the present invention, since a blur amount diagram is obtained based on the change of edge information after image blurring, the blur amount diagram can be more accurate, so that the quality of a deblurred image is improved.

Abstract: A shower head includes a body provided with a waterway. A first switch is movably mounted on the body to be responsible for selectively opening and closing the waterway and a second switch movably mounted on the body to be responsible for selectively changing water output patterns. The first switch has a rear pushbutton, a driving rod movably connected to the rear pushbutton and a diverting element movable relative to the body to be responsible for closing or opening the waterway. The second switch has a front pushbutton, a sliding element having a rack formed on a face thereof, a diverter rotatably received inside the body, a gear rotatably received inside the body and having first ratchet teeth and a rotor having second ratchet teeth selectively engaged with the first ratchet teeth to allow the rotation of the gear to drive the second ratchet teeth of the rotor to disengage with the first ratchet teeth of the gear as well as the rotor and the diverter to rotate accordingly.

Abstract: An image representation method and processing device based on local PCA whitening. A first mapping module maps words and characteristics to a high-dimension space. A principal component analysis module conducts principal component analysis in each corresponding word space, to obtain a projection matrix. A VLAD computation module computes a VLAD image representation vector; a second mapping module maps the VLAD image representation vector to the high-dimension space. A projection transformation module conducts projection transformation on the VLAD image representation vector obtained by means of projection. A normalization processing module conducts normalization on characteristics obtained by means of projection transformation, to obtain a final image representation vector.

Abstract: The present application provides a method and a device for super-resolution image reconstruction based on dictionary matching. The method includes: establishing a matching dictionary library; inputting an image to be reconstructed into a multi-layer linear filter network; extracting a local characteristic of the image to be reconstructed; searching the matching dictionary library for a local characteristic of a low-resolution image block having the highest similarity with the local characteristic of the image to be reconstructed; searching the matching dictionary library for a residual of a combined sample where the local characteristic of the low-resolution image block with the highest similarity is located; performing interpolation amplification on the local characteristic of the low-resolution image block having the highest similarity; and adding the residual to a result of the interpolation amplification to obtain a reconstructed high-resolution image block.

Abstract: A low-illumination image processing method and device address the problem of noise amplification in existing contrast enhancement techniques when applied to original low-illumination image. A noise suppression filter is additionally arranged before an operation of contrast enhancement, and smoothing processing is performed on an inverse color image of a low-illumination image by adopting a first filtering coefficient and a second filtering coefficient, so that image contrast is enhanced while random noise is suppressed. Texture and noise level parameter of an image are calculated according to a local characteristic inside block of the image. Weighted averaging is performed on a first smoothing image and a second smoothing image after smoothing processing according to the texture and noise level parameters.

Abstract: A method and system for video frame interpolation based on an optical flow method is disclosed. The process includes calculating bidirectional motion vectors between two adjacent frames in a frame sequence of input video by using the optical flow method, judging reliabilities of the bidirectional motion vectors between the two adjacent frames, and processing a jagged problem and a noise problem in the optical flow method; marking “shielding” and “exposure” regions in the two adjacent frames, and updating an unreliable motion vector; with regard to the two adjacent frames, according to marking information about the “shielding” and “exposure” regions and the bidirectional motion vector field, mapping front and back frames to an interpolated frame to obtain a forward interpolated frame and a backward interpolated frame; synthesizing the forward interpolated frame and the backward interpolated frame into the interpolated frame; repairing a hole point in the interpolated frame to obtain a final interpolated frame.

Abstract: A water output device capable of regulating water output spray, comprising: an outer chamber; an inner chamber, disposed inside the outer chamber; an upper chamber, used to supply water to the inner chamber and the outer chamber; a water output panel, disposed on the outer chamber; a plurality of rotation panels, disposed evenly on the water output panel to form into a ring, on the respective rotation panels is provided with water output holes, and water is supplied to the rotation panel from the inner chamber; a driving mechanism, disposed in the inner chamber, to drive all the rotation panels into rotation synchronously; and a water channel switching mechanism, disposed in the upper chamber, to control switching of water supply to the inner chamber and the outer chamber, and when the water channel switching mechanism rotates, it brings the driving mechanism into rotation.