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: A method and a device for post-processing depth/disparity maps adopt a strategy of combining edge information and segmentation information when detecting irregular edge regions. The method includes dividing a color image into super pixels when performing image segmentation on a color image; partitioning a grayscale range into a preset number of intervals, and for each super pixel, statistically obtaining a histogram of all the pixel points that fall within the intervals; determining, in a current super pixel, whether a ratio of the number of pixels contained in the interval having a maximum interval distribution value, to the total number of pixels in the current super pixel is less than the first threshold; and if so, further dividing the current super pixel using a color-based segmentation method. The disclosed method and device improve accuracy of color image division while ensuring image processing speed, thus improving detection accuracy of the irregular edge regions.

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 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: Embodiments of the present disclosure disclose a quick intra code-rate predicting method in the field of video coding, which may skip an entropy coding procedure during an RDO process by modeling residual information of a prediction block and predicting the number of coding bits of the prediction block based on an information entropy theory under a corresponding model. The code-rate predicting method comprises: making statistics on prediction block distribution information and modeling to obtain a combined model, predicting the number of coding bits of a prediction mode based on the model, and correcting the predicted number of coding bits for predicting the code-rate of each prediction mode during the RDO process, so as to replace a high time complexity in an actual entropy coding procedure, thereby effectively reducing the coding time with less video quality loss. The present disclosure is applicable to Iframe code-rate prediction for in video coding.

Abstract: A method for designing multi-component high-strength titanium alloy, including the following steps: 1. smelting alloy ingots of specific compositions of the research system 2. cutting metal ingots into cubes of desired sizes; 3. preparing multi-component diffusion multiples. 4. performing vacuum-diffusion and annealing on the prepared diffusion multiples. 5. performing solution and aging treatments on the diffusion multiples after vacuum-diffusion and annealing. measuring the composition, microstructure and microhardness of different areas of the diffusion multiples, establishing the database of “composition-microstructure-hardness” correspondence of the titanium alloy.

Abstract: Provided are a method and system for protecting virtual network mapping, and a computer storage medium; wherein the method includes that an application layer edits and defines at least one sub-network model based on a network editing request; a network virtualization layer constructs the at least one sub-network model, and integrates the at least one sub-network model into a global network view; and a controller layer respectively maps the at least one sub-network model contained in the global network view into a working device network and a protection device network, and when the working device network has failures, specified conditions are met, and the protection device network has no failure, switches a working mapping relationship of the corresponding sub-network from the working device network to the protection device network.

Abstract: A system may automatically create training datasets for training a segmentation model to recognize features such as lanes on a road. The system may receive sensor data representative of a portion of an environment and map data from a map data store including existing map data for the portion of the environment that includes features present in that portion of the environment. The system may project or overlay the features onto the sensor data to create training datasets for training the segmentation model, which may be a neural network. The training datasets may be communicated to the segmentation model to train the segmentation model to segment data associated with similar features present in different sensor data. The trained segmentation model may be used to update the map data store, and may be used to segment sensor data obtained from other portions of the environment, such as portions not previously mapped.

Abstract: The present disclosure discloses a method and apparatus for fast inverse discrete cosine transform and a video coding/decoding method and framework. By recording positions of non-zero coefficients in a transform unit during a procedure of performing inverse quantization scanning to the coefficients, determining a distribution pattern of non-zero coefficients of the transform unit based on the positions of non-zero coefficients, and further selecting an inverse discrete cosine transform function corresponding to the non-zero coefficient distribution pattern, and then performing inverse cosine transform to the function, the technical solutions of the present disclosure need not compute the zero coefficients, which thus improves the overall speed of an algorithm; because the positions of non-zero coefficients have been recorded during the procedure of performing inverse quantization scanning to the coefficients, the complexity of the algorithm is lowered.

Abstract: The present disclosure provides a developing apparatus, which includes a developing mechanism and a heating mechanism, and the heating mechanism includes a plurality of heating units. The plurality of heating units are provided above or below the developing mechanism, and each heating unit of the plurality of heating units is disposed independently.

Abstract: A stator, a motor and a compressor are provided. The stator includes a stator iron core and a winding. The stator iron core includes: an annular yoke; multiple stator teeth, near ends of the stator teeth being fixedly adjacent to an inner surface of the yoke and projecting inward towards the center of the stator iron core along a radial direction of the yoke, remote ends of the stator teeth that face inward along the radial direction defining a center hole for accommodating a rotor, and the stator teeth being spaced from each other in a circumferential direction; and multiple stator slots, each stator slot being defined between two neighboring stator teeth. The winding is wound around the stator teeth and operable for generating a rotating magnetic field. The yoke has at least two cut edges at an outer periphery thereof, disposed asymmetrically relative to the center.

Abstract: Disclosed are a describing method and a coding method of panoramic video ROIs based on multiple layers of spherical circumferences. The describing method comprises: first setting a center of the panoramic video ROIs; then setting the number of layers of ROIs as N; obtaining the size Rn of the current layer ROI based on a radius or angle; obtaining the sizes of all of the N layers of ROIs, and writing information such as the center of the ROIs, the number of layers, and the size of each layer into a sequence header of a code stream. The coding method comprises adjusting or filtering an initial QP based on a QP adjusted value and then coding an image. By flexibly assigning code rates to multiple layers of panoramic video ROIs, while guaranteeing a relatively high image quality of ROIs, the code rate needed for coding and transmission is greatly reduced.

Abstract: Embodiments of the present disclosure provide a motor rotor and a motor. The motor rotor includes: multiple groups of laminations having inner bores and arranged alternately in an axial direction of the motor rotor. The motor includes a stator and the abovementioned motor rotor provided in the stator. The motor rotor and the motor according to embodiments of the present disclosure, for example, may reduce installation costs of the laminations and a rotor shaft in the motor rotor.

Abstract: A cross-media search method using a VGG convolutional neural network (VGG net) to extract image features. The 4096-dimensional feature of a seventh fully-connected layer (fc7) in the VGG net, after processing by a ReLU activation function, serves as image features. A Fisher Vector based on Word2vec is utilized to extract text features. Semantic matching is performed on heterogeneous images and the text features by means of logistic regression. A correlation between the two heterogeneous features, which are images and text, is found by means of semantic matching based on logistic regression, and thus cross-media search is achieved. The feature extraction method can effectively indicate deep semantics of image and text, improve cross-media search accuracy, and thus greatly improve the cross-media search effect.

Abstract: A method and a device for extracting local features of a 3D point cloud are disclosed. Angle information and the concavo-convex information about a feature point to be extracted and a point of an adjacent body element are calculated based on a local reference system corresponding to the points of each body element. The feature relation between the two points can be calculated accurately. The property of invariance in translation and rotation is possessed. Since concavo-convex information about a local point cloud is contained during extraction, the inaccurate extraction caused by ignoring concavo-convex ambiguity in previous 3D local feature description is resolved.

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: 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: A method for image de-blurring includes estimating an intermediate image L by marking and constraining an edge region and a smooth region in an input image; estimating a blur kernel k by extracting salient edges from the intermediate image L, wherein the salient edges have scales greater than those of the blur kernel k; and restoring the input image to a clear image by performing non-blind deconvolution on the input image and the estimated blur kernel k. Imposing constraints on the edge region and the smooth region allows the intermediate image to maintain the edge while effectively removing noise and ringing artifacts in the smooth region. The use of the salient edges in the intermediate image L enables more accurate blur kernel estimation. Performing non-blind deconvolution on the input image and the estimated blur kernel k restores the input image to a clear image achieving desired de-blurring effect.

Abstract: The invention discloses a roasting method for meat based on temperature, including: cooking: cooking the pretreated raw meat to center temperature of 70-80 degree Celsius, and maintaining for 1-2 min; drying: performing drying treatment of the surface of the raw meal: after cooking treatment; roasting: roasting the dried raw meat to surface temperature of 110-120 degree Celsius and maintaining for 5-8 min. The inventive method uses the cooking center temperature and the roasting surface temperature as key control points of roast meat to facilitate on-line monitoring and automatic production, which is an economical and practical new roasting method. The roast meat prepared by the inventive method not only ensures color and flavor of traditional roasting method, but also shortens roasting time. The roasting method can be used for the industrial production of roast meat.

Abstract: A P frame-based multi-hypothesis motion compensation method includes: taking an encoded image block adjacent to a current image block as a reference image block and obtaining a first motion vector of the current image block by using a motion vector of the reference image block, the first motion vector pointing to a first prediction block; taking the first motion vector as a reference value and performing joint motion estimation on the current image block to obtain a second motion vector of the current image block, the second motion vector pointing to a second prediction block; and performing weighted averaging on the first prediction block and the second prediction block to obtain a final prediction block of the current image block. The method increases the accuracy of the obtained prediction block of the current image block without increasing the code rate.