Abstract: Methods and decompression units for decompressing data from a compressed block of image data, the compressed block of image data representing a block of image data comprising a plurality of image element values, the image element values being divisible into at least a first value and a second value such that the block of image data comprises a two-dimensional block of first values.

Abstract: A computing system that can receive an object search request from a user indicating a request to search for a specific object in an area traversed by one or more autonomous vehicle. The object search request can include a set of physical characteristics of the specific object. The computing system can then transmit a signal to an autonomous vehicle indicating a request for the autonomous vehicle to search for the specific object. The signal can cause the autonomous vehicle to transmit an image, selected based on a physical characteristic of the object, to the computing system. The computing system can then generate a score indicative of a difference between one or more physical characteristic of the object in the image and the specific object. The computing system can then selectively transmit the image to a mobile device operated by the user based on the score.

Abstract: A synthesizing apparatus comprises: an input part that inputs a plurality of feature point sets that are respectively extracted by a plurality of methods from an input image having a curved stripes pattern formed by ridges; and a synthesizing part that synthesizes the plurality of feature point sets by executing a logical operation on the plurality of feature point sets. The synthesizing part can execute a logical OR operation on the plurality of feature point sets. The synthesizing part can also execute a logical AND operation on the plurality of feature point sets.

Abstract: The present invention provides an image encoding method and an image decoding method. The image decoding method, according to the present invention, comprises the steps of: decoding information associated with a clipping range of a current block; and performing sample adaptive offset (SAO) filtering on the basis of the information associated with the clipping range, wherein the information associated with the clipping range may include information on the maximum and minimum values of a pixel value included in the current block.

Abstract: Systems and methods for detecting, geolocating, assessing, and/or inventorying infrastructure assets. In some embodiments, a plurality of images captured by a moving camera may be used to generate a point cloud. A plurality of points corresponding to a pavement surface may be identified from the point cloud. The plurality of points may be used to generate at least one synthetic image of the pavement surface, the at least one synthetic image having at least one selected camera pose. The at least one synthetic image may be used to assess at least one condition of the pavement surface.

Abstract: Disclosed are a method and an apparatus for image encoding/decoding. The method for image decoding includes comparing whether a size of a current transform block and a size of a smallest transform block (smallest transform unit (STU)) are the same as each other, and decoding information indicating whether transformation is performed on the current transform block and determining whether to perform inverse transformation on the current transform block based on the decoded information indicating whether the transformation is performed when the size of the current transform block and the size of a smallest transform block are the same as each other.

Abstract: This disclosure relates to advanced image signal processing technology including encoded signals and digital watermarking. We disclose methods, systems and apparatus for selecting which ink(s) should be selected to carry an encoded signal for a given machine-vision wavelength for a retail package or other printed design. We also disclose retail product packages and other printed objects, and methods to generate such, including a sparse mark in a first ink and an overprinted ink flood in a second ink. The first ink and the second ink are related through tack and spectral reflectance difference. Of course, other methods, packages, objects, systems and apparatus are described in this disclosure.

Abstract: A VR image compression transmission method and system are provided. A video image to be sent by a server is obtained and the video image is locally compressed according to a compression range to obtain a first compressed video image. Video encoding is performed on the first compressed video image to obtain a transmission video image, and then the transmission video image is transmitted to a client and video decoding is performed on the transmission video image to restore the transmission video image into a second compressed video image. The second compressed video image is decompressed to obtain a display video image.

Abstract: An image retrieval system receives an image for which to identify relevant images from an image repository. Relevant images may be of the same environment or object and features and other characteristics. Images in the repository are represented in an image retrieval graph by a set of image nodes connected by edges to other related image nodes with edge weights representing the similarity of the nodes to each other. Based on the received image, the image traversal system identifies an image in the image retrieval graph and alternatively explores and traverses (also termed “exploits”) the image nodes with the edge weights. In the exploration step, image nodes in an exploration set are evaluated to identify connected nodes that are added to a traversal set of image nodes. In the traversal step, the relevant nodes in the traversal set are added to the exploration set and a query result set.

Abstract: Provided are a detection method, a detection apparatus and a detection process. The detection method includes: using a sensor for idle scanning to obtain a first output electrical signal, and performing feedback correction on the first output electrical signal to eliminate a noise to obtain first correction data; using the sensor to scan a correction specimen page to obtain a second output electrical signal, and performing the feedback correction on the second output electrical signal to eliminate a noise to obtain second correction data; calculating according to the first correction data, the second correction data and an electrical signal predetermined value to obtain third correction data; using the sensor to scan a to-be-detected object to obtain a third output electrical signal; and correcting the third output electrical signal according to the first correction data and the third correction data. In the detection method obtains an accurate detection result.

Abstract: A computer vision processor of a camera extracts attributes of persons or vehicles from hyperzooms generated from image frames. The hyperzooms represent traffic patterns. The extracting is performed using a feature extractor of an on-camera convolutional neural network (CNN) including an inverted residual structure. The attributes include at least colors of clothing of the persons or colors of the vehicles. Mobile semantic segmentation models of the CNN are generated using the hyperzooms and the attributes. Attribute analytics are generated by executing the mobile semantic segmentation models while obviating network usage by the camera. The attribute analytics are stored in a key-value database located on a memory card of the camera. A query is received from the server instance specifying one or more of the attributes. The attribute analytics are filtered using the one or more of the attributes to obtain a portion of the traffic patterns.

Abstract: The present disclosure relates to systems and methods for generating orthotic device models using simulated patient anatomy. In one implementation, a method comprises receiving images of a body part of a patient; deriving physical measurements from the images; generating anatomy model data of the body part using the physical measurements; and generating orthotic model data based on the anatomy model data, the orthotic model data being representative of an orthotic device.

Abstract: Techniques for deblur kernel calibration are provided. A first distribution of decode counts is determined for a plurality of deblur kernels. The plurality of deblur kernels are ranked based on the first distribution. An input image depicting a label is received, and a first deblur kernel of the plurality of deblur kernels is selected based on the ranking. The input image is processed using the first deblur kernel.

Abstract: The present disclosure relates to an imaging processing apparatus and method by which degradation of the quality due to two-dimensional projection of 3D data can be suppressed. All pieces of data for each position included in 3D data representative of a three-dimensional structure are projected to a two-dimensional plane of plural layers. Further, all pieces of data for each position of 3D data projected to a two-dimensional plane having the number of layers indicated by layer number information are projected to a three-dimensional space. The present disclosure can be applied, for example, to an information processing apparatus, an image processing apparatus, electronic equipment, an information processing method, and a program.

Abstract: The present disclosure provides a multi-image-based image enhancement method and device, an electronic device and a non-transitory computer readable storage medium. The method includes: aligning a low-resolution target image and a reference image in an image domain; performing, an alignment in a feature domain; and synthesizing features corresponding to the low-resolution target image and features corresponding to the reference image to generate a final output.

Abstract: Systems that search databases of videos or images to identify similar products in a given video or image of a product are disclosed. The content of the given video is represented by a feature vector used to measure the given video's similarity to either a video or an image. When the system is deployed to recognize particular fashion items in videos, some such videos are taken in uncontrolled settings, and as a result, may have low resolution, poor contrast, minimal focus, motion blur, or low lighting. By recognizing and removing poor quality video frames from the image recognition pipeline, associating products across video frames to form tracklets of each product, and enriching the feature representation of each item for best retrieval result by fusing information from multiple video frames depicting the item, the system addresses the aforementioned shortcomings.

Abstract: Disclosed is a compression system for compressing image data. The compression system receives an uncompressed image file with data points that are defined with absolute values for elements representing the data point position in a space. The compression system stores the absolute values defined for a first data point in a compressed image file, determines a difference between the absolute values of the first data point and the absolute values of a second data point, derives a relative value for the absolute values of the second data point from the difference, and stores the relative value in place of the absolute values of the second data point in the compressed image file.

Abstract: An encoder may perform a dynamic encoding that adapts the encoding of hyperspectral data according to the number of bands of the electromagnetic spectrum that are captured by different imaging devices, the amount of data that is contained in each band, and/or encoding criteria that are specified by a user or that are automatically generated by the encoder for an optimal encoding of the hyperspectral data. The encoder may receive hyperspectral data for different electromagnetic spectrum bands. The encoder may determine an encoding resolution based on one or more of a number of bands and a maximum resolution within the received bands. The encoder may configure a block size for a file format that is used to store an encoding of the hyperspectral data based on the encoding resolution, and may encode the hyperspectral data contained within each band to at least one block of the block size.

Abstract: An apparatus and method to adjust item recommendations are disclosed herein. A first image attribute of a query image is compared to a second image attribute of each of a plurality of inventory images of a plurality of inventory items to identify the inventory items similar to the query image. Item recommendations comprising the identified inventory items in a first listing order are provided for display at a remote device. A second listing order of the identified inventory items is determined based on a user preference for a particular one of the identified inventory items. At least the second listing order is provided to the remote device for re-display of the item recommendations in accordance with the second listing order.

Abstract: Techniques for generating an ensemble image are disclosed. In some embodiments, images associated with a plurality of independent scenes are translated to a prescribed origin, translated images associated with each independent scene are transformed into a prescribed perspective; and pixels of an image array having the prescribed perspective that is associated with each independent scene is populated with corresponding pixels from the transformed translated images associated with that independent scene. An ensemble image comprising the prescribed perspective is at least in part generated by combining at least some pixels of image arrays associated with the plurality of independent scenes.