Abstract: An image processing system identifies objects within images or video segments. To identify an object within an image, the system identifies one or more regions of an image that contain an object. In some examples, a tracklet is used to track an object though a plurality of image frames within a video segment allowing more than one image frame to be used in object detection, and thereby increasing detection accuracy. Various embodiments utilize a deep learning based object detection framework and similar object search framework that models the correlations present between various object categories. The system determines a category for each object detected using a hierarchical tree of categories to learn the visual similarities between various object categories. The hierarchical tree is estimated by analyzing the errors of an object detector which does not use any correlation between the object categories.

Abstract: Provided are an image processing method, apparatus and a storage medium. The method includes: collecting at least one image within a field of view of an image collection device in real time through the image collection device of a terminal device; determining whether a first image includes at least one character based on the collected first image; under a situation that the collected first image includes the character, outputting prompt information to a user; receiving a setting instruction input by the user; and improving sharpness of the character according to the setting instruction to obtain a second image, and compressing and storing the second image.

Abstract: A system and method for encoding a digital image may include obtaining image data of the digital image, wherein the image data comprises a plurality of image pixels, selecting a plurality of sample pixels from the plurality of image pixels, clustering the plurality of sample pixels based on an influence function to generate a plurality of hue clusters, classifying the image pixels to the plurality of the hue clusters, and assigning hue values of the hue clusters to the plurality of the image pixels.

Abstract: A data processing device includes an image data receiving section that receives image data, a data conversion section that converts the image data received by the image data receiving section into data having a format different from a format of the received image data, and a hash value generation section that generates a hash value of the data obtained by conversion of the data conversion section from the received image data.

Abstract: A method for processing an image, an electronic device and a storage medium are provided. The method includes acquiring a first face image; extracting a face highlight area from the first face image, in which the face highlight area is an area having a brightness value not lower than a first predetermined brightness threshold in a face area of the first face image; obtaining a second face image by decreasing the brightness value of the face highlight area based on a predetermined highlight darkening parameter; obtaining a third face image by converting a color format of the second face image into a RGB color format and decreasing an intensity of each color channel of each pixel in the second face image, and obtaining a target face image by blending the third face image and the first face image.

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: Methods and systems are provided for implementing static channel filtering operations upon image datasets transformed to frequency domain representations, including decoding images of an image dataset to generate a frequency domain representation of the image dataset; discarding coefficient values of one or more particular frequency channels of each image of the image dataset in a frequency domain representation; and transporting the image dataset in a frequency domain representation to one or more special-purpose processor(s). Methods and systems of the present disclosure may enable a filtered image dataset to be input to a second layer of a learning model, bypassing a first layer, or may enable a learning model to be designed with a reduced-size first layer. This may achieve benefits such as reducing computational overhead and time of machine learning training and inference computations, reducing volume of image data input into the learning model, and reducing convergence time.

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: An image compression method and an image compressor are provided. The image compression method compresses the image data based on the fixed-length code (FLC) to generate the compressed data, and includes the following steps: determining whether a characteristic value of the image data meets a condition; encoding only the luminance component of the image data to generate the compressed data when the characteristic value meets the condition; encoding the luminance and chrominance components of the image data to generate the compressed data when the characteristic value does not meet the condition; and storing the compressed data.

Abstract: Methods and image processing systems are provided for determining a dominant gradient orientation for a target region within an image. A plurality of gradient samples are determined for the target region, wherein each of the gradient samples represents a variation in pixel values within the target region. The gradient samples are converted into double-angle gradient vectors, and the double-angle gradient vectors are combined so as to determine a dominant gradient orientation for the target region.

Abstract: A method performed by one or more devices is disclosed. The method includes detecting a first image information item indicative of at least one soiling on a textile, determining a soiling information item indicative of at least one property of the soiling on the textile where the at least one property is determined based at least in part on the detected first image information item and the at least one property of the soiling is determined based at least in part on a property dependent on the outline of the soiling, and outputting or causing the outputting of the determined soiling information item. Furthermore, a device and a system for performing the subject method is disclosed.

Abstract: According to an embodiment, an encoding device includes an index setting unit and an encoding unit. The index setting unit generates a common index in which reference indices of one or more reference images included in a first index and a second index are sorted in a combination so as not to include a same reference image in accordance with a predetermined scanning order. The first index representing a combination of the one or more reference images referred to by a first reference image. The second index representing a combination of the one or more reference images referred to by a second reference image. The encoding unit encodes the common index.

Abstract: A practical method and system for transportation agencies (federal, state, and local) to monitor and assess the safety of their roadway networks in real time based on traffic conflict events such that corrective actions can be proactively undertaken to keep their roadway systems safe for travelling public. The method and system also provides a tool for evaluating the performance of autonomous vehicle/self-driving car technologies with respect to safety and efficiency.

Abstract: System and method of implementing an Impurity Detection System in Continually Running Water employing spatially separated smartphone video cameras equipped with periscopic lens attachments, a water flow meter, a sensor operated reagent dispensing system, a light reflecting chamber with patterned surface and optically transmissive windows, and machine vision software for image analysis. The smartphone is equipped with custom optical lens attachments including a periscope that improves spatial separation between camera images. The water flow meter bends according to the amount of water flow, and the sensors modulate the amount of dispensed reagents, such as orthotolidine (C14H16N2). The apparatus monitors the varied levels of impurities, including turbidity and fluorescence, within continually running water, and triggers alarm signals. Machine vision software subsequently analyzes the spatially separated images and matches existing databases to identify key contaminant characteristics.

Abstract: According to an embodiment, an image coding method is for coding an image including a luminance component and color difference components. The method includes acquiring a reference image; and generating a predicted image by interpolating the luminance component and the color difference components in the reference image according to a motion vector. If a size of a block, which is designated as a unit of the interpolation, is equal to or smaller than a predetermined first threshold value, the generating includes inhibiting a bi-directional prediction, and performing only a uni-directional prediction to generate the predicted image according to the motion vector.

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: The image coding method includes: determining a context in a current block in the image, from among a plurality of contexts; and performing arithmetic coding on the control parameter for the current block to generate a bitstream corresponding to the current block, wherein in the determining: the context is determined under a condition that control parameters of neighboring blocks of the current block are used, when the signal type is a first type, the neighboring blocks being a left block and an upper block of the current block; and the context is determined under a condition that the control parameter of the upper block is not used, when the signal type is a second type, and the second type is (i) “merge_flag”, (ii) “ref_idx_l0” or “ref_idx_l1”, (iii) “inter_pred_flag”, (iv) “mvd_l0” or “mvd_l1”, (v) “no_residual_data_flag”, (vi) “intra_chroma_pred_mode”, (vii) “cbf_luma”, and (viii) “cbf_cb” or “cbf_cr”.

Abstract: According to an embodiment, an encoding device includes an index setting unit and an encoding unit. The index setting unit generates a common index in which reference indices of one or more reference images included in a first index and a second index are sorted in a combination so as not to include a same reference image in accordance with a predetermined scanning order. The first index representing a combination of the one or more reference images referred to by a first reference image. The second index representing a combination of the one or more reference images referred to by a second reference image. The encoding unit encodes the common index.

Abstract: This disclosure relates to advanced image signal processing technology including encoded signals and digital watermarking.

Abstract: A method and apparatus for frame coding in adaptive raster scan order. The method includes encoding at least one of image or video utilizing input frames and at least one of a data related to the input frame to produce bitstream with raster scan order information and displacement information for producing compressed video bitstream, at decoding time, decoding at least one of the encoded bitstream with raster scan order information and displacement information for producing compressed video bitstream.