Abstract: The present disclosure provides an image processing method and an image processing apparatus. The image processing method including replacing an object in a scene image with a preset template image to generate a virtual image; dividing the scene image into a plurality of image blocks with a preset size; determining pixel residuals of the scene image according to an average pixel value of pixel points in an area where the object is located in the scene image and an average pixel value of pixel points falling into the area where the object is located in each of the plurality of image blocks; determining illumination offsets according to the pixel residuals; and updating pixel values of pixel points in the virtual image according to the illumination offsets to implement illumination transfer.

Abstract: A multi-scale aggregation pattern analysis method for a complex traffic network is provided, which belongs to the field of the highway traffic network. Firstly, an adjacency matrix, a position attribute matrix, a distance weight matrix, a road grade matrix, and a time-phased traffic congestion degree matrix of a highway traffic network are calculated; secondly, a weight influence factor of the road network is incorporated based on a PageRank algorithm to determine order of critical nodes; finally, a two-dimensional decision diagram is drawn by two indicators: order of critical nodes and a shortest path distance. A new weighting matrix which accords with the actual situation of the road network is obtained by incorporating a position weight matrix, a distance weight matrix, a road grade weight matrix and a dynamic traffic congestion degree weight matrix based on a similarity matrix of the spectral clustering.

Abstract: The present disclosure provides an image processing method and an image processing apparatus. The image processing method including: performing line detection on a boundary of an object in a scene image to obtain a plurality of candidate lines; taking one of the plurality of the candidate lines, which has the largest number of pixels overlapping with the boundary, as a first reference line; generating a minimum bounding rectangle of the object in the scene image; generating a transformed area, wherein each of four vertexes of the minimum bounding rectangle is on one of four sidelines of the transformed area; transforming a preset image into the transformed area to generate a transformed image; and overlaying the object with the transformed image to update the scene image.

Abstract: Provided are a method and apparatus of embedding an image in video, and a method and apparatus of acquiring a plane prediction model, relating to the field of image processing. The method includes inputting a video frame image of a video into a plane prediction model to obtain a predicted plane mask of the video frame image, the plane prediction model being obtained by training a deep learning model using training images with labels having plane detection frames and plane masks; embedding the image to be embedded into the predicted plane mask of the video frame image.

Abstract: A video image segmentation method includes: obtaining an image segmentation model by performing machine learning based on a historical video image and a mask image of the historical video image; adjusting the image segmentation model based on an initial frame of an image to be segmented, a previous frame of a frame to be segmented and a mask image of the previous image; and performing segmentation on the image to be segmented using the image segmentation model after the adjusting.

Abstract: The disclosure relates to the technical field of data processing. Disclosed are a pedestrian flow funnel generation method and apparatus, a storage medium and an electronic device. The method can comprise: acquiring a current frame of image, and tracking and updating, according to a multi-target tracking algorithm, a head and shoulder area in a tracking sequence set in the current frame of image; acquiring, according to a head and shoulder recognition model, a head and shoulder area in the current frame of image, and updating, according to the head and shoulder area in the current frame of image, the tracking sequence set; analysing a motion track of each head and shoulder area in the tracking sequence set so as to count pedestrians, and when the current frame of image is the last frame of image, generating a pedestrian flow funnel based on a counting result of pedestrians.

Abstract: A high-dimensional image feature matching method and device relating to the field of image retrieval. The method includes extracting a high-dimensional image feature of an image to be retrieved; dividing the high-dimensional image feature of the image to be retrieved into a plurality of low-dimensional image features; comparing each of the low-dimensional image features of the image to be retrieved with clustering centers at each layer of the low-dimensional image features of the images in a database; and determining a similarity the low-dimensional image feature between the image to be retrieved and each of some images in the database according to a comparison result, so that at least one feature matching the high-dimensional image feature of the image to be retrieved is retrieved in the database.

Abstract: The present disclosure relates to a method and apparatus for determining a target rotation direction. Said method for determining the target rotation direction comprises: inputting successive video frames which comprise a rotation target; establishing a background model for the first image frame in said video frames; performing foreground detection on the video frames other than the first frame by means of said background model so as to determine the rotation axis of said rotation target; obtaining the distribution of optical flow points within a preset region of said rotation axis; determining the direction of rotation of said rotation target according to the distribution of optical flow points within said preset region. By means of the present disclosure, it is possible to simply and efficiently determine the clock direction of a rotation target in a video.

Abstract: Disclosed are an image processing method and apparatus. The method may include: inputting a target image into a pre-trained image detection model to obtain a feature value of a rectangular box in which each graphic of at least one graphic presented by the target image is located, and a probability value of each graphic being a specified graphic code; in response to determining at least two rectangular boxes having regions partially overlapped in the rectangular box involved in the at least one graphic, determining a ratio of an area of partially overlapped regions enclosed by the at least two rectangular boxes to the sum of the areas of the regions enclosed by the at least two rectangular boxes; based on the comparison between the ratio and a preset ratio threshold value, determining a target rectangular box from the at least two rectangular boxes; and generating a processed target image.

Abstract: A playback method, a playback device and computer-readable storage medium related to the data processing field. The playback method includes acquiring several frames in a video and device movement information of a shooting device when the video is shot; acquiring an initial viewing angle and a current viewing angle of a playback terminal used for playing the several frames; determining a frame corresponding to the current viewing angle according to the device movement information and a difference between the current viewing angle and the initial viewing angle; and playing the frame corresponding to the current viewing angle.

Abstract: A method and apparatus for monitoring learning and an electronic device are provided. The method for monitoring learning includes: acquiring a class image of a class student; recognizing the class image to acquire characteristic data of the class student, where the characteristic data includes at least one of the following: facial characteristic data of the class student, visual characteristic data of the class student, and body characteristic data of the class student; and determining, based on the characteristic data of the class student, a class status of the class student. The listening status of a student learning via a computer and the Internet in a class can be effectively and accurately monitored, and an effective reference is provided for subsequent learning and teaching to further improve the learning or teaching process.

Abstract: The disclosure relates to the technical field of data processing. Disclosed are a pedestrian flow funnel generation method and apparatus, a storage medium and an electronic device. The method can comprise: acquiring a current frame of image, and tracking and updating, according to a multi-target tracking algorithm, a head and shoulder area in a tracking sequence set in the current frame of image; acquiring, according to a head and shoulder recognition model, a head and shoulder area in the current frame of image, and updating, according to the head and shoulder area in the current frame of image, the tracking sequence set; analysing a motion track of each head and shoulder area in the tracking sequence set so as to count pedestrians, and when the current frame of image is the last frame of image, generating a pedestrian flow funnel based on a counting result of pedestrians.

Abstract: A video image segmentation method includes: obtaining an image segmentation model by performing machine learning based on a historical video image and a mask image of the historical video image; adjusting the image segmentation model based on an initial frame of an image to be segmented, a previous frame of a frame to be segmented and a mask image of the previous image; and performing segmentation on the image to be segmented using the image segmentation model after the adjusting.

Abstract: A method and apparatus for monitoring learning and an electronic device are provided. The method for monitoring learning includes: acquiring a class image of a class student; recognizing the class image to acquire characteristic data of the class student, where the characteristic data includes at least one of the following: facial characteristic data of the class student, visual characteristic data of the class student, and body characteristic data of the class student; and determining, based on the characteristic data of the class student, a class status of the class student. The listening status of a student learning via a computer and the Internet in a class can be effectively and accurately monitored, and an effective reference is provided for subsequent learning and teaching to further improve the learning or teaching process.

Abstract: The present disclosure relates to a method and apparatus for determining a target rotation direction. Said method for determining the target rotation direction comprises: inputting successive video frames which comprise a rotation target; establishing a background model for the first image frame in said video frames; performing foreground detection on the video frames other than the first frame by means of said background model so as to determine the rotation axis of said rotation target; obtaining the distribution of optical flow points within a preset region of said rotation axis; determining the direction of rotation of said rotation target according to the distribution of optical flow points within said preset region. By means of the present disclosure, it is possible to simply and efficiently determine the clock direction of a rotation target in a video.

Abstract: A playback method, a playback device and computer-readable storage medium related to the data processing field. The playback method includes acquiring several frames in a video and device movement information of a shooting device when the video is shot; acquiring an initial viewing angle and a current viewing angle of a playback terminal used for playing the several frames; determining a frame corresponding to the current viewing angle according to the device movement information and a difference between the current viewing angle and the initial viewing angle; and playing the frame corresponding to the current viewing angle.

Abstract: A high-dimensional image feature matching method and device relating to the field of image retrieval. The method includes extracting a high-dimensional image feature of an image to be retrieved; dividing the high-dimensional image feature of the image to be retrieved into a plurality of low-dimensional image features; comparing each of the low-dimensional image features of the image to be retrieved with clustering centers at each layer of the low-dimensional image features of the images in a database; and determining a similarity the low-dimensional image feature between the image to be retrieved and each of some images in the database according to a comparison result, so that at least one feature matching the high-dimensional image feature of the image to be retrieved is retrieved in the database.

Abstract: A method includes determining whether a region to be recognized corresponding to a specified feature exists in an image to be processed. The method may also include determining a main subject region containing the main subject of the image to be processed in accordance with a preset feature parameter of the main subject region and the coordinates and size of the region to be recognized when the region to be recognized exists. The method may further include extracting an image of the main subject region as a foreground image for an extraction process of a foreground target, and taking the extracted image as the main subject of the image to be processed.

Abstract: A method for extracting a main subject of an image is disclosed. The method may include determining whether a region to be recognized corresponding to a specified feature exists in the image to be processed. The method may also include determining a main subject region containing the main subject of the image to be processed in accordance with a preset feature parameter of the main subject region and the coordinates and size of the region to be recognized when the region to be recognized exists. The method may further extracting an image of the main subject region as a foreground image for an extraction process of a foreground target, and taking the extracted image as the main subject of the image to be processed.

Abstract: An apparatus for increasing vehicle drive power output includes a control device to be disposed and engaged in a vehicle, an engine sensor electrically connected to the control device, and a regulating device to be disposed and engaged in the vehicle and electrically connected to the control device, the regulating device includes a displayer for displaying information, and includes a control knob for controlling the control device and the engine sensor, and includes a switch for controlling the regulating device. A battery sensor is electrically connected to the control device with a connecting cable. A motor is electrically connected to the control device with a coupling cable.