A method can include identifying a geolocation of an object in an image, the method comprising receiving data indicating a pixel coordinate of the image selected by a user, identifying a data point in a targetable three-dimensional (3D) data set corresponding to the selected pixel coordinate, and providing a 3D location of the identified data point.

A method for improving performance of a local device based on guide data from a remote device, according to one embodiment of the present disclosure, includes transmitting, to the remote device, first image data generated by the local device at a first time point, receiving guide data related to the first image data from the remote device, and registering, by a processor, the guide data to second image data generated by the local device at a second time point, based on first spatial information on the first image data, wherein the second time point is a time point that is after the first time point. A trained model for object recognition according to the present disclosure may include a deep neural network generated through machine learning, and the transmitting of the guide data may be performed in an Internet of Things (IoT) environment using a 5G network.

Methods and systems for image processing are provided. Image data may be obtained. The image data may include a plurality of voxels corresponding to a first plurality of ribs of an object. A first plurality of seed points may be identified for the first plurality of ribs. The first plurality of identified seed points may be labelled to obtain labelled seed points. A connected domain of a target rib of the first plurality of ribs may be determined based on at least one rib segmentation algorithm. A labelled target rib may be obtained by labelling, based on a hit-or-miss operation, the connected domain of the target rib, wherein the hit-or-miss operation may be performed using the labelled seed points to hit the connected domain of the target rib.

A computer-implemented method for comparing a first version of a floorplan of a design for an integrated circuit with a second version. The method comprises (i) generating a timing information for each net in the second version by determining whether timing information is available for the net in the first version; (ii) in case no timing information is available in the first version, generating the timing information for the second version by calculating a spatial distance and timing information between two points of the net using wire length differences between the first version and the second version; (iii) otherwise, generating the timing information for the second version by calculating a spatial distance and timing information between two points of the net using a wire reach table to obtain a wire delay.

A learning apparatus for creating an emotion expression video according to an embodiment disclosed include first generative adversarial networks (GAN) that receive text for creating an emotion expression video, extract vector information by performing embedding on the input text, and create an image based on the extracted vector information, and second generative adversarial networks that receive an emotion expression image and a frame of comparison video, and create a frame of emotion expression video from the emotion expression image and the frame of comparison video.

A flow meter, and related system and method are provided. The flow meter includes a coupler, a support member, an image sensor, a valve, and one or more processors. The coupler is adapted to couple to a drip chamber. The support member is operatively coupled to the coupler. The image sensor has a field of view and is operatively coupled to the support member. The image sensor is positioned to view the drip chamber within the field of view. The one or more processors are operatively coupled to the image sensor to receive image data therefrom and to the actuator to actuate the valve. The one or more processors are configured to estimate a flow of fluid through the drip chamber and to actuate the valve to control the flow of fluid through the drip chamber to achieve a target flow rate.

Methods, apparatus, and processor-readable storage media for automatically generating context-based alternative text using artificial intelligence techniques are provided herein. An example computer-implemented method includes generating text captions for an image derived from a web page by processing the image using an artificial intelligence-based image captioning model; determining context information pertaining to the image by processing the image using an artificial intelligence-based context and emotion recognition library; generating context-based alternative text for at least a portion of the image by processing, using at least one artificial intelligence-based alternative text generation model, at least a portion of one or more of the generated text caption(s) for the image and the determined context information pertaining to at least a portion of the image; and performing one or more automated actions based on the generated context-based alternative text.

A method and system for automated deformable registration of an organ from medical images includes generating segmentations of the organ by processing a first and second series of images corresponding to different organ states using a first trained CNN. A second trained CNN processes the first and second series of images and the segmentations to deformably register the second series of images to the first series of images. The second trained CNN predicts a displacement field by minimizing a registration loss function, where the displacement field maximizes colocalization of the organ between the different states.

A method and apparatus for detecting a digital stamp pattern are disclosed. Keypoints and descriptors are extracted from an original template pattern image. A low resolution original document and at least one lower resolution template pattern image are template-matched to detect a matched region based on match correlation coefficients. This region is cropped out of a full resolution original document. Keypoints and descriptors are extracted from the cropped region, and are matched with stamp pattern keypoints and descriptors using feature based pattern matching. A transformation matrix is used to detect scaling, rotation, and translation of a detected digital stamp pattern in the cropped region. A number of qualified matches determined using feature based pattern matching or the transformation matrix are checked against a pre-set threshold. If a pre-set threshold is exceeded, an alert is generated for a possible security issue. Otherwise, a no security issues signal may be generated.

A method and a circuitry for exposure compensation applied to a high dynamic range video are provided. The circuitry is adapted to an image-acquisition device. In the method, when a video is received, the pixel values for each of the sequential frames can be obtained. Next, an exposure value ratio between two adjacent frames is obtained. A processor exposure value ratio of an image signal processor can be regarded as an initial exposure value ratio. A fixed adjustment ratio is used to control the image signal processor and an image sensor of the image-acquirement device so as to calculate an exposure value ratio for each of the frames. The exposure value ratio is referred to for performing the high dynamic range compensation for the frames so as to output an HDR video.