Abstract: Methods, systems, and computer-readable media for rendering light probes in a virtual environment are disclosed. Noisy lighting data is accessed in a data structure associated with a light probe in a set of light probes in an environment. The noisy lighting data is provided as an input to a neural network. The neural network is trained to output an estimate of non-noisy lighting data based on the input. The noisy lighting data is replaced in the data structure with the estimated non-noisy lighting data.

Abstract: A first imaging device and a second imaging device are configured to directly receive a signal from a trigger generation circuit. A processing device processes first image data captured by the first imaging device in response to a first trigger signal, and second image data captured by the second imaging device in response to a second trigger signal. The first trigger signal and the second trigger signal are signals generated to start capturing images at the same time point. The processing device performs recognition processing of a target included in the first image data and the second image data.

Abstract: An image processing device performs a filtering operation on image data according to a set of filter data, and includes a data reconstruction circuit, a memory and an intelligent processor. The data reconstruction circuit reconstructs data of blocks in the image data to generate first reconstruction data, and reconstructs the set of filter data to generate second reconstruction data. The memory stores the first reconstruction data and the second reconstruction data. The intelligent processor executes a depthwise convolution operation according to the first reconstruction data and the second reconstruction data to generate feature map data. Two adjacent of the multiple blocks have partially same data, and quantities of columns in the second reconstruction data are associated with a channel count of the depthwise convolution operation.

Abstract: Techniques and systems are provided for processing one or more frames or images. For instance, a process for determining exposure for one or more frames includes obtaining a motion map for one or more frames. The process includes determining, based on the motion map, motion associated with the one or more frames of a scene. The motion corresponds to movement of one or more objects in the scene relative to a camera used to capture the one or more frames. The process includes determining, based on the determined motion, a number of frames and an exposure for capturing the number of frames. The process further includes sending a request to capture the number of frames using the determined exposure duration.

Abstract: An object classification method includes: acquiring image data of an image including feature information indicating a feature of an object; and classifying the object included in the image, based on the feature information. The image data is acquired by causing a first image capture device to capture the image. The first image capture device includes: an image sensor; and a filter array that is arranged on an optical path of light that is incident on the image sensor and that includes translucent filters two-dimensionally arrayed along a plane that crosses the optical path, the translucent filters including two or more filters in which wavelength dependencies of light transmittances are different from each other, and light transmittance of each of the two or more filters having local maximum values in a plurality of wavelength ranges.

Abstract: Systems and methods for detecting and aligning land property boundaries on aerial imagery are provided. The system receives an aerial imagery having land properties. The system applies a feature encoder having a plurality of levels to the aerial imagery. A first level of the plurality of levels includes a convolution block and a discrete wavelet transform layer. The discrete wavelet transform layer decomposes an input feature tensor to the first level into a low-frequency band and a high-frequency band. The high-frequency band is cached and processed with side-convolutional blocks before the high-frequency band are passed to a feature decoder. The system applies the feature decoder to an output of the feature encoder based at least in part on one of inverse discrete wavelet transform layers. The system determines boundaries of the one or more land properties based at least in part on a boundary cross-entropy loss function.

Abstract: Methods, systems, and media for generating video classifications using multimodal video analysis are provided.

Abstract: A system and method for digital-representation-based flight path planning for object imaging is disclosed. An example embodiment is configured to: obtain a digital representation of an object; retrieve a dataset of image acquisition configuration parameters; extract a surface contour of the object from the digital representation of the object; generate a bounding polygon adjacent to the surface contour of the object, the bounding polygon being set-off from the surface contour of the object based on a configuration defined in the image acquisition configuration parameters; generate a configurable quantity of waypoints at configurable intervals along the bounding polygon; and generate an Image Acquisition Plan (IAP) from the waypoints, the IAP including, for each waypoint, a waypoint position, control instructions, and imaging instructions.

Abstract: Disclosed is a ship image track tracking and prediction method based on ship heading recognition, which includes the following steps: obtaining a ship image data set, preprocessing the data set to obtain a preprocessed data set; inputting the preprocessed data set into the rotating ship detection network for training, obtaining the trained rotating ship detection network, collecting the ship navigation video, and inputting the ship navigation video into the trained rotating ship detection network to obtain the ship detection result; inputting the ship detection result into the rotating ship tracking network and tracking the target ship to obtain the historical trajectory and the heading information of the target ship; inputting the historical trajectory and ship heading information of the target ship into the ship trajectory and ship heading prediction network, and predicting the navigation trajectory and ship heading at sea.

Abstract: A system and method for identification and authentication of vehicles using imaging to develop a vehicle signature based off of both license plate recognition and identification of distinct features of the vehicle. The system may cross-reference the vehicle signature against databases of known vehicle signatures to authenticate the vehicle and to determine whether or not the vehicle is on a whitelist.

Abstract: An image processing method, apparatus, and electronic device relate to the technical field of image processing. In the method, an initial image is acquired; and then a connected region in the initial image is acquired, where the connected region is a region composed of pixels having pixel values within a target threshold range in the initial image. In addition, a region of interest in the initial image is acquired according to the connected region, and the region of interest is preprocessed to obtain a target image. By extracting the region of interest in the initial image, and only preprocessing the region of interest, the resource expenditure during image preprocessing can be reduced, and the preprocessing efficiency can be improved.

Abstract: Devices, methods, and non-transitory computer readable media are disclosed herein to repair or mitigate the appearance of unwanted reflection artifacts in captured video image streams. These unwanted reflection artifacts often present themselves as brightly-colored spots, circles, rings, or halos that reflect the shape of a bright light source in the captured image. These artifacts, also referred to herein as “ghosts” or “green ghosts” (due to often having a greenish tint), are typically located in regions of the captured images where there is not actually a bright light source located in the image. In fact, such unwanted reflection artifacts often present themselves on the image sensor across the principal point of the lens from where the actual bright light source in the captured image is located. Such devices, methods and computer readable media may be configured to detect, track, and repair such unwanted reflection artifacts in an intelligent and efficient fashion.

Abstract: A device, a computer implemented method, and a computer program product, the device including a capture device configured for capturing an image, and a processor configured to: receiving at least a part of an image captured by the capture device, analyzing the at least part of the image to determine a looking direction of a subject at an object, based on the looking direction, determining an engagement level of a subject with the object, and outputting the engagement level or whether the engagement level is in compliance with a required engagement level, while disabling transmission of information that enables reconstruction of the at least part of the image.

Abstract: Various embodiments set forth systems and techniques for evaluating media content items. The techniques include receiving visual feedback associated with one or more audience members viewing a first media content item; analyzing the visual feedback to generate one or more emotion signals based on the visual feedback; and generating a set of features associated with the one or more audience members viewing the first media content item based on the one or more emotion signals.

Abstract: Methods and systems for automatic license plate recognition (ALPR) can involve obtaining results from a manual image review of an image captured by one or more ALPR cameras and processed by an ALPR engine and feeding the results from the manual image review back to the ALPR engine to train the ALPR engine where to search in the image for a license plate. Training of the ALPR engine increase the attach rate of an optical character recognition (OCR) engine with respect to images captured the ALPR camera(s) and processed by the ALPR engine.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for underwater feed movement detection. In one aspect, the method may include the actions of obtaining images captured at different time points, where the images are captured by a camera and indicate feed that has been dispersed by a feeder for aquatic livestock inside an enclosure; determining, for each image, respective locations of the feed indicated by the image; determining, from the respective locations of the feed, a respective movement of the feed over the different time points; determining, based on the respective feed movement of the feed over the different time points, water current movement within the enclosure for the aquatic livestock; and outputting an indication of the water current movement.

Abstract: A character recognition device includes a recognizer that recognizes at least one character string from an image including a trailer captured by an imaging device, and a selector. The selector selects character strings conforming to a specified notation format among the character strings recognized by the recognizer as candidates of a trailer ID/container ID, and that selects one of the candidates of the trailer ID/container ID, which has a similarity to master data of a previously held trailer ID/container ID equal to or larger than a predetermined threshold value as the trailer ID/container ID.

Abstract: An image synthesis method includes inputting an original image and a watermark image into a synthesis model and obtaining a synthesized image output from the synthesis model. The original image and the watermark image are respectively processed in first and second sub-models of the synthesis model and then combined, and the concatenated result is processed in a third sub-model to generate the synthesized image.

Abstract: Systems and methods are described for the compositing together of model-linked vascular data from a plurality of sources, including at least one 2-D angiography image, for display in a frame of reference of the at least one angiography image. In some embodiments, a linking model comprises a data structure configured to link locations of angiographic images to corresponding elements of non-image vascular parameter data. The linking data structure is traversed to obtain a mapping to the frame of reference of one or more of the angiographic images.

Abstract: A vehicle speed acquiring unit acquires a vehicle speed. A moving range calculating unit calculates, based on the vehicle speed, a pre-stop moving range within which the vehicle may cover before coming to a stop. A sensor information acquiring unit acquires object detection information indicating a detected object, detected by a sensor, in the surroundings of the vehicle. An image superposing unit superposes the pre-stop moving range and the position of the detected object included in the object detection information on top of each other on a screen. In addition, the image superposing unit generates a superposed image that displays the position of a detected object estimated, based on position information of the detected object included in the object detection information, to have a possibility of overlapping the pre-stop moving range, more saliently than the positions of other detected objects. An image presenting unit presents the generated superposed image.