Abstract: Methods and systems are disclosed for an unmanned aerial vehicle (UAV) configured to autonomously navigate a physical environment while capturing images of the physical environment. In some embodiments, the motion of the UAV and a subject in the physical environment may be estimated based in part on images of the physical environment captured by the UAV. In response to estimating the motions, image capture by the UAV may be dynamically adjusted to satisfy a specified criterion related to a quality of the image capture.

Abstract: The spray dryer comprises a spray drying chamber having a substantially cylindrical top section, a conical wall and a narrowed lower section. In the top section, atomizing means is provided. One or more cameras are associated with the drying chamber in order to monitor the process. At least one of the cameras is an infrared camera adapted for measuring the temperature within a predefined area.

Abstract: A method and apparatus for decoding a video stream encoded using video point cloud coding, the decoding including obtaining a geometry-reconstructed point cloud based on one or more patches; identifying a first boundary of a patch including a plurality of first boundary points; identifying a second boundary including a plurality of second boundary points inside the first boundary; performing smoothing on the first boundary points and the second boundary points; obtaining a smoothed geometry-reconstructed point cloud based on the smoothed first boundary points and the smoothed second boundary points; and reconstructing a dynamic point cloud using the smoothed geometry-reconstructed point cloud.

Abstract: An original input content is subjected to multiple constant quality probe encodes for a defined set of resolutions. In one embodiment, probe encodes encode a few parts of the original source video, for example, 30 seconds from 5 different positions. Each probe encode delivers an average bitrate that is required to achieve the configured constant quality. The mean value of the average bitrate is taken per resolution. This results in a list of bitrates that map to a resolution that would achieve the best quality, a custom bitrate table. Based on the custom bitrate table, an optimized bitrate ladder is computed. The process starts with a configurable minimum bitrate and steps up by a bitrate step size that is between a configurable min and max bitrate step size until the bitrate of the highest resolution is reached.

Abstract: A method, apparatus and computer program product are provided to estimate the location of a vehicle based at least in part upon two or more road signs that are depicted by one or more images captured by one or more image capture devices onboard the vehicle. By relying at least in part upon the two or more road signs, the location of the vehicle may be refined or otherwise estimated with enhanced accuracy, such as in instances in which there is an inability to maintain a line-of-sight with the satellites of a satellite positioning system or otherwise in instances in which the location estimated based upon reliance on satellite or radio signals is considered insufficient. As a result, the vehicle may be navigated in a more informed and reliable manner and the relationship of the vehicle to other vehicles may be determined with greater confidence.

Abstract: A monitoring method for a positioning device includes the following steps. The motion of a positioning device is sensed by a first sensing device in a first sensing area of a monitoring area, so as to generate a plurality of first sensing signals. The first sensing signals are received by a processing device. The first sensing signals are analyzed and calculated by the processing device to generate a first processing result associated with the motion of the positioning device. The first processing result is displayed on a display device. Therefore, the position distribution and motion trajectory of the positioning device may effectively be obtained, and the timeliness of monitoring and the convenience of use are increased.

Abstract: A method for setting the motion vector list and the apparatus using the same may include determining the presence of a first motion vector or a second motion vector by a sequential determination process in a first spatial candidate prediction group; and setting the first motion vector or the second motion vector produced through the sequential determination process as the candidate prediction motion vector. Thus, the encoding/decoding time and the complexity can be reduced by restricting the scaling number in a process for scanning the candidate prediction motion vector.

Abstract: An imaging system for a vehicle including a cylindrical housing including a housing surface, the housing having a first end and a second end opposite the first end, an imaging sensor extending from the first end of the housing, the imaging sensor rotatable from a first position to a second position, a connection member coupled to the imaging sensor and enclosed within the housing, and a cap coupled to the housing at the second end, the cap including a cap surface having an alignment indicator. Rotation of the cap rotates the imaging sensor from the first position to the second position.

Abstract: A method and an apparatus for encoding and/or decoding digital images, wherein the encoding apparatus includes a processor configured for determining weights of a graph related to an image by minimizing a cost function, transforming the weights through a graph Fourier transform, quantizing the transformed weights, computing transformed coefficients through a graph Fourier transform of a graph having the transformed weights as weights, de-quantizing the quantized transformed weights, computing a reconstructed image through an inverse graph Fourier transform on the basis of the de-quantized transformed weights, computing a distortion cost on the basis of the reconstructed image and the original image, generating a final encoded image on the basis of the distortion cost.

Abstract: Provided is a method of encoding an image, the method including: obtaining a plurality of patches from the image; obtaining a plurality of transform coefficient groups respectively corresponding to the plurality of patches; inputting, to a machine learning model, input values corresponding to transform coefficients included in each of the plurality of transform coefficient groups; quantizing transform coefficients corresponding to the image by using a quantization table output from the machine learning model; and generating a bitstream including data generated as a result of the quantizing and information about the quantization table.

Abstract: A system detects multiple instances of an object in a digital image by receiving a two-dimensional (2D) image that includes a plurality of instances of an object in an environment. For example, the system may receive the 2D image from a camera or other sensing modality of an autonomous vehicle (AV). The system uses a first object detection network to generate a plurality of predicted object instances in the image. The system then receives a data set that comprises depth information corresponding to the plurality of instances of the object in the environment. The data set may be received, for example, from a stereo camera of an AV, and the depth information may be in the form of a disparity map. The system may use the depth information to identify an individual instance from the plurality of predicted object instances in the image.

Abstract: An apparatus and a method for motion estimation of isolated objects are provided. The apparatus includes a dividing circuit, a flag circuit, an analyzing circuit, a calculating circuit and a determination circuit. The dividing circuit divides each of a first image and a second image into a plurality of blocks. The flag circuit adds a flag to each block within the blocks having image information different from background information. The analyzing circuit analyzes continuity of the flag to find a target isolated object having a size less than or equal to a predetermined size. The calculating circuit obtains an initial motion vector of the target isolated object according to locations of the target isolated object in the first image and the second image. The determination circuit determines whether the initial motion vector is correct according to a sum of absolute differences corresponding to the initial motion vector.

Abstract: An electronic device is provided and includes a camera configured to obtain an image, and a location information sensor configured to obtain (or sense) a current location of the electronic device. The electronic device further includes a direction information sensor configured to obtain (or sense) direction information about a direction in which the camera obtains the image and a memory configured to store information about the current location. A processor configured to operatively connect with the location information sensor, the direction information sensor, and the memory, may be further configured to obtain map information corresponding to the current location and arrange and display an orientation of the obtained map information with an orientation corresponding to the direction information. The processor may be configured to output the obtained map information together with a live video obtained by the camera.

Abstract: Methods and systems for use of a reference image to detect a road obstacle are described. A computing device configured to control a vehicle, may be configured to receive, from an image-capture device, an image of a road on which the vehicle is travelling. The computing device may be configured to compare the image to a reference image; and identify a difference between the image and the reference image. Further, the computing device may be configured to determine a level of confidence for identification of the difference. Based on the difference and the level of confidence, the computing device may be configured to modify a control strategy associated with a driving behavior of the vehicle; and control the vehicle based on the modified control strategy.

Abstract: There is disclosed herein a method of encoding an image file, the method comprising inputting dimension, channel, bit depth and color model data of the image file; forward transforming the image file; entropy coding the image file; inverse transforming the image file; and, reconstructing the image file.

Abstract: The invention provides a method for video surveillance in a video-surveillance system comprising the steps of capturing video images by a video camera observing an area of surveillance; wherein the capturing the video images comprises making objects in the area of surveillance irrecognizable or invisible in captured video images; receiving, by a processor, a predetermined signal; based on the received predetermined signal, generating a first control signal by the processor and transmitting the first control signal to the video camera; receiving the first control signal by the video camera; based on the received first control signal, stopping making objects in the area of surveillance irrecognizable or invisible in the captured video images.

Abstract: A subject area detection apparatus which is capable of improving the rate of detection for a subject area in an image and detecting the subject area with ease. A first subject area which is a specific area is detected from a subject image in an image having at least one subject image. An area including at least a part of the first subject area is detected as a second subject area from the subject image in the image. An estimated area is obtained by estimating, in the second subject area, an area corresponding to the first subject area. The first subject area and the estimated area are compared with each other to obtain a correlation determination result. A subject area detection result is output according to the correlation determination result.

Abstract: Provided is a calibration apparatus that performs calibration by using a captured image of a chart including a plurality of plane surfaces forming a predetermined angle ?. An imaging apparatus simultaneously images chart patterns depicted on each of the plane surfaces of the chart. In this instance, the chart pattern depicted on each of the plane surfaces of the chart is inversely projected in accordance with a distance from an imaging plane such that patterns in which feature points are uniformly distributed within the captured image are obtained.

Abstract: In a semiconductor fabrication apparatus composed of a plurality of components, such as fluid control devices, a manager is to be enabled to identify components by intuition. Information on the identified component is to be provided to the manager in an easy-to-understand manner. In a system in which a manager terminal 3 and an information processor 2 are communicably configured via networks NW1 and NW2, the manager terminal 3 receives component information on a semiconductor fabrication apparatus 1 from the information processor 2. Upon the identification of the position of a component constituting the semiconductor fabrication apparatus 1 on the captured image of the semiconductor fabrication apparatus 1 using an identification processing unit 32, a compositing processing unit 33 creates a composite image in which component information is composited with the captured image at the position of the component identified, and an image display unit 34 displays the composite image.

Abstract: The system and method of the present application captures video of a scene in accordance with a plurality of capture characteristics, generates a capture profile for the video, and creates an index of the captured profile to enable a more rapid search of the captured video.