Abstract: A system and method of inspecting a chicken piece comprising generating an image for the chicken piece, identifying a defect type, a defect location and an area of each defect on the chicken piece based on the image, and grading the chicken piece into one of a plurality of grades based on the defect type and the area.

Abstract: A method of calibrating an infrared (IR) camera including a pixel array housed in a housing, the pixel array having an image sensor and one or more parasitic heat sensing pixels arranged to receive infrared light from different portions of an interior surface of the housing, the method including: receiving, by a processing device, one or more readings from each of the parasitic heat sensing pixels and from each pixel of the pixel array; and generating, by the processing device based on the one or more readings, one or more conversion matrices for converting readings from the parasitic heat sensing pixels into pixel correction values for performing 2D signal correction of the image.

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: A gimbal device for supporting an external photographing device includes a depth camera, a control unit and an actuator. The depth camera is configured to obtain spatial coordinates of a subject being photographed. The control unit is configured to determine a direction adjustment value of the gimbal device according to the spatial coordinates. The actuator is configured to receive the direction adjustment value and to adjust spatial orientation of the gimbal device according to the direction adjustment value, so that the external photographing device is able to track the subject being photographed. The control unit is further configured to obtain initial three-axis data of the gimbal device and three-axis data after the gimbal device is set to determine an angle difference between the initial three-axis data and the set three-axis data, and the actuator is further configured to receive the angle difference.

Abstract: Provided an inspection method for a rotating electric machine, including: a first step of acquiring a first image by imaging a pattern formed on an outer peripheral surface of a retaining ring over an entire circumference of the retaining ring with use of an image pickup element mounted to a non-rotating portion of the rotating electric machine under a state in which the retaining ring is rotated; a second step of acquiring a second image by imaging the pattern over the entire circumference of the retaining ring with use of the image pickup element under the state in which the retaining ring is rotated, the second step being executed after the first step with an operation of the rotating electric machine interposed; and a third step of acquiring a distortion distribution of the retaining ring based on the first image and the second image.

Abstract: The present invention discloses a multispectral stereo camera self-calibration algorithm based on track feature registration, and belongs to the field of image processing and computer vision. Optimal matching points are obtained by extracting and matching motion tracks of objects, and external parameters are corrected accordingly. Compared with an ordinary method, the present invention uses the tracks of moving objects as the features required for self-calibration. The advantage of using the tracks is good cross-modal robustness. In addition, direct matching of the tracks also saves the steps of extraction and matching the feature points, thereby achieving the advantages of simple operation and accurate results.

Abstract: The precision of up-sampling operations in a layered coding system is preserved when operating on video data with high bit-depth. In response to bit-depth requirements of the video coding or decoding system, scaling and rounding parameters are determined for a separable up-scaling filter. Input data are first filtered across a first spatial direction using a first rounding parameter to generate first up-sampled data. First intermediate data are generated by scaling the first up-sampled data using a first shift parameter. The intermediate data are then filtered across a second spatial direction using a second rounding parameter to generate second up-sampled data. Second intermediate data are generated by scaling the second up-sampled data using a second shift parameter. Final up-sampled data may be generated by clipping the second intermediate data.

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: Systems and methods for location identification and tracking of a person, object and/or vehicle. The methods involve: obtaining, by a computing system, a video of a surrounding environment which was captured by a portable camera coupled to the person, object or vehicle; comparing, by the computing system, first images of the video to pre-stored second images to identify geographic locations where the first images were captured by the portable camera; analyzing, by the computing system, the identified geographic locations to verify that the person, object or vehicle is (1) traveling along a correct path, (2) traveling towards a facility for which the person, object or vehicle has authorization to enter, or (3) traveling towards a zone or secured area internal or external to the facility for which the person, object or vehicle has authorization to enter; and transmitting a notification from the computing system indicating the results of the analyzing.

Abstract: A method for adaptive MV precision is disclosed. According to one embodiment, whether to use or not to use the adaptive MV precision for a current block is determined according to a prediction mode/partition type of the current block. If the adaptive MV precision is used, a current MV precision is determined for a current MV of the current block, and the current MV is encoded or decoded at the current MV precision. If the adaptive MV precision is not used, the current MV is encoded or decoded at a finer MV precision. In another embodiment, a value of a current adaptive MV precision flag is selected for a current block to indicate whether to use or not to use the adaptive MV precision for a current block according to a prediction mode/partition type of the current block.

Abstract: An encoding acceleration method of cloud VR (virtual reality) video, the method comprising: constructing a reference frame candidate for encoding of a current frame; selecting a specific reference frame among the reference frame candidate based on a sensor data of IMU (Inertial Measurement Unit); selecting a prediction mode for encoding the current frame based on information included in the specific reference frame; and encoding the current frame based on the selected prediction mode.

Abstract: A method and apparatus of Inter prediction for video coding using UMVE (Ultimate Motion Vector Expression) are disclosed. According to this method, a base candidate is selected from an original Inter candidate list, where the base candidate has a base prediction direction. One or more extended candidates are derived by adding one or more offsets to the base candidate, where said one or more extended candidates have a same prediction direction as the base prediction direction. The extended candidates are then inserted into the original Inter candidate list to form an extended Inter candidate list for encoding or decoding. According to another method, the UMVE mode is treated as an additional AMVP (Advanced Motion Vector Prediction) mode.

Abstract: Disclosed is a defect inspection device for determining anomaly of an inspection object. The defect inspection device may include: a lighting system which includes a light source for transmitting light onto the inspection object; and a dynamic diffuser located between the light source and the inspection object and capable of controlling a diffusivity of light transmitted onto the inspection object; and one or more processors for controlling the dynamic diffuser based on characteristics of the inspection object.

Abstract: A safe optoelectronic sensor is provided for securing a monitored zone comprising at least one machine, wherein the sensor has at least one light receiver for generating a received signal from received light from the monitored zone and a control and evaluation unit that is configured to determine distances from objects in the monitored zone from the received signal, and to treat gaps, i.e. safety relevant part regions of the monitored zone in which no reliable distance can be determined, as an object at a predefined distance. The predefined distance here corresponds to a height for securing against reach over.

Abstract: The present disclosure relates to an information processing apparatus and an information processing method that enable processing to be performed simply, and a program. By converting a point cloud representing a three-dimensional structure into two dimensions, a geometry image and a texture image, and three-dimensional information metadata required for constructing the geometry image and the texture image in three dimensions are obtained. Then, one PC sample included in a Point Cloud displayed at a specific time is generated by storing the geometry image, the texture image, and the three-dimensional information metadata in accordance with a playback order required at a time of reproducing and playing back the geometry image and the texture image in three dimensions on the basis of the three-dimensional information metadata. It is possible to apply to a data generation device that generates data for distribution of a Point Cloud.

Abstract: In various embodiments, a perceptual quality application computes an absolute quality score for encoded video content. In operation, the perceptual quality application selects a model based on the spatial resolution of the video content from which the encoded video content is derived. The model associates a set of objective values for a set of objective quality metrics with an absolute quality score. The perceptual quality application determines a set of target objective values for the objective quality metrics based on the encoded video content. Subsequently, the perceptual quality application computes the absolute quality score for the encoded video content based on the selected model and the set of target objective values. Because the absolute quality score is independent of the quality of the video content, the absolute quality score accurately reflects the perceived quality of a wide range of encoded video content when decoded and viewed.

Abstract: A thermal image positioning method for determining a heat source location of the thermal image is disclosed. The thermal image positioning method includes obtaining a temperature array corresponding to the thermal image and determining a region of interest (ROI) of the temperature array. The thermal image positioning method further includes determining an ROI center reference point of the ROI, determining a plurality of corner points corresponding to the ROI, and determining the heat source location according to at least one of the plurality of corner points. A thermal image positioning system is also disclosed herein.

Abstract: An exemplary video processing method includes: receiving an omnidirectional content corresponding to a sphere; obtaining a plurality of projection faces from the omnidirectional content of the sphere according to a pyramid projection; creating at least one padding region; and generating a projection-based frame by packing the projection faces and the at least one padding region in a pyramid projection layout. The projection faces packed in the pyramid projection layout include a first projection face. The at least one padding region packed in the pyramid projection layout includes a first padding region. The first padding region connects with at least the first projection face, and forms at least a portion of one boundary of the pyramid projection layout.

Abstract: A system, method, and apparatus for implementing workflows across multiple differing systems and devices is provided herein. During operation, a security level at an entry point will be increased temporarily when a camera moves its field of view away from the entry point. The security level will return to its original state when the camera moves its field of view back to the entry point.

Abstract: Methods and systems provided. A system may include at least one camera at a camera location, wherein the at least one camera is configured to record one or more videos and one or more images. The system may further include a server. The server may be configure to download at least one image of the one or more images captured at the camera location. The server may also be configured to display the one or more downloaded images. Further, the server may also be configured to, in response to a user selecting a displayed image of the one or more displayed images, download a specific portion of the previously recorded one or more videos captured at the camera location.