Abstract: An object location estimating method with a timestamp alignment function is applied to an object location estimating device. The object location estimating method includes acquiring a plurality of first frames from a first camera, setting a first predetermined point of time, defining a first previous frame and a first next frame closest to the first predetermined point of time from the plurality of first frames, acquiring a first previous coordinate value of an object within the first previous frame and a first next coordinate value of the object within the first next frame, and utilizing the first previous coordinate value and the first next coordinate value to compute a first estimation coordinate value of the object at the first predetermined point of time.

Abstract: Embodiments herein describe automatically synchronizing the output of source devices connected to a system reference point through an IP network in a media production studio so that the outputs are aligned when they reach the system reference point. In one embodiment, the system reference point device exchanges a plurality of messages and timestamps with a source device. The source device uses the messages and timestamps to determine a transmission delay between the source device and the system reference point device. The source device uses the transmission delay to determine a video transmission correction factor, which the source device applies to modify the time at which it outputs a signal so that the signal is aligned with signals output by other source devices when the signal arrives at the system reference point device through the IP network.

Abstract: A video surveillance system with real-time object re-identification capabilities, which employs an object re-identification algorithm and an edge computing architecture. An operator monitors video images from the multiple cameras, and when a target object is observed, a target image containing the object is transmitted to all video cameras for object re-identification. Each video camera has dedicated processing circuitry that performs an object re-identification algorithm to identify the target in video images captured by that camera in real time. The algorithm calculates a frequency domain similarity measure between the target image and test images captured by the camera. The similarity measure in the frequency domain is calculated as a dot product of the 1D discrete Fourier transforms of the target image data and of the test image data. The multiple cameras also transmit object re-identification results to each other to achieve more efficient and intelligent object re-identification.

Abstract: Systems, devices and methods are provided for video encoding. For example, video data is encoded based at least in part on a preset encoding algorithm to obtain a video encoding stream that comprises a plurality of coding frames. A stream tag is added for the video encoding stream, and a frame tag is added for each coding frame in the video encoding stream. The stream tag includes information characterizing whether the stream tag is added into the video encoding stream. The frame tag includes type information of the coding frame.

Abstract: A machine learning based initial quantization parameter (QP) prediction method, which can effectively optimize RC performance A machine learning framework for initial QP prediction is proposed, where learning labels are built with the criterion of maximizing rate-distortion (RC) performance, which is proved to be much more effective than the QP determination method with the only consideration on sum of the absolute transformed difference (SATD) complexity. Instead of target bits per pixel for intra frame, target bits per pixel for remaining frames is used as sample data to avoid empirically setting intra frame bit allocation, thus improve the prediction accuracy as the real-time updated remaining bits can better reflect the real-time requirements on the level of QPs. In addition, a clipping and decision approach based on the previous initial QP and the target bits per pixel for all remaining frames is proposed, which can help fast QP adaption and quality smoothness.

Abstract: Images may be obtained using a moving camera comprised of two or more rigidly mounted image sensors. Camera motion may change camera orientation when different portions of an image are captured. Pixel acquisition time may be determined based on image exposure duration and position of the pixel in the image array (pixel row index). Orientation of the sensor may at the pixel acquisition time instance may be determined. Image transformation may be performed wherein a given portion of the image may be associated with a respective transformation characterized by the corrected sensor orientation. In some implementations of panoramic image acquisition, multiple source images may be transformed to, e.g., equirectangular plane, using sensor orientation that is corrected for the time of pixel acquisition. Use of orientation correction may improve quality of stitching by, e.g., reducing contrast of border areas between portions of the transformed image obtained by different image sensors.

Abstract: Methods and systems for collecting camera calibration data using wearable devices are described. An augmented reality interface may be provided at a wearable device. Three-dimensional virtual information may be presented at the augmented reality interface. The three-dimensional information may identify a field of view of a remote camera and may be associated with collection of calibration data for the remote camera. Calibration data collected by the remote camera viewing a calibration target in the field of view may be received. The camera may be calibrated based at least in part on the calibration data.

Abstract: A method and system of providing decision support to first responders. One method includes identifying, with an electronic processor, a first plurality of characteristics of a first responder. The method further includes generating, with the electronic processor, a first score for the first responder based on the first plurality of characteristics. The method further includes identifying with the electronic processor, a suspect at an incident area. The method further includes identifying, with the electronic processor, a second plurality of characteristics of the suspect. The method further includes generating, with the electronic processor, a second score for the suspect based on the second plurality of characteristics. The method further includes comparing, with the electronic processor, the first score and the second score. The method further includes outputting, with an output device electrically connected to the electronic processor, a recommended action.

Abstract: A video coding or decoding method in which luminance and chrominance samples are predicted from other respective reference samples according to a prediction direction associated with a current sample to be predicted, the chrominance samples having a lower horizontal and/or vertical sampling rate than the luminance samples so that the ratio of luminance horizontal resolution to chrominance horizontal resolution is different than the ratio of luminance vertical resolution to chrominance vertical resolution, so that a block of luminance samples has a different aspect ratio to a corresponding block of chrominance samples, the method including: detecting a first prediction direction defined in relation to a first grid of a first aspect ratio in respect of a set of current samples to be predicted; and applying a direction mapping to the prediction direction to generate a second prediction direction defined in relation to a second grid of a different aspect ratio.

Abstract: An image processing method includes: combining a padding region with a picture, wherein any padding pixel included in the padding region is assigned with a predetermined pixel value; and encoding the picture having the padding region combined therewith. For example, the padding region is directly below a bottom edge of the picture. For another example, all of padding pixels included in the padding region have the same pixel value.

Abstract: An apparatus and a method capable of accurately recognizing that a person will appear on a road and certainly notifying the person that an autonomous moving body has recognized a place where the person will appear are disclosed. An apparatus according to an embodiment of the present disclosure detects, as a recognition target, a person appearance area, in which a person will appear, formed by a recognition target presentation apparatus on a road and presents, to the person, a result of recognition indicating that the autonomous moving body has recognized the person appearance area as a result of the detection of the recognition target.

Abstract: A driving unit includes a tubular fixed part with a given axis as center, a movable part located inside the fixed part and having the axis as center, a front frame part attached to the fixed part and including at least a magnetic material, and a voice coil motor capable of moving the movable part relatively with respect to the fixed part in the axial direction by a coil wound around an outer circumference of the fixed part and a magnet located in the movable part, wherein the magnet of the movable part is biased by the magnetic material, and an axial width of the coil is longer than an axial width of the magnet.

Abstract: An image generating device configured to provide a cloud service to a head-mounted display via a network is provided. A photographed image receiving section 510 receives a plurality of photographed images photographed in different photographing directions. A panoramic image processing section 530 generates a panoramic image by synthesizing the plurality of photographed images photographed in the different photographing directions. A format converting section 540 converts the panoramic image into an image format suitable for specifications of the head-mounted display. A panoramic image transmitting section 550 transmits the panoramic image after format conversion to the head-mounted display.

Abstract: A prediction block is determined for a current block of a current frame of a video stream using a template having pixel locations that conform to a subset of the pixel locations of the current block. A first portion of the prediction block having the same pattern of pixel locations as the template is populated by inter-predicted pixel values, and the remaining portion of the prediction block is populated by intra-predicted pixel values. The intra-predicted pixel values may be determined using inter-predicted pixel values of the first portion, pixel values of pixels adjacent to the current block, or both.

Abstract: A method is providing for encoding at least one image cut into blocks. The method implements, for a current block to be encoded, acts of: predicting the current block in accordance with a prediction mode selected among predetermined prediction modes; obtaining a predictor block; determining a residual data set, representative of the difference between the predictor block obtained and the current block, the residual data being likely to have an amplitude and a sign; selecting, from the residual data set, a piece of residual data assigned an amplitude and a sign, using a predetermined criterion which is a function of the selected prediction mode; obtaining a predicted value of the sign of the selected piece of residual data; calculating information representing the difference between the predicted value of the sign and the value of the sign of the selected piece of residual data; and encoding the calculated information.

Abstract: Methods and systems for detecting defects on a specimen are provided. One system includes one or more computer subsystems configured for acquiring images generated by an imaging subsystem at multiple instances of a pattern of interest (POI) within a die formed on the specimen. The multiple instances include two or more instances that are located at aperiodic locations within the die. The computer subsystem(s) are also configured for generating a POI reference image from two or more of the images generated at the multiple instances of the POI within the die. The computer subsystem(s) are further configured for comparing the images generated at the multiple instances of the POI within the die to the POI reference image and detecting defects in the multiple instances of the POI based on results of the comparing.

Abstract: A video monitoring system captures image frames of a patient in various positions. The captured image frames are analyzed by the system for changes in a patient's position or movement, frames in which the system detects one or both of patient movement and repositioning are retained. The system analyzes an area of interest within each image frame that corresponds to an area in the camera's view field with the patient. Sequential image frames are compared for motion, only frames without motion, where the patient is still, are analyzed.

Abstract: An image encoding method that encodes an image so as to optimize estimated values of processing units which are a coding unit, a prediction unit, and a transform unit by selecting sizes of the individual processing units. The method includes a division step that divides an image having a size of the coding unit into a plurality of blocks; an activity computation step that computes activities pertaining to the individual blocks; and a transform unit size determination step that determines, based on the computed activities, a size pattern of the transform unit within the image having the size of the coding unit.

Abstract: An example method of entropy coding video data includes obtaining a pre-defined initialization value for a context of a plurality of contexts used in a context-adaptive entropy coding process to entropy code a value for a syntax element in a slice of the video data, wherein the pre-defined initialization value is stored with N-bit precision; determining, using a look-up table and based on the pre-defined initialization value, an initial probability state of the context for the slice of the video data, wherein a number of possible probability states for the context is greater than two raised to the power of N; and entropy coding, based on the initial probability state of the context, a bin of the value for the syntax element.

Abstract: To enable future video transmission of a large range of HDR videos, and render them on displays of variable dynamic range or peak brightness capability, we describe an encoder (301) for encoding an input high dynamic range video set of images (Im_5000), having pixel colors with luminances lower than a first maximum luminance (L_max_M), into an encoded high dynamic range video (Im_2000), being a high dynamic range image, i.e.