Abstract: A visual inspection device and a method for setting illumination condition thereof are provided to include an illumination part irradiating illumination lights to an inspection object; an imaging part capturing an image of the inspection object; a defect detecting part analyzing the image of the inspection object captured by the imaging part and detecting a defect of the inspection object; an illumination condition setting part setting an illumination condition of the illumination lights irradiated to the inspection object; and an optimum illumination condition deriving part deriving an optimum illumination condition by scoring each of the illumination conditions based on the images captured under plural and different illumination conditions, where the optimum illumination condition is the most suitable illumination condition for detecting the defect of the inspection object by the defect detecting part.

Abstract: A method for decoding a signal of encoded digital data, which includes, for at least one part of the signal: determining information representing a characteristic of the encoded data contained in the at least one signal part; determining first and second values of at least one datum required for the decoding of the data; decoding the data based on the first value to obtain a first characteristic of the decoded data; decoding the data based on the second value to obtain a second characteristic of the decoded data; selecting the first or the second value according to the information representing a characteristic of the encoded data and according to the first and second characteristics of the decoded data; and reconstructing the data based on the first or the second value, which has been selected.

Abstract: Systems and methods of enhancing images use a contrast limited adaptive histogram equalization (CLAHE) algorithm in a field programmable gate array (FPGA). The images may be obtained by the imaging elements of a multiple imaging elements endoscope of an endoscopy system.

Abstract: Techniques are provided for sending and receiving digital video in high-quality compressed form over a network. Such techniques may include (a) performing chroma subsampling on an original video stream to yield an altered video stream; (b) applying video compression to the altered video stream to yield a compressed base layer (BL) stream; (c) creating an enhancement layer (EL) stream based on differences between the original video stream and a decompressed version of the BL stream, the EL stream including additional chroma information, which, when combined with the BL stream, encodes a video stream that has higher chroma fidelity to that of the original video stream than does the BL stream alone; and (d) sending both streams to a receiver device across the network to enable the receiver device to generate a version of the original video stream by combining the BL stream with the EL stream's additional chroma information.

Abstract: Embodiments described herein provide a solution for providing a holographic projection. A plurality of holographic projecting mobile devices that are within a physical area are identified. A set of holographic object paths that can be projected using the identified holographic projecting mobile devices is determined. A holographic object path is selected from this set of holographic object paths. A holographic object is projected moving according to the holographic object path by the plurality of holographic projecting mobile devices.

Abstract: The disclosure is related to a surveillance system and an operation method thereof. The surveillance system includes an auxiliary sensor module that is in full-time operation, and a main sensor module that is in a power-saving mode at a normal state. The main sensor is in operation only if the signals generated by the auxiliary sensor module meet a criterion of surveillance. The surveillance system can reduce power consumption since the more powerful main sensor module stays in the power-saving mode without actuation. The surveillance system can process the surveillance data generated by the auxiliary sensor module since it adopts the steps of ROI detection, feature extraction, and object recognition in an early stage of a whole surveillance process.

Abstract: A method for automatic registration of 3D image data, captured by a 3D image capture system having an RGB camera and a depth camera, includes capturing 2D image data with the RGB camera at a first pose; capturing depth data with the depth camera at the first pose; performing an initial registration of the RGB camera to the depth camera; capturing 2D image data with the RGB camera at a second pose; capturing depth data at the second pose; and calculating an updated registration of the RGB camera to the depth camera.

Abstract: Computer processor hardware receives zone information specifying multiple elements of a rendition of a signal belonging to a zone. The computer processor hardware also receives motion information associated with the zone. The motion information can be encoded to indicate to which corresponding element in a reference signal each of the multiple elements in the zone pertains. For each respective element in the zone as specified by the zone information, the computer processor hardware utilizes the motion information to derive a corresponding location value in the reference signal; the corresponding location value indicates a location in the reference signal to which the respective element pertains.

Abstract: A display device includes a frame; and a transparent display module in the frame, the transparent display module including a horizontal cross-section including a closed curve and configured to emit light from opposite surfaces thereof.

Abstract: A method, electronic device, computer program product, system and circuit assembly are provided for allocating one or more redundant pictures by taking into consideration the information content of the primary pictures, with which the redundant pictures would be associated. In particular, primary pictures that are determined to be more sensitive to transmission loss or corruption may be allocated one or more redundant pictures, while those that are less sensitive may not be so allocated. By selectively allocating redundant pictures to only those primary pictures that are more sensitive, the method disclosed reduces the amount of overhead associated with redundant pictures and increases the coding efficiency, without sacrificing the integrity of the video data.

Abstract: The present invention provides a MMT transport packet structure and a method and an apparatus configuring the structure. A method of configuring an MPEG Media Transport (MMT) transport packet for transmitting an MMT payload format, the method comprising: configuring the MMT transport packet so that the MMT transport packet includes at least one MMT payload format unit and a sequence number field for a packet stream, wherein the sequence number field maintains consistency with a sequence number field included in the MMT payload format.

Abstract: Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. For example, processing circuitry decodes prediction information for a block in a current picture from a coded video bitstream. The prediction information is indicative of an inter prediction mode that signals an offset associated with one of base motion vector predictor candidates in a candidate list. The processing circuitry constructs the candidate list with one or more existing base motion vector predictor candidates and adds a new motion vector predictor into the candidate list when the new motion vector predictor satisfies a spacing requirement to the one or more existing base motion vector predictor candidates. The processing circuitry decodes an index of a specific base motion vector predictor candidate in the candidate list and the offset to determine a final motion vector, and reconstructs samples of the block according to the final motion vector.

Abstract: Techniques are provided for calculating temporally coherent disparity values for pixels in a sequence of image frames. An example method may include calculating initial spatial disparity costs between a pixel of a first image frame from a reference camera and pixels from an image frame from a secondary camera. The method may also include estimating a motion vector for the pixel of the first reference camera image frame to a corresponding pixel from a second reference camera image frame. The method may further include calculating a confidence value for the estimated motion vector based on a measure of similarity between the colors of the pixels of the first and second image frames from the reference camera. The method may further include calculating temporally coherent disparity costs based on the initial spatial disparity costs weighted by the confidence value and selecting a disparity value based on those costs.

Abstract: Methods and apparatus for making environmental measurements are described. In some embodiments different devices are used to capture environmental information at different times, rates and/or resolutions. Environmental information, e.g., depth information, from multiples sources captured using a variety of devices is processed and combined. Some environmental information is captured during an event. Such information is combined, in some embodiments, with environmental information that was captured prior to the event. Environmental depth model is generated in some embodiments by combining, e.g., reconciling, depth information from at least two different sources including: i) depth information obtained from a static map, ii) depth information obtained from images captured by light field cameras, and iii) depth information obtained from images captured by stereoscopic camera pairs.

Abstract: A mesh network-based environmental data capture system and method for providing communication between a base system having at least one wireless input capture device ICD(s) and other ICD(s), wherein the ICD(s) are capable of smart cross-communication with each other and remote access to their inputs via a server computer, including the steps of providing this base system; at least one user accessing the ICDs and inputs remotely via a user interface through a remote server computer and/or electronic device communicating with it, for providing a secure surveillance system with extended inputs range and wireless smart cross-communication for monitoring a target environment.

Abstract: Techniques and tools for sub-block transform coding are described. For example, a video encoder adaptively switches between 8×8, 8×4, and 4×8 DCTs when encoding 8×8 prediction residual blocks; a corresponding video decoder switches between 8×8, 8×4, and 4×8 inverse DCTs during decoding. The video encoder may determine the transform sizes as well as switching levels (e.g., frame, macroblock, or block) in a closed loop evaluation of the different transform sizes and switching levels. The encoder and decoder may use different scan patterns for different transform sizes when scanning values from two-dimensional blocks into one-dimensional arrays, or vice versa. The encoder and decoder may use sub-block pattern codes to indicate the presence or absence of information for the sub-blocks of particular blocks.

Abstract: A non-transitory computer-readable recording medium stores therein an information processing program that causes a computer to execute a process including: acquiring images photographed with a first angle of view and a second angle of view wider than the first angle of view; specifying a position and an attitude of a camera that photographed the image photographed with the first angle of view based on the image photographed with the second angle of view; stitching a plurality of images photographed with the first angle of view to generate a panoramic image; correcting the position on the generated panoramic image, of the image photographed with the first angle of view based on the specified position and attitude of the camera; and mapping the panoramic image to a three-dimensional model by texture mapping based on the corrected position.

Abstract: A system-on-chip is provided which is configured for real-time depth estimation of video data. The system-on-chip includes a monoscopic depth estimator configured to perform monoscopic depth estimation from monoscopic-type video data, and a stereoscopic depth estimator configured to perform stereoscopic depth estimation from stereoscopic-type video data. The system-on-chip is reconfigurable to perform either the monoscopic depth estimation or the stereoscopic depth estimation on the basis of configuration data defining a selected depth estimation mode. Both depth estimators include shared circuits which are instantiated in hardware and reconfigurable to account for differences in the functionality of the circuit in each depth estimator.

Abstract: Techniques related to coding video using adaptive in-loop filtering enablement are discussed. Such techniques may include determining whether or not to perform in-loop filtering based on evaluating a maximum coding bit limit of a picture of the video, a quantization parameter of the picture, and a coding structure of the video.

Abstract: An index, indicating a vector representing a spatial relationship between a block to be encoded and at least one block spatially at the periphery of the block to be encoded, is encoded in a case where an coding mode to encode the block to be encoded is a first coding mode, and an index, indicating a vector representing a spatial relationship between the block to be encoded and at least one block spatially at the periphery of the block to be encoded, and a vector correlated with a block within an image that is different from the image to be encoded, is encoded in a case where the coding mode to encode the block to be encoded is a second coding mode.