Abstract: Methods and apparatuses for coding and decoding a depth map are provided. The coding method includes: obtaining prediction data corresponding to a current image block of the depth map, obtaining a predicted pixel value from the prediction data according to a preset step, and calculating a first average value of the prediction data according to the predicted pixel value, where the preset step is a positive integer except 1; obtaining a residual of the current image block according to the first average value of the prediction data and a pixel value of a pixel of the current image block; and coding the residual of the current image block. In this way, coding and decoding efficiency can be improved.

Abstract: This disclosure describes filtering techniques applied by an encoder and a decoder during the prediction stage of a video encoding and/or decoding process. The filtering techniques may enhance the accuracy of predictive data used during fractional interpolation, and may improve predictive data of integer blocks of pixels. There are several aspects to this disclosure, including a useful twelve-pixel filter support that may be used for interpolation, techniques that use coefficient symmetry and pixel symmetry to reduce the amount of data needed to be sent between an encoder and a decoder to configure the filter support for interpolation, and techniques for filtering data at integer pixel locations in a manner that is similar to sub-pixel interpolation. Other aspects of this disclosure concern techniques for encoding information in the bitstream to convey the type of filter used, and possibly the filter coefficients used. Predictive coding of filter coefficients is also described.

Abstract: An image processing apparatus which compares a first frame rate of a first moving image and a second frame rate of a second moving image each moving image having temporal scalability, converts a temporal hierarchical structure of the second moving image, when the first frame rate is higher than the second frame rate, by copying and inserting a picture included in a first temporal layer of the second moving image into a second temporal layer of the second moving image, and when the first frame rate is lower than the second frame rate, by discarding a picture, of pictures belonging to temporal layers of the second moving image, which belongs to a temporal layer with a frame rate higher than the first frame rate, and combines the first moving image with the converted second moving image.

Abstract: A moving image encoding apparatus comprising, an encoding unit, a decoding unit, a filter unit and an offset processing unit wherein the encoding unit performs predictive encoding based on a decoded image having undergone an offset processing and the offset processing unit selects and executes a first offset processing for a low-frequency component image when an image of the block has a feature associated with the low-frequency component image in accordance with a feature of an image of a processing target block, and selects and executes a second offset processing for a high-frequency component image when an image of the block does not have a feature associated with the low-frequency component image.

Abstract: An image processing method, includes: an input step in which a computer acquires data of a plurality of input images acquired by imaging performed using a same image sensor; and an optimization process step in which a computer determines an optimal solution of brightness change with respect to each input image by performing iterative calculations using an iterative method to improve overall image quality of the plurality of input images. In the optimization process step, an optimal solution of brightness change for each pixel of each input image is determined under a condition that common brightness change is performed with respect to pixels at a same position in respective input images.

Abstract: A head mount display and method for outputting an output of the same are discussed. The method includes outputting a first task from the head mount display, the first task including at least one of a first video output and a first audio output; recognizing a portable device, which outputs a second task including at least one of a second video output and a second audio output; determining whether the first and second video outputs are swapping targets, if the portable device is recognized; swapping the first video output with the second video output if the first and second video outputs are determined to be swapping targets; determining whether the first and second audio outputs are swapping targets, if the portable device is recognized; and swapping the first audio output with the second audio output if the first and second audio outputs are determined to be swapping targets.

Abstract: A method and system of AL-FEC using MMT protocol performed are disclosed. For an MMT receiving entity, a bounded FEC configuration setting is received from an MMT sending entity. The bounded FEC configuration setting belongs to an FEC configuration group consisting of at least one FEC configuration setting having a bounded-number of stages or layers of FEC coding structure, where the bounded-number is a positive integer greater than 1. If the bounded FEC configuration setting corresponds to one FEC configuration setting having the bounded-number of stages or layers of FEC coding structure, one or more FEC source packets and FEC repair packets are received from the MMT sending entity are FEC decoded into one recovered MMT packet using a range of FEC schemes having a target number of stages or layers of FEC coding structure from 1 to the bounded-number. The process for an MMT sending entity is also disclosed.

Abstract: The invention relates to an optical zooming system for use on fusion splicers. The system may include a lens, camera, and a zooming mechanism, which allows the camera and the lens to move relative to each other. The zooming mechanism may be set to a “zoom out” configuration for aligning the cores of fibers. The zooming mechanism may also be set to a “zoom in” configuration for adjusting fibers with a large diameter.

Abstract: A system that suggests candidate installation states corresponding to each of a plurality of imaging devices based on a relationship between current installation states of each of the plurality of imaging devices; and outputs a suggested candidate installation state corresponding to at least one of the plurality of imaging devices based on the current installation state of each of the plurality of imaging devices and the determined candidate installation states.

Abstract: Techniques related to applying computer vision to decompressed video are discussed. Such techniques may include generating a region of interest in an individual video frame by translating spatial indicators of a first detected computer vision result from a reference video frame to the individual video frame and applying a greater threshold within the region of interest than outside of the region of interest for computer vision evaluation in the individual frame.

Abstract: A self-contained interactive surveillance device is described. The device includes multiple cameras placed about the device to cover a full-view area. The device includes environmental monitoring and control elements that are able to maintain a specified operating environment within an enclosure of the device. The device includes wireless communication capabilities that allow the device to interact with external devices over one or more wireless pathways. The device includes a user interface console that allows two-way audio video communication via the device.

Abstract: An image encoding method, decoding method and corresponding device, and intraframe pixel prediction method are disclosed. The image encoding method comprises: pixel segmentation, segmenting pixels in an image frame; pixel value prediction, respectively performing a pixel value prediction process to obtain a first prediction value for each of pixels in a current block to be encoded; a step of residual calculation, calculating a residual for each of the pixels in the current block to be encoded; a step of discrete cosine transform, quantization and entropy encoding, performing discrete cosine transform, quantization and entropy encoding with respect to a residual block corresponding to the current block to be encoded obtained in the residual calculation step, and the entropy encoded residual block is sent to a decoding end; and a pixel value reconstruction step, reconstructing a pixel value of the previously-encoded pixel.

Abstract: Disclosed is a method for predicting depth map coding distortion of a two-dimensional free viewpoint video, including: inputting sequences of texture maps and depth maps of two or more viewpoint stereoscopic videos; synthesizing a texture map of a first intermediate viewpoint of a current to-be-coded viewpoint and a first adjacent viewpoint, and synthesizing a texture map of a second intermediate viewpoint of the current to-be-coded viewpoint and a second adjacent viewpoint by using a view synthesis algorithm; recording a synthetic characteristic of each pixel according to the texture map and generating a distortion prediction weight; and calculating to obtain total distortion according to the synthetic characteristic and the distortion prediction weight.

Abstract: A detection apparatus includes a camera, a recognizer, and a first detector. The camera is configured to acquire image data around a vehicle. The recognizer is configured to recognize an area indicating a light of a traffic signal from the image data. The first detector is configured to detect that the vehicle runs through the light when a size of the area indicating the light is larger than a first threshold, a distance between the area indicating the light and an end of the image data is shorter than a second threshold, and velocity data of the vehicle is higher than a third threshold.

Abstract: Techniques of augmented reality device calibration are disclosed. In some example embodiments, a system calibrates a visual inertial navigation (VIN) camera of a head mounted display (HMD) device with at least one eye camera of the HMD device to generate multi-camera calibration parameters, calibrating the at eye camera(s) with a display module of the HMD to generate display calibration parameters, calibrating the IMU with the VIN camera to generate VIN calibration parameters, and calibrating the IMU to the display module using the multi-camera calibration parameters, the display calibration parameters, and the VIN calibration parameters.

Abstract: A display includes a display panel, a board mounting portion, and a circuit board arranged at one surface of the board mounting portion. The display panel also includes a cover portion positioned only at a portion of the one surface of the board mounting portion. The portion includes a region in which the circuit board is arranged. The cover portion includes a bottom surface portion and a first side surface portion that extends from the bottom surface portion toward the one surface of the board mounting portion. The first side surface portion includes a first opening portion.

Abstract: An idea used herein is to use the same function for the dependency of the context and the dependency of the symbolization parameter on previously coded/decoded transform coefficients. Using the same function—with varying function parameter—may even be used with respect to different transform block sizes and/or frequency portions of the transform blocks in case of the transform coefficients being spatially arranged in transform blocks. A further variant of this idea is to use the same function for the dependency of a symbolization parameter on previously coded/decoded transform coefficients for different sizes of the current transform coefficient's transform block, different information component types of the current transform coefficient's transform block and/or different frequency portions the current transform coefficient is located within the transform block.

Abstract: A method of decoding a coding unit from a video bitstream determines reconstructed samples for a first coding unit, from the video bitstream, and decodes a dictionary store flag from the video bitstream for the first coding unit. Where the dictionary store flag indicates that reconstructed samples for the first coding unit be stored, the method (i) stores the reconstructed samples for the first coding unit into a memory buffer; (ii) determines reconstructed samples for a second coding unit, the reconstructed samples for the second coding unit being copied from reconstructed samples for the first coding unit from the memory buffer, and (iii) outputs the reconstructed samples for the second coding unit. Also disclosed is a complementary method for encoding, a decoder and an encoder.

Abstract: To provide an image encoding device that can record desired hours of encoded data in a recording medium having a predetermined storage capacity, in a VBR encoding system. An image encoding device includes an image encoding unit that encodes a plurality of sequentially input images to generate a plurality of encoded data that configures video data, an average image complexity calculation unit that calculates average image complexity of complexity of the input images in a fluctuation cycle, based on the plurality of encoded data, and a code amount control unit that controls a code amount of the encoded data generated in the image encoding unit based on the average image complexity.

Abstract: Systems for monitoring an inventory condition of objects based on captured images are described. An exemplary system includes at least one storage drawer, each storage drawer including a plurality of storage locations for storing objects; and an image sensing device configured to capture an image of one of the storage locations. A radio-frequency identification (RFID) sensor sub-system senses attributes of objects located in the inventory control system. A data storage system stores, for each storage location, reference data including identification of the object associated with each storage location. A data processor determines the inventory condition of each storage location of the captured image based on the image data of the captured image in conjunction with the sensing data of attributes of objects located in the inventory control system.