Abstract: A gain in multi-view coding is achieved as follows: the residual signal involved with coding a dependent view of the multi-view signal is predicted from a reference residual signal of the current picture of the reference view using block-granular disparity-compensated prediction, i.e. using disparity compensated prediction with a disparity defined at, and varying with, block granularity so that each block of the current picture of the dependent view has its own disparity displacement such as its own disparity vector, associated therewith. In other words, a remaining similarity between the residual signal involved with predictively coding the reference view is used in order to predict the residual signal involved with predictively coding the dependent view.

Abstract: Disclosed is a method of processing an object in an image and a system for the same. According to an embodiment of the present disclosure, there is provided a method of processing an object in an image, the method including: detecting a first object from a first image obtained by a first network camera; detecting a second object from a second image obtained by a second network camera; checking similarity between the first and second objects in consideration of feature information of the first and second objects, installation location information of the first and second network cameras, and location information of a terminal device; and determining whether the first object is equal to the second object on the basis of the similarity between the first and second objects.

Abstract: A method for decoding a video bitstream is disclosed. The method comprises: entropy decoding a first portion of a video bitstream, wherein first portion of video bitstream is associated with a video frame, thereby producing a first portion of decoded data; entropy decoding a second portion of video bitstream, wherein second portion of video bitstream is associated with video frame, thereby producing a second portion of decoded data, wherein entropy decoding second portion of video bitstream is independent of entropy decoding first portion of video bitstream; and reconstructing a first portion of video frame associated with video bitstream using first portion of decoded data and second portion of decoded data.

Abstract: A method for decoding video includes receiving quantized coefficients representative of a block of video representative of a plurality of pixels. The quantized coefficients are dequantized based upon a function of a remainder. The dequantized coefficients are inverse transformed to determine a decoded residue.

Abstract: A graphical instruction data processing method and apparatus, and a system are disclosed, to help reduce a quantity of transmitted graphical instruction data, and lower a requirement on bandwidth. Aspects of the disclosure provide a method for processing graphical instruction data. The method includes obtaining, by a server device in a cloud interactive system, graphical instruction data of a frame, and determining whether the frame satisfies a key frame setting condition. Further, the method includes when the frame is determined to fail to satisfy the key frame setting condition, comparing the graphical instruction data of the frame with graphical instruction data of a current key frame, to obtain differential data, and sending the differential data to user equipment in the cloud interactive system. The user equipment reconstructs the graphical instruction data of the frame according to the current key frame and the differential data.

Abstract: An apparatus and method for real-time optical imaging of a tissue specimen.

Abstract: A method of encoding an image can include determining an intra prediction mode and generating one or more prediction blocks using the intra prediction mode; determining motion information and generating a prediction block using the motion information; transforming residual signals generated using an original block and the prediction block to generate a transformed block; determining a quantization parameter and quantizing the transformed block using a quantization matrix and the quantization parameter to generate a quantized block; determining a scan pattern and applying the scan pattern to the quantized block to generate one-dimensional coefficient information; and entropy-coding the one-dimensional coefficient information, information on the intra prediction mode, the motion information, and a differential quantization parameter, in which the differential quantization parameter is generated by subtracting a quantization parameter predictor from the quantization parameter.

Abstract: An image coding method includes: selecting a first picture from plural pictures; setting a first temporal motion vector prediction flag which is associated with the first picture and is a temporal motion vector prediction flag indicating whether or not temporal motion vector prediction is to be used, to indicate that the temporal motion vector prediction is not to be used, and coding the first temporal motion vector prediction flag; coding the first picture without using the temporal motion vector prediction; and coding a second picture which follows the first picture in coding order, with referring to a motion vector of a picture preceding the first picture in coding order being prohibited.

Abstract: An evaluation device includes a projector to project a pattern having an edge component onto an object, an imaging device to capture an image of the object, a reflective-property correction unit to correct an amount of change in shape of a virtual image of the pattern reflected in the object, using reflective-property data of a surface of the object, and an evaluation-value calculator to evaluate image clarity of the surface of the object based on the corrected amount of change. A computer-readable non-transitory recording medium storing a program for causing a computer to execute a method. The method includes correcting an amount of change in shape of a virtual image of the pattern reflected in the object based on image data that is obtained by capturing an object onto which a pattern having an edge component is projected, using reflective-property data of a surface of the object.

Abstract: A method and system for constructing view from multiple video streams is provided. The method includes receiving a view independent stream. The method further includes selecting a first view dependent stream, wherein the view independent stream and the first view dependent stream has at least one different geometry. The method also includes generating end user views corresponding to the view independent stream and the first view dependent stream. Further, the method includes blending the end user views to generate a view for display.

Abstract: A display device includes an image display section for left eye, an image display section for right eye, and a control section configured to expand the image data for the eyes, and cause the image display section for the eyes to display the expanded image data for the eyes. The control section acquires compressed UI image data, draws the compressed UI image data in a predetermined position of one of the image data for left eye before the expansion and the image data for right eye before the expansion, draws the compressed UI image data in a position corresponding to the predetermined position of the other of the image data for left eye before the expansion and the image data for right eye before the expansion, and performs the expansion using the image data for left eye and for right eye after the drawing.

Abstract: A method and system for determining depth of an image using a single imager and a lens having a variable focal length is provided. The system comprises a microfluidic lens having a variable focal length controlled by a lens controller and an imager receiving an image of an object from the lens, wherein the imager is configured to receive a first image comprising a first plurality of pixels from the lens at a first focal length and a second image comprising a second plurality of pixels from the lens at a second focal length, the second focal length being different than the first focal length, non-volatile memory, wherein the first image and the second image are stored in the non-volatile memory, a depth module configured to determine a distance between the lens and the object based by a comparison of the first image of the object and the second image of the object.

Abstract: Provided are methods and apparatuses for encoding and decoding a coding unit of a picture outline. An image decoding method includes obtaining a prediction mode and prediction information of a current block included in a current image, from a bitstream; reconstructing the current block based on at least one of the prediction mode and the prediction information of the current block; when the prediction mode of the current block is a first prediction mode, obtaining a prediction candidate related to a second prediction mode by performing prediction according to the second prediction mode based on the reconstructed current block; and reconstructing an adjacent block reconstructed after the current block by using the prediction candidate related to the second prediction mode.

Abstract: A method includes reducing, at an encoder, an encoding bit rate of video data in response to a first indication of available bandwidth for transmission of the encoded video data. The method includes reducing an encoding frame size of the video data in response to the encoding bit rate falling below a first threshold. The method also includes increasing the encoding bit rate in response to a second indication of the available bandwidth. The method further includes increasing the encoding frame size in response to the encoding bit rate rising above a second threshold. The second threshold is greater than the first threshold.

Abstract: A system to perform processing operations of input (video) streams, including is disclosed. The system consists of an input module, a stream type detection engine, a plurality of processing resources a resource monitoring engine, an attribution module, a dispatching module, and various other optional interface modules.

Abstract: A method of determining a maximum permissible key frame distance for use in encoding image frames in a video sequence comprising encoding a plurality of video test sequences, each video test sequence having a respective noise level, where each video test sequence is encoded using a respective quantization parameter and a plurality of key frame distances is disclosed. For each video test sequence, an output bitrate is determined for each key frame distance. For each combination of noise level, quantization parameter, and key frame distance, the determined output bitrate is stored and a maximum key frame distance at which output bitrate decreases in response to an increase in key frame distance is identified as maximum permissible key frame distance. A method of encoding image frames in a video sequence is also disclosed, as well as a system, a camera and a computer program product for performing the methods.

Abstract: There is disclosed apparatuses, methods and computer programs for utilizing motion prediction in video coding. A block of pixels of a video representation encoded in a bitstream is read, and a type of the block is determined. If the determining indicates that the block is a block predicted by using two or more reference blocks, a first reference pixel location in a first reference block is determined and a second reference pixel location in a second reference block is determined. The first reference pixel location is used to obtain a first prediction. Said first prediction has a second precision, which is higher than the first precision. The second reference pixel location is used to obtain a second prediction, which also has the second precision. The first prediction and the second prediction are combined to obtain a combined prediction; and the precision of the combined prediction is reduced to the first precision.

Abstract: Systems and methods are disclosed for determining the status of a traffic device and vehicle movement. A traffic device may have a traffic device computer, one or more traffic signals, and/or a transceiver. The traffic device may transmit, via the transceiver and to a vehicle and infrastructure computing device, information indicative of a status of the one or more traffic signals. The vehicle and infrastructure computing device may comprise a vehicle and infrastructure control computer. The vehicle and infrastructure computing device may receive, from the traffic device, the information indicative of the status of the one or more traffic signals. The computing device may determine that the information indicative of the status of the one or more traffic signals indicates that the one or more traffic signals of the traffic device switched from a red light to a green light and a time that the one or more traffic signals of the traffic device switched from the red light to the green light.

Abstract: A method and apparatus for intra predicting a video. The method includes: determining availability of a predetermined number of adjacent pixels used for intra prediction of a current block; if a first adjacent pixel is unavailable, searching for a second adjacent pixel that is available by searching the predetermined number of adjacent pixels in a predetermined direction based on the first adjacent pixel; and replacing a pixel value of the first adjacent pixel with a pixel value of a found second adjacent pixel. At least one third adjacent pixel in another location, which is not available and excludes the first adjacent pixel at a predetermined location, is to sequentially replaced by using a directly adjacent pixel in a predetermined direction.

Abstract: Obtaining one or more motion vector predictor candidates includes: (a1) generating a motion vector predictor candidate, based on motion vectors of first adjacent blocks adjacent to a block to be processed in a first direction; and (a2) generating a motion vector predictor candidate, based on motion vectors of second adjacent blocks adjacent to the block to be processed in a second direction, and step (a2) includes: determining whether the first adjacent blocks include an inter-predicted block; and searching for a motion vector on which scaling processing can be performed from among the motion vectors of the second adjacent blocks when it is determined that the first adjacent blocks do not include an inter-predicted block, and executing, when the motion vector on which scaling processing can be performed is obtained in the search, scaling processing on the motion vector obtained in the search.