Abstract: Method and apparatus for ascertaining a at a current time of consideration and for future times of consideration, wherein a first time profile of a base characteristic variable is mapped over the operating time, where the first time profile of the base characteristic variable represents a state of a reference machine at the time of consideration in dependence on the operating time and an actual characteristic variable that varies over the operating time be calculated by means of an individual function, where an input variable fed to the individual function is a performance characteristic variable of the machine, which is detected periodically via a machine data detection unit or is predicted for future operating times, and where the health characteristic variable is displayed as a second time profile by adding the ascertained actual characteristic variable or the predicted actual characteristic variable to the first time profile.

Abstract: A method for processing sensor data. The method including: providing surroundings data of a vehicle; assigning the surroundings data to corresponding locating data; and transferring the locally assigned surroundings data to a processing device, the transfer of the surroundings data between a sensor unit and a control unit and/or the transfer of the locally assigned surroundings data between the control unit and the processing device being carried out according to a defined data limiting criterion.

Abstract: A video codec configured to receive a current block and a plurality of neighboring pixels, wherein the current block comprises a first partition and a second partition, select one or more reference pixels from the plurality of neighboring pixels, and predict a plurality of pixels located in the second partition based on the reference pixels.

Abstract: There is disclosed a method, apparatus and computer program product for prediction mode selection for coding a block of a depth map. An ordered list of coding modes is obtained, wherein the ordered list of coding modes comprises a plurality of coding modes each of which is capable of being used for coding of the block. A plurality of depth modeling modes (DMMs) each of which is capable of being used for coding of the block are obtained. And whether a DMM of the plurality of DMMs is to be added into the ordered list of coding modes in accordance with a decision condition is determined.

Abstract: A video codec comprising a processor configured to generate a prediction block for a chroma block, wherein the prediction block comprises a predicted chroma sample, wherein the predicted chroma sample is based on a filtered reconstructed luma sample located in a corresponding reconstructed luma block, a plurality of downsampled filtered reconstructed luma samples located in positions neighboring the corresponding reconstructed luma block, and a plurality of downsampled chroma samples located in positions neighboring the chroma block.

Abstract: A video codec configured to receive a current block and a plurality of neighboring pixels, wherein the current block comprises a first partition and a second partition, select one or more reference pixels from the plurality of neighboring pixels, and predict a plurality of pixels located in the second partition based on the reference pixels.

Abstract: There is disclosed a method, device and computer-readable storage medium for decoding video data. The method includes: obtaining a reference sample array of a video block; obtaining a sum of the reference sample array; calculating a threshold by performing arithmetic right shift to the sum, a shift value of the arithmetic right shift being determined according to size information of the video block; and determining the binary partition pattern by comparing the reference sample array with the threshold.

Abstract: System, apparatus, and method embodiments are provided for detecting the presence of a pedestrian in an image. In an embodiment, a method for determining whether a person is present in an image includes receiving a plurality of images, wherein each image comprises a plurality of pixels and determining a modified center symmetric local binary pattern (MS-LBP) for the plurality of pixels for each image, wherein the MS-LBP is calculated on a gradient magnitude map without using an interpolation process, and wherein a value for each pixel is a gradient magnitude.

Abstract: There is disclosed a method, apparatus and computer program product for prediction mode selection for coding a block of a depth map. An ordered list of coding modes is obtained, wherein the ordered list of coding modes comprises a plurality of coding modes. And whether a depth modeling mode and/or a region boundary chain mode is to be added into the ordered list of coding modes in accordance with a decision condition is determined.

Abstract: There is disclosed a method, apparatus and computer program product for prediction mode selection for coding a block of a depth map. An ordered list of coding modes is obtained, wherein the ordered list of coding modes comprises a plurality of coding modes each of which is capable of being used for coding of the block. A plurality of depth modeling modes (DMMs) each of which is capable of being used for coding of the block are obtained. And whether a DMM of the plurality of DMMs is to be added into the ordered list of coding modes in accordance with a decision condition is determined.

Abstract: A method of performing an image retargeting quality assessment comprising comparing an original image and a retargeted image in a frequency domain, wherein the retargeted image is obtained by performing a retargeting algorithm on the original image. The disclosure also includes an apparatus comprising a processor configured to perform an image retargeting quality assessment, and compare an original image and a retargeted image in a spatial domain, wherein the retargeted image is obtained by performing a retargeting algorithm on the original image, and wherein comparing the original image and the retargeted image in the spatial domain comprises comparing the original image and the retargeted image to determine an amount of shape distortion between the images.

Abstract: A method comprising receiving a plurality of reference pixels, computing a plurality of filter coefficients based on differences between a reference pixel and neighboring reference pixels in the plurality of reference pixels, and combining the filter coefficients with the reference pixel and the neighboring reference pixels to generate a filtered value, wherein the filtered value is used for intra prediction.

Abstract: An apparatus comprising a processor configured to determine whether to use an intra smoothing filter for a rectangular prediction unit (PU) based on a lookup table (LUT) used for square PUs, wherein a width of the rectangular PU is not equal to a height of the rectangular PU.