Abstract: The invention relates to a method and device for detecting the edge profile of bottles or similar containers that are moved past a measuring and/or receiving region of a measuring and/or receiving system, using at least one opto-electric receiver on one side of the measuring and/or receiving region and using at least one light-emitting device on the side located opposite of the receiver in the measuring and/or receiving region.

Abstract: In one aspect, a method includes providing a lens substrate having an array of lenses. The lens substrate includes an overflow region next to each lens of the array. Each overflow region includes an overflow lens material. The method also includes separating the lens substrate into a plurality of smaller lens substrates. Each of the smaller lens substrates has one of the single lens and the plurality of stacked lenses. Separating the lens substrate into the smaller lens substrates may include removing or substantially removing the overflow regions. In one aspect, the method may be performed as a method of making a miniature camera module. Other methods are also described, as are miniature camera modules.

Abstract: Systems, apparatus, articles, and methods are described including operations for 3D video coding including depth based disparity vector calibration.

Abstract: Disclosed is a video decoding method that decodes a bitstream, the method including receiving a picture parameter set (PPS) comprising at least one of first information indicating whether the same reference picture list is applied to slices comprised in a picture and second information indicating whether additional information on modification of the reference picture list is present, and deriving a construction of the reference picture list based on the PPS. Accordingly, there are provided a method and an apparatus for signaling by a picture whether the construction of the reference picture list is modified when constructing the reference picture list.

Abstract: Disclosed are a method and an apparatus for coding/decoding an image. The method for decoding the image comprises the steps of: deriving a scale factor of a current block, depending on whether the current block is a conversion skip block; and scaling the current block on the basis of the scale factor, wherein the scale factor of the current block is derived on the basis of the position of a conversion coefficient inside the current block, and wherein the conversion skip block is the current block to which conversion is not applied and is specified on the basis of information indicating whether to apply reconversion to the current block.

Abstract: According to one to one exemplary embodiment, the disclosure provides a method of coding prediction for screen video. The method classifies a plurality of coding blocks into a plurality of block types by using a classifier; and uses a computing device to filter at least one candidate block from the plurality of coding blocks, according to the plurality of block types of the plurality of coding blocks, and compute a first candidate motion vector set of a type-based motion merge mode and a second candidate motion vector set of a type-based advanced motion vector prediction mode, wherein each of the at least one candidate block has a block-type different from that of a current coding block.

Abstract: This disclosure proposes techniques to allow more flexibility in filtering chroma components in the adaptive loop filter. In one example, a method for adaptive loop filtering includes performing luma adaptive loop filtering based for luma components of a block of pixels, and performing chroma adaptive loop filtering for chroma components of the block of pixels, wherein filter coefficients for both the luma adaptive loop filtering and chroma adaptive loop filtering are derived from a block-based mode or a region-based mode. The method may further include determining to perform luma adaptive loop filtering on the block of pixels, and determining to perform chroma adaptive loop filtering on the block of pixels, wherein the determining to perform chroma adaptive loop filtering is performed independently of determining to perform luma adaptive loop filtering.

Abstract: The present invention includes an image information decoding method which comprises: a step of receiving a bitstream that includes a network abstraction layer (NAL) unit including information related to an encoded image; and a step of parsing an NAL unit header of the NAL unit. The NAL unit header includes layer information including reserved_one_5bits for identifying an extended layer in an extended bitstream and temporal_id for identifying a temporal layer of a bitstream. The reserved_one_5bits of the layer information is received prior to the temporal_id of the layer information. Thus, a method for describing scalability information in a hierarchical bitstream is provided.

Abstract: An imaging device for a photo finish system, including a first camera aligned on a finish line and a mechanism for display of three dimensional stereoscopic images.

Abstract: A video decoding method, includes: reconstructing a syntax corresponding to at least one of a first block, a second block and a third block, wherein the first block is generated by dividing a frame for decoding, the second block corresponds to a unit of a prediction and is generated by dividing the first block, and the third block corresponds to a unit of transformation and is generated by dividing the first block in a tree structure; and reconstructing a prediction block corresponding to at least one of the first block, the second block and the third block.

Abstract: There is disclosed an apparatus, a method and a computer program for video coding. The apparatus comprises a selector configured for selecting a pixel for prediction; a projection definer configured for determining a projection of said pixel to a set of reference pixels; and a prediction definer configured for selecting one or more reference pixels from said set of reference pixels on the basis of said projection, and using said selected one or more reference pixels to obtain a prediction value for said pixel to be predicted.

Abstract: Systems, apparatus, articles, and methods are described including operations for 3D video coding including depth based disparity vector calibration.

Abstract: In one example, the disclosure is directed to techniques that include receiving a bitstream comprising at least a syntax element, a first network abstraction layer unit type, and a coded access unit comprising a plurality of pictures. The techniques further include determining a value of the syntax element which indicates whether the access unit was coded using cross-layer alignment. The techniques further include determining the first network abstraction layer unit type for a picture in the access unit and determining whether the first network abstraction layer unit type equals a value in a range of type values. The techniques further include setting a network abstraction layer unit type for all other pictures in the coded access unit to equal the value of the first network abstraction layer unit type if the first network abstraction layer unit type is equal to a value in the range of type values.

Abstract: In one example, the disclosure is directed to techniques that include receiving a bitstream comprising at least a syntax element, a first network abstraction layer unit type, and a coded access unit comprising a plurality of pictures. The techniques further include determining a value of the syntax element which indicates whether the access unit was coded using cross-layer alignment. The techniques further include determining the first network abstraction layer unit type for a picture in the access unit and determining whether the first network abstraction layer unit type equals a value in a range of type values. The techniques further include setting a network abstraction layer unit type for all other pictures in the coded access unit to equal the value of the first network abstraction layer unit type if the first network abstraction layer unit type is equal to a value in the range of type values.

Abstract: Decoding of image data from a bit stream of encoded image data is performed. The image data was encoded in a selected domain by a transform function. A set of coefficients is extracted from the bit stream, wherein the set of coefficients represent a block of the image data. Each coefficient is compared to a theoretical model of a distribution of the coefficient data representative of the transform function. A decoding error is indicated when a coefficient does not lie within the theoretical model.

Abstract: A method and apparatus for segmenting an image are provided. An image acquisition and segmentation apparatus may include a sensor, a lens having a variable distance to the sensor, and a processor for acquiring an image and segmenting one or more segments from the acquired image. The lens may be moved relative to the sensor in accordance with a microelectronic machine in order to provide a shallow depth of field and a resulting blurred background, therefore easing a segmentation of one or more foreground objects in an acquired image.

Abstract: A system and method for generating, by a video encoder, side information associated with a plurality of blocks of pixel data, the side information providing for each block of pixel data an indication of a video quality impact in an instance the block of pixel data is lost in the network.

Abstract: A microscopy method for generating a high-resolution image (55) of a sample (2) comprising the following steps: a) the sample (2) is provided with a marker, which upon excitation emits statistically flashing luminescent radiation, or a sample (2) is used which upon excitation emits locally distributed, statistically flashing luminescent radiation; b) the sample (2) is excited to luminescence by means of structured illumination, wherein the sample is repeatedly illuminated in at least nine different illumination conditions (0.01-0.09) of the structured illumination by realizing at least three rotary positions, and at least three displacement positions per rotary position of the structured illumination; c) the luminescing sample (2) is repeatedly displayed in each of the different illumination conditions on a flat panel detector having pixels, such that an image sequence (44.01-44.09) is obtained for each of the different illumination conditions (0.01-0.

Abstract: A device for decoding video data includes a memory configured to store video data, and at least one processor. The at least one processor is configured to: determine a first bit-depth of luma residual samples for a block of video data, determine a second bit-depth of predicted chroma residual samples for the block of video data, adjust the luma residual samples based on the first bit-depth and the second bit-depth to produce bit-depth adjusted luma residual samples, determine chroma residual samples for the block of video data based on the bit-depth adjusted luma residual samples and the predicted chroma residual samples, and decode the block of video data based on the luma residual samples and the chroma residual samples.

Abstract: Systems and methods in accordance with embodiments of the invention actively align a representative optic array with an imager array, and subsequently passively align constituent optic arrays with constituent imager arrays based on data from the active alignment. In one embodiment, a method of aligning a plurality of lens stack arrays with a corresponding plurality of sensors includes: aligning a first lens stack array relative to a first sensor, varying the spatial relationship between the first lens stack array and the first sensor; capturing images of a known target using the arrangement at different spatial relationships between the first lens stack array and the first sensor; scoring the quality of the captured images; and aligning at least a second lens stack array relative to at least a second sensor, based on the scored images and the corresponding spatial relationships by which the scored images were obtained.