Abstract: An encoding method which allows reduction in the amount of codes is provided. The encoding method includes: setting step S11 for setting a quantization matrix set; quantization step S12 for performing quantization on a target block using the selected quantization matrix; and encoding step S13 for encoding, in a mutually associated manner, the target block which has been subjected to the quantization and identification information for identifying the quantization matrix set which has been set. In setting step S11, a quantization matrix set selected from a plurality of quantization matrix sets is set as the quantization matrix set to be used to perform the quantization on the target block, the plurality of quantization matrix sets including a custom quantization matrix set which is arbitrarily specified and a plurality of defined quantization matrix sets which have been respectively defined in advance.

Abstract: Transform kernel candidates including a vertical transform type associated with a vertical motion and a horizontal transform type associated with a horizontal motion can be encoded or decoded. During an encoding operation, a residual block of a current block is transformed according to a selected transform kernel candidate to produce a transform block. A probability model for encoding the selected transform kernel candidate is then identified based on neighbor transform blocks of the transform block. The selected transform kernel candidate is then encoded according to the probability model. During a decoding operation, the encoded transform kernel candidate is decoded using the probability model. The encoded transform block is then decoded by inverse transforming dequantized transform coefficients thereof according to the decoded transform kernel candidate.

Abstract: A quantized transform coefficient matrix is partitioned into a sequence of partition portions. The coefficients of the matrix are grouped into the sequence of partition portions based on a hardware implemented scan order. Each partition portion is processed in an order of the sequence in a first pass. For each partition portion, a group of coefficients in the partition portion is determined. For each partition portion, a first data rate estimation for the quantized transform coefficient matrix is updated based on at least some coefficients of the group of coefficients in the partition portion and a maximum end-of-block. For each partition portion, an end-of-block estimation of the quantized transform coefficient matrix is updated based on at least some coefficients of the group of coefficients in the partition portion. A first resulting data rate estimation and a true end-of-block of the quantized transform coefficient matrix are determined after the first pass.

Abstract: The present disclosure relates to adaptive filtering, e.g. adaptive loop filtering, which may be used during encoding and decoding of video pictures. In particular, the present disclosure provides for determining a zero coefficients map, in which each bit indicates whether or not a respective filter coefficient of a supporting region is to be included into the bitstream for an adaptive filter. An indication of the zero coefficients map is included into the bitstream before at least one filter coefficient of the adaptive filter indicated by the zero coefficients map as to be included into the bitstream. The provision of a zero coefficients map enables an efficient signaling and allows for flexible filter shapes that are particularly suitable for the content at hand.

Abstract: A quantization scheme substitutes the division operation by forward and inverse quantization look-up tables to improve efficiency.

Abstract: A system and method for calibrating stereoscopic cameras in an aircraft utilizes a plurality of lasers aimed at a desired convergence point, such as at a point on a runway or other ground facility or projection surface. Each of the stereoscopic cameras are adjusted in terms of pitch, yaw, and roll to align the convergence point in each camera. Misalignments are iteratively corrected, as required. An alignment crosshair is applied, physically or electronically, and the convergence point aligned to the alignment crosshair.

Abstract: The present disclosure relates to an apparatus and a method for image processing each of which enables reduction of a coding efficiency to be suppressed. In the case where primary transformation as transformation processing for a predictive residue as a difference between an image and a predictive image of the image and secondary transformation as transformation processing for a primary transformation coefficient obtained by subjecting the predictive residue to the primary transformation are caused to be skipped, a switch also causes bandwidth limitation for a secondary transformation coefficient obtained by subjecting the primary transformation coefficient to the secondary transformation to be skipped. The present disclosure, for example, can be applied to an image processing apparatus, an image coding apparatus, an image decoding apparatus or the like.

Abstract: A method including: extracting a set of video features representing properties of a video segment; generating a set of bitrate-resolution pairs based on the set of video features, each bitrate-resolution pair in the set of bitrate-resolution pairs defining a bitrate and defining a resolution estimated to maximize a quality score characterizing the video segment encoded at the bitrate; accessing a distribution of audience bandwidths; selecting a top bitrate-resolution pair in the set of bitrate-resolution pairs; selecting a bottom bitrate-resolution pair in the set of bitrate-resolution pairs; selecting a subset of bitrate-resolution pairs in the set of bitrate-resolution pairs based on the distribution of audience bandwidths, the subset of bitrate-resolution pairs defining bitrates less than the top bitrate and greater than the bottom bitrate; and generating an encoding ladder for the video segment comprising the top bitrate-resolution pair, the bottom bitrate-resolution pair, and the subset of bitrate-resolu

Abstract: Generating a compound predictor block of a current block of video can include generating, for the current block, predictor blocks comprising a first predictor block including first predictor pixels and a second predictor block including second predictor pixels; using at least a subset of the first predictor pixels to determine a first weight for a first predictor pixel of the first predictor pixels; obtaining a second weight for a second predictor pixel of the second predictor pixels, where the second predictor pixel is co-located with the first predictor pixel; and generating the compound predictor block by combining the first predictor block and the second predictor block, where the predictor block includes a weighted pixel that is determined using a weighted sum of the first predictor pixel and the second predictor pixel using the first weight and the second weight, respectively.

Abstract: An image processing apparatus includes circuitry configured to: set a luminance adjustment mode to one of a first luminance adjustment mode that performs luminance adjustment with preset sensitivity and a second luminance adjustment mode that has sensitivity of the luminance adjustment lower than the sensitivity of the first luminance adjustment mode and suppresses luminance of a high luminance region based on an observation state of an imager configured to capture a target; and perform the luminance adjustment in the set luminance adjustment mode.

Abstract: Systems and methods for interactive site resource management are disclosed. In certain embodiments, the system and method collects and accesses local geospatially-referenced landscape and site survey data in the field as facilitated by selectable content views, the gathered landscape and site survey data synthesized with baseline geospatially-referenced landscape and site survey data. In one aspect, the synthesized landscape and site geospatially-referenced survey data may be used by a project lead or authority agent, to create a landscape and/or site report, an authorized development plan, a master landscape and/or site survey, and/or as-built development plans. In certain embodiments, the synthesized landscape site survey data is presented as an augmented reality display.

Abstract: A three-dimensional (3D) microscope includes various insertable components that facilitate multiple imaging and measurement capabilities. These capabilities include Nomarski imaging, polarized light imaging, quantitative differential interference contrast (q-DIC) imaging, motorized polarized light imaging, phase-shifting interferometry (PSI), and vertical-scanning interferometry (VSI).

Abstract: A method of measuring a banding artefact in an image includes generating a gradient profile from the image, where the gradient profile includes respective gradient magnitudes of pixels of the image; generating, using the gradient profile, a candidate banding pixel (CBP) map, where each location of the CBP map is such that a gradient magnitude of the gradient profile of a corresponding pixel of the image being greater than a first threshold and smaller than a second threshold; generating, using the CBP map, a banding edge map (BEM), where the BEM includes connected banding edges of the image; generating, using the BEM, a banding visibility map (BVM), where the BVM includes a respective banding metric for at least some pixels of the image; and generating a banding index of the image using the BVM.

Abstract: A first value of a first data element (311) in a first set of data elements (310) is obtained, the first set of data elements being based on a first time sample of a signal. A second value of a second data element (321) in a second set of data elements (320) is obtained, the second set of data elements being based on a second, later time sample of the signal. A measure of similarity is derived between the first value and the second value. Based on the derived measure, a quantisation parameter useable in performing quantisation on data based on the first time sample of the signal is determined. Output data is generated using the quantisation parameter.

Abstract: An in-loop deblocking filter apparatus (120) for processing a current row or column of samples into a filtered row or column of samples. The current row or column of samples comprises a plurality of samples from a first sample block and a horizontally or vertically neighboring second sample block of a reconstructed picture of a video stream. The samples of the current row or column of samples have sample values pN?1?p0, q0?qN?1 wherein N is an even integer greater than 2. If a first condition or a second condition is satisfied, the current row or column is processed by: determining a filtered sample value q0? by applying a (2N?1)-tap filter to the sample values pN?2, . . . , p0, q0, . . . , qN?1 of the current row or column; and/or determining a filtered sample value p0? by applying a (2N?1)-tap filter to the sample values pN?1, . . . , p0, q0, . . . , qN?2 of the current row or column.

Abstract: An image decoding method according to the present invention includes: a step for determining a reference sample line of a current block; a step for determining whether candidate intra-predition modes identical to the intra-prediction mode of the current block exist; a step for deriving the intra-prediction mode of the current block on the basis of the determination; and a step for performing intra-prediction on the current block on the basis of the reference sample line and the intra-prediction mode. Here, at least one of the candidate intra prediction modes may be derived by adding or substracting an offset to or from the maximum value among the intra-prediction mode of a neighboring block that is above the current block and the intra-prediction mode of a neighboring block that is to the left of the current block.

Abstract: Compensating for delay in a Pan-Tilt-Zoom (PTZ) camera system is disclosed. Client-side view transformation is carried out to emulate a future Field Of View (FOV) of the camera so that the impact of latency is reduced.

Abstract: A certain material irregularly expressed in an observation area is effectively observed. An observing apparatus includes a first observing unit performing a time lapse shooting of a predetermined observation area, a first discriminating unit discriminating whether or not a first material is expressed in the observation area based on an image obtained by the first observing unit, and a second observing unit starting a time lapse shooting relating to a part where the first material is expressed at a timing when the first material is expressed in the observation area, in which a shooting frequency of the time lapse shooting by the second observing unit is higher than a shooting frequency of the time lapse shooting by the first observing unit.

Abstract: The invention relates to an apparatus for decoding an encoded texture block of a texture image, the decoding apparatus comprising: a partitioner (510) adapted to determine a partitioning mask (332) for the encoded texture block (312?) based on depth information (322) associated to the encoded texture block, wherein the partitioning mask (332) is adapted to define a plurality of partitions (P1, P2) and to associate a texture block element of the encoded texture block to a partition of the plurality of partitions of the encoded texture block; and a decoder (720) adapted to decode the partitions of the plurality of partitions of the encoded texture block based on the partitioning mask.

Abstract: An in-loop deblocking filter apparatus (120) for processing a current row or column of samples into a filtered row or column of samples. The current row or column of samples comprises a plurality of samples from a first sample block and a horizontally or vertically neighboring second sample block of a reconstructed picture of a video stream. The samples of the current row or column of samples have sample values pN?1?p0, q0?qN?1 wherein N is an even integer greater than 2. If a first condition or a second condition is satisfied, the current row or column is processed by: determining a filtered sample value q0? by applying a (2N?1)-tap filter to the sample values pN?2, . . . , p0, q0, . . . , qN?1 of the current row or column; and/or determining a filtered sample value p0? by applying a (2N?1)-tap filter to the sample values pN?1, . . . , p0, q0, . . . , qN?2 of the current row or column.