Abstract: An image is divided into a plurality of tiles and the tile is divided into rectangular regions each including at least one block row formed from a plurality of blocks each having a size smaller than the tile. If each slice in the image includes only one rectangular region, based on the number of blocks in a vertical direction in the rectangular region, the number of pieces of information for specifying a start position of coded data of the block row in the slice is specified. A bitstream in which at least the pieces of information, whose number is as many as the specified number, information representing that each slice in the image is formed by only one rectangular region, and the coded data of the block row are multiplexed is generated.

Abstract: Bitrate-adaptive segmentation is performed for transcoding a video stream uploaded to an online video platform for hosting and later playback to platform users. The video stream is segmented into chunks based on prediction-based bit costs determined for frames of the video stream rather than based on scene changes detected within the video stream. The bitrate-adaptive segmentation includes determining inter-prediction bit costs and intra-prediction bit costs for frames of the video stream based on information indicated within a pass log based on a first pass encoding of the video stream, determining chunk boundaries for segmenting the video stream into a chunk based on the inter-prediction bit costs and the intra-prediction bit costs for the frames, and transcoding the chunk to produce a transcoded video stream.

Abstract: Systems and methods for imaging are provided. For example, a system may include an imaging probe that comprises a housing, an imaging portion comprising a camera, and a processor. The housing may be mountable to an inspection window of an apparatus, providing a view into an interior portion of the apparatus with one or more rotatable components therein. The imaging portion may be (a) extendable out of the housing and into the interior portion of the apparatus such that the camera are positioned within the interior portion of the apparatus and (b) retractable into the housing such that the camera are not positioned within the interior portion of the apparatus. The processor may automatically extend and retract the imaging portion and capture a plurality of images of the one or more rotatable components when the imaging portion is extended.

Abstract: The present disclosure relates to an image processing device and method that allow reduction in coding efficiency to be suppressed. A pixel value of a chroma component is predicted by linear prediction from a pixel value of a reference image of a luma component whose pixel location is changed by using a filter, and a prediction image of the chroma component is generated. A chroma component of encoded data in which an image is encoded is decoded by using the generated prediction image. The filter is selected on a basis of information regarding a pixel location of the chroma component and information regarding a color format. The present disclosure is applicable, for example, to an image processing device, an image encoding device, an image decoding device, or the like.

Abstract: An image decoding method according to the present document comprises the steps of: deriving a transform coefficient for a current block on the basis of residual information; deriving a residual sample by applying, to the transform coefficient, at least one of LFNST and MTS; and generating a reconstructed picture on the basis of the residual samples, wherein the LFNST is performed on the basis of an LFNST index indicating an LFNST kernel, the MTS is performed on the basis of an MTS index indicating an MTS kernel, and the LFNST index may be parsed before the MTS index.

Abstract: The present invention discloses a method for constructing a tile structure, wherein a current picture includes at least two or more tiles, the at least two or more tiles are split by a column splitting and a row splitting, at least one or more of the column splitting and the row splitting are performed by using a splitting length which is shorter than a width length or a height length of the current picture.

Abstract: A method of encapsulating an encoded bitstream representing one or more images includes providing description of images and/or sub-image picture, providing composed picture description, and outputting the bitstream. The description of images and/or sub-image pictures identifying portions of the bitstream representing the images and/or sub-images of the one or more images is provided. The composed picture description of at least one composed picture formed by one or more images and/or sub-image pictures also is provided. The bitstream, together with the composed picture description, is output as an encapsulated data file.

Abstract: A method of video processing is described. The method includes performing a conversion between a current video block of a video and a coded representation of the current video block according to a rule, wherein the rule specifies that, due to use of an identity transform coding tool for representing the current video block into the coded representation, a syntax field indicative of a quantization parameter used for decoding the current video block is included such that a value of the quantization parameter is modified according to a rule, wherein the identity transform coding tool allows coefficient values at a transform domain of the current block to be same as values of a residual block of the current video block.

Abstract: Inter prediction method and apparatus are disclosed to resolve problems in the conventional technology that prediction samples obtained in an inter prediction mode are spatially discontinuous, prediction efficiency is affected, and prediction residual energy is relatively high. The method includes: parsing a bitstream to obtain motion information of a to-be-processed picture block; performing motion compensation on the to-be-processed picture block based on the obtained motion information, to obtain a prediction block of the to-be-processed picture block, where the prediction block of the to-be-processed picture block includes a prediction value of a target sample; and performing weighting calculation on one or more reconstructed values of one or more reference samples and the prediction value of the target sample, to update the prediction value of the target sample, where the reference sample(s) have a preset spatial position relationship with the target sample.

Abstract: Disclosed is a device that utilizes a light-field display to project a virtual continuum of real world perspectives of a natural scene to a plurality of observer viewpoints to simulate a natural environment. An observer perceives different perspectives as he or she moves through the simulated environment just like the observer would as if he or she were in a natural environment.

Abstract: The present invention concerns an apparatus configured to partition a picture into leaf blocks using recursive multi-tree partitioning, block-based encode the picture into a data stream using the partitioning of the picture into the leaf blocks, wherein the apparatus is configured to, in partitioning the picture into the leaf blocks, for a predetermined block which extends beyond a boundary of the picture, reduce an available set of split modes depending on a position at which the boundary of the picture crosses the predetermined block in order to obtain a reduced set of one or more split modes, wherein the apparatus is configured to signal a selected split mode in the data stream.

Abstract: An image processing device including an acquiring section configured to acquire quantization matrix parameters from an encoded stream in which the quantization matrix parameters defining a quantization matrix are set within a parameter set which is different from a sequence parameter set and a picture parameter set, a setting section configured to set, based on the quantization matrix parameters acquired by the acquiring section, a quantization matrix which is used when inversely quantizing data decoded from the encoded stream, and an inverse quantization section configured to inversely quantize the data decoded from the encoded stream using the quantization matrix set by the setting section.

Abstract: An image decoding method according to the present document is characterized by including: a step for receiving a bitstream including residual information; a step for deriving transform coefficients for a target block on the basis of the residual information; a step for deriving corrected transform coefficients on the basis of an inverse non-separable transform of the transform coefficients; and a step for deriving residual samples for the target block on the basis of an inverse primary transform of the corrected transform coefficients, wherein the inverse non-separable transform is performed when the size of the target block is equal to or smaller than the size of a prescribed maximum transform application block.

Abstract: A system, method, and/or instrumentality may be provided for coding a 360-degree video. A picture of the 360-degree video may be received. The picture may include one or more faces associated with one or more projection formats. A first projection format indication may be received that indicates a first projection format may be associated with a first face. A second projection format indication may be received that indicates a second projection format may be associated with a second face. Based on the first projection format, a first transform function associated with the first face may be determined. Based on the second projection format, a second transform function associated with the second face may be determined. At least one decoding process may be performed on the first face using the first transform function and/or at least one decoding process may be performed on the second face using the second transform function.

Abstract: The present disclosure relates to a vision assistive device for use by blind or low vision users. The device includes an imaging unit for viewing objects positioned beneath the device. The device further includes a forwardly facing screen for displaying an enlarged view of the imaged object to the user. The imaging unit is configured to take multiple views of the object, each with a different area of focus. This can be accomplished by digitally changing the imaging sensor's area of focus or by pivoting the sensor via a focus motor. In either event, the resulting images are combined into a single, integrated, focused, and composite image. Combining images with differing areas of focus helps eliminate any blurry regions in the composite image. The device further includes a rearwardly positioned fin that facilitates positioning the device in multiple different orientations. In a first orientation, the device is vertically positioned upon a desktop.

Abstract: A media items to be shared with users of a content sharing service are identified. Each of the media items corresponds to a video recording generated by a client device that depicts one or more objects corresponding to a real-world event and/or a geographic location. A location of the client device that generated the video recording corresponding to a respective media item of the media items is determined based on image features depicted in a set of frames of the video recording. A request for content associated with at least one of the real-world event and/or the geographic location is received from another client device connected to the content sharing service. The media items and, for each of the media items, an indication of the location of the client device that generated the corresponding video recording are provided in accordance with the request for content.

Abstract: A block of video data is split using one or more of several possible partition operations by using the partitioning choices obtained through use of a texture-based image partitioning. In at least one embodiment, the block is split in one or more splitting operations using a convolutional neural network. In another embodiment, inputs to the convolutional neural network come from pixels along the block's causal borders. In another embodiment, boundary information, such as the location of partitions in spatially neighboring blocks, is used by the texture analysis. Methods, apparatus, and signal embodiments are provided for encoding.

Abstract: Exemplary embodiments include systems and methods for coding a video comprising a plurality of pictures including a current picture, a first reference picture, and a second reference picture, where each picture includes a plurality of blocks. In one method, for at least a current block in the current picture, a number of available bi-prediction weights is determined based at least in part on a temporal layer and/or a quantization parameter of the current picture. From among available bi-prediction weights a pair of weights are identified. Using the identified weights, the current block is then predicted as a weighted sum of a first reference block in the first reference picture and a second reference block in the second reference picture. Encoding techniques are also described for efficient searching and selection of a pair of bi-prediction weights to use for prediction of a block.

Abstract: Example embodiments relate to enhanced depth of focus cameras using variable apertures and pixel binning. An example embodiment includes a device. The device includes an image sensor. The image sensor includes an array of light-sensitive pixels and a readout circuit. The device also includes a variable aperture. Additionally, the device includes a controller that is configured to cause: the variable aperture to adjust to a first aperture size when a high-light condition is present, the variable aperture to adjust to a second aperture size when a low-light condition is present, the readout circuit to perform a first level of pixel binning when the high-light condition is present, and the readout circuit to perform a second level of pixel binning when the low-light condition is present. The second aperture size is larger than the first aperture size. The second level of pixel binning is greater than the first level of pixel binning.

Abstract: Provided is a video decoding method including obtaining split information indicating whether a current block is to be split from a bitstream; splitting the current block into two or more sub-blocks when the split information indicates that the current block is to be split; determining lower horizontal coding order information of the sub-blocks of the current block according to higher horizontal coding order information applied to the current block, based on at least one of split information, size information, and neighboring block information of the current block; and decoding the sub-blocks according to the lower horizontal coding order information.