Abstract: A coding amount estimation device includes: a feature vector generation unit that generates a feature vector on the basis of a feature map generated by an estimation target image and at least one filter set in advance; and a coding amount evaluation unit that evaluates a coding amount of the estimation target image on the basis of the feature vector.

Abstract: Apparatuses and methods for writing data to a memory array are disclosed. When data is duplicative across multiple data lines, data may be transferred across a single line of a bus rather than driving the duplicative data across all of the data lines. The data from the single data line may be provided to the write amplifiers of the additional data lines to provide the data from all of the data lines to be written to the memory. In some examples, error correction may be performed on data from the single data line rather than all of the data lines.

Abstract: An image processing device that updates a pixel value of a processing target image and generates a new image generates a first feature vector based on the processing target image and a first feature map generated with at least one pre-decided filter; updates the processing target image to generate an updated image; generates a second feature vector based on the updated image and a second feature map generated with at least one pre-decided filter; performs quality evaluation of the updated image based on the first and second feature vectors and generates a quality feedback vector which is a vector based on a result of the quality evaluation; performs an encoding amount evaluation on the updated image and generates an encoding amount feedback vector which is a vector based on a result of the encoding amount evaluation; and determines an updating amount in updating of the updated image based on the quality feedback vector and the encoding amount feedback vector.

Abstract: A coding device executes coding having divided an image into blocks, and includes: a candidate obtainment unit that obtains a plurality of provisional motion vector candidates in a coding target block; an evaluation information obtainment unit that obtains a correspondence vector that is a vector having a same direction and a same magnitude as a direction and a magnitude of the obtained provisional motion vector candidates, and evaluation information of a search center indicated by the correspondence vector in a coded block; and a selection unit that, on the basis of the evaluation information, selects, from the plurality of provisional motion vector candidates, a number of motion vector candidates that is lower than the number of the plurality of provisional motion vector candidates.

Abstract: A predictive image acquisition device is a predictive image acquisition device for associating an observation signal, the observation signal being a signal obtained from an original image serving as a decoding target image and being a lower dimensional signal than the original image, a first predictive image having a high correlation with the original image, and a second predictive image having a high correlation with the original image with each other to obtain a combined predictive image, and includes an interpolation factor acquisition unit configured to obtain an interpolation factor set for each pixel of the combined predictive image from the first predictive image, the second predictive image, and the observation signal, and a combined predictive image acquisition unit configured to combine the first predictive image and the second predictive image for each pixel using the interpolation factor to obtain the combined predictive image, and the pixels constituting the observation signal are expressed by a

Abstract: An image processing apparatus for performing correction for each frame group including a predetermined number of frames into which video data is divided includes a decoding unit configured to obtain a corrected frame group by correcting a second frame group, which is a frame group continuous with a first frame group in time, using a feature quantity of the first frame group. The decoding unit performs the correction so that subjective image quality based on a relationship between the second frame group and a frame group subsequent to the second frame group in time is increased and so that a predetermined classifier classifies that a frame group in which the second frame group is concatenated with the frame group subsequent to the second frame group in time is the same as a frame group in which the corrected frame group is concatenated with a corrected frame group obtained by correcting the frame group subsequent to the second frame group in time.

Abstract: An encoding device includes a division unit that acquires three-dimensional data representing positions of a plurality of points distributed along a surface of an object in a three-dimensional space and divides a parent space including the points in the three-dimensional space into a plurality of child spaces and an encoding unit that changes, based on a position of a target space, which is the child space, to which a sign representing whether the points are included is allocated, according to whether the points are included in a first child space adjacent to the target space, processing for allocating the sign to the target space and a second child space adjacent to the target space.

Abstract: An image encoding method that generates and encodes a gram matrix representing an image feature when encoding an image to be encoded includes a feature map generation step of generating a plurality of feature maps from the image to be encoded; a gram matrix generation step of generating a gram matrix through calculations between/among the feature maps; a representative vector determination step of generating a representative vector and a representative coefficient value by singular value decomposition of the gram matrix; and a vector encoding step of encoding the representative coefficient value and the representative vector.

Abstract: An image encoding method that expresses an image using pixels or blocks, and colors assigned to the pixels or the blocks when encoding an image to be encoded, and encodes a block division tree and color information, the color information being assigned to all nodes including a root node, branch nodes, and leaf nodes of the block division tree, the method includes: a division tree generation step of dividing the image to be encoded using an arbitrary division tree and thereby generating the block division tree; a color information determination step of determining representative colors that represent interim blocks or final blocks and assigning the determined colors as color information corresponding to the respective nodes, the interim blocks or the final blocks corresponding to the nodes of the block division tree; a tree encoding step of encoding the block division tree; and a color information encoding step of encoding the color information.

Abstract: In a case where a second page is printed subsequent to a first page, in a case where a predetermined condition concerning recovery operation is met, a control unit in a printing apparatus causes, after completion of printing of the first page and prior to start of the printing of the second page, a recovery unit to perform the recovery operation after causing a cutting unit to cut a printing medium. In a case where the predetermined condition is not met, the control unit causes a printing unit to start the printing of the second page without causing the cutting unit to cut the printing medium after the completion of the printing of the first page.

Abstract: A coding apparatus is a coding apparatus for coding an original image and includes: a division section that divides the original image into blocks that are a plurality of areas to acquire the plurality of blocks; a determination section that, for each of the blocks, determines whether or not to determine the block as an interpolation target; and a substitution section that substitutes a value of a pixel included in the block determined as the interpolation target, with a value that decreases a code amount of the block determined as the interpolation target. The determination section determines whether or not to determine the area that is a target of the determination as an area that is the interpolation target, using an evaluation based on an accuracy of prediction of an image of the block by intra prediction or inter prediction and a degree of the area that is the interpolation target being a generated one.

Abstract: An image processing device includes an image processing unit configured to execute image processing on an image based on an input image and output a result of the image processing, the input image is a post-conversion image obtained by performing image conversion on an original image, and the conversion includes image conversion for further decreasing a data size of the original image while maintaining a feature quantity used in the image processing and processing accuracy of the image processing.

Abstract: A method of operating a memory device is disclosed. A method may include generating a first control signal to activate a first number of main input/output (MIO) lines associated with a first data terminal region of a memory bank at a first time. The method may also include generating a second control signal to activate a second number of MIO lines associated with a second data terminal region of the memory bank at a second, subsequent time. Further, the method may include resetting each of the first control signal and the second control signal in response to a command.

Abstract: A buffer device stores, in relation to a first area and a second area, which are partial areas respectively located on an identical line of an encoding target frame, and a third area, which is a partial area on the line below the identical line, reference image data for each search range of a reference frame that is referred to during motion search processing executed in order of the first area, the second area, and the third area, the buffer device including a memory for storing the reference image data, and a buffer control unit which, when the motion search processing is executed on the second area, executes control so that among the reference image data included in a first search range that is referred to during the motion search processing of the first area, the reference image data included in a third search range that is referred to during the motion search processing of the third area are left in the memory without being deleted.

Abstract: An abnormality determination device includes: an analysis unit that analyzes at least a feature amount related to a pattern of a captured image of a manhole cover, the feature amount being included in coded information obtained by coding the captured image; and a determination unit that determines based on an analysis result of the analysis unit whether the manhole cover is abnormal.

Abstract: A position determination apparatus for determining, from a first image that is an image including at least a desired first subject, a position of the desired first subject, includes: a feature amount acquisition unit that acquires a first feature amount representing a predetermined feature of the first image; an estimation unit in which a second feature amount representing the predetermined feature obtained from a second image including a second subject is associated with a selected feature map that is a feature map corresponding to the second subject among a plurality of feature maps that are a set of feature maps that are maps representing features of the second image; an estimated first feature map that is estimated by the estimation unit to be associated with the first feature amount: and a position determination unit that determines the position of the desired first subject using the estimated first feature map.

Abstract: An image processing device includes an image processing unit configured to execute image processing on an image based on an input image, and output a result of the image processing. The input image is a post-conversion image obtained by performing image conversion on an original image. The image conversion includes image conversion for further reducing a data size of the original image while maintaining a feature acquired from the original image and related to an object similar to a subject captured in the original image and maintaining processing accuracy of the image processing.

Abstract: An image difference determination device includes a determination result acquisition unit configured to acquire a result of determining whether or not there is a difference between time-series images when there are at least three time-series images and a speed determination unit configured to determine that the difference between the time-series images is caused by a change of a prescribed speed or less when it is determined that there is a difference between images at both ends of a time series in which it is determined that there is no difference between images adjacent in the time series.

Abstract: An encoding device includes: an association processing unit that associates first encoded data which is encoded data of an original image with second encoded data which is encoded data of a decoded image which is a result of decoding of the encoded data of the original image; and an encoding unit that encodes, based on the result of associating the first encoded data with the second encoded data, a target image which is an image to be encoded.

Abstract: A difference detection apparatus includes: an acquisition unit configured to acquire a difference level indicating a level of a difference between a first image that is an image of a first spatial region and a second image that is an image of a second spatial region located at a substantially same position as the first spatial region, first probability data indicating a probability that a target object is present in the first spatial region, and second probability data indicating a probability that the target object is present in the second spatial region; and a detection unit configured to associate the difference level, the first probability data, and the second probability data, and detect, based on a result of the association, a region where a difference occurs between the first image and the second image.