Nec Corporation

Nec C Orporation

Kenta Senzaki

Keiichi Chono

Takashi Shibata

Yuzo Senda

Hirofumi Aoki

Junji Tajime

Masato Tsukada

Hiroaki Kawaguchi

Masato Toda

Azusa Sawada

Shreya Sharma

Chika Umegaki

Katsuya Odaka

Kyoko Murozono

Hironobu Mori

In a video decoding device for decoding video using inter prediction, decoding control means sets capable values of an inter-PU (Prediction Unit) partition type of a CU (Coding Unit) to be decoded, based on whether or not a size of the CU to be decoded is equal to a minimum inter-PU size.

Video decoding device and video encoding device using inter prediction

A satellite attitude estimation system includes an infrared sensor configured to capture an infrared image of a target satellite for which an attitude is to be estimated. The system determines, in the captured infrared image, a first pixel having a largest luminance and a second pixel having a smallest luminance in the infrared image. The system associates the first pixels with first coordinates of a 3D structure of the target satellite, and associates the second pixels with second coordinates of the 3D structure of the target satellite. The system computes a first normal vector to a surface of the 3D structure for the first coordinates, and computes a second normal vector to the surface of the 3D structure for the second coordinates. The system estimates a direction of the target satellite to the sun before the infrared image was taken, using the computed first and second normal vectors.

Satellite attitude estimation system and satellite attitude estimation method

The video encoding device for encoding video using inter prediction includes a unit which determines to perform an entropy-encoding process of encoding a PU (Prediction Unit) partition type syntax of a CU (Coding Unit) to be encoded, based on a prediction mode of the CU to be encoded being an inter prediction mode and a size of the CU to be encoded being equal to a predetermined minimum inter-PU size.

Video encoding device performing entropy-encoding process for inter prediction unit partition type syntax

An object of an example embodiment of the present disclosure is to stably estimate a navigation status of a target ship at a predetermined time from time-series position information of the ship. A ship behavior analyzing device according to the example embodiment of the present disclosure includes a ship detection means for detecting a ship from synthetic aperture radar (SAR) data, a wake extraction means for extracting a wake of the detected ship, a wake pattern generation means for generating a wake pattern image by using the extracted wake, and a navigation status estimation means for estimating a navigation status of the target ship by using the generated wake pattern image.

Ship behavior analyzing device, ship behavior analyzing method, and non-transitory computer-readable medium

A video decoding device for decoding video using inter prediction includes entropy decoding means for decoding an inter-PU partition type syntax; and decoding control means for making the entropy decoding means decode the inter-PU (Prediction Unit) partition type syntax of a CU (Coding Unit) to be decoded, based on whether the prediction mode of the CU to be decoded is an inter prediction mode and whether a size of the CU to be decoded is equal to a predetermined minimum inter-PU size.

Video decoding device, and video encoding method performing entropy-decoding process for inter prediction unit partition type syntax

An object is to provide an image processing apparatus capable of appropriately distinguishing various object types. An image processing apparatus (C) comprising: detector means () for detecting objects in an input SAR image and generating object chips; projection calculator means () for calculating projection information of each object using SAR geometry; feature learner means () for learning, for each object, a relation between an object chip and its projection information, and thereby generating learnt features of object chips; and classifier means () for classifying object chips into classes based on the learnt features of object chips.

Image processing apparatus, image processing method, and non-transitory computer readable medium storing image processing program

A video encoding device includes encoding control meansfor controlling an inter-PU partition type of a CU to be encoded, based on the maximum number (PA) of motion vectors allowed for an image block having a predetermined area and the number (PB) of motion vectors of an encoded image block contained in the image block having the predetermined area. A video decoding device includes decoding control means for controlling an inter-PU partition type of a CU to be decoded, based on the maximum number (PA) of motion vectors allowed for an image block having a predetermined area and the number (PB) of motion vectors of a decoded image block contained in the image block having the predetermined area.

Video encoding device, video decoding device, video encoding method, video decoding method, and program using inter prediction

A video decoding device and method, including extracting PCM block size information including a threshold, from a bitstream, determining the threshold based on the extracted PCM block size information; parsing a PCM header from the bitstream with respect to an encoded block, only when said encoded block is prediction mode of intra prediction and a block size of said encoded block is equal to or greater than the determined threshold, controlling an entropy decoding process and a PCM decoding process based on the parsed PCM header; parsing transformed data of a prediction error data of an image in the bitstream; and PCM-decoding PCM data of the image in the bitstream, wherein the decoding performs the decoding operation based on the prediction mode being intra prediction and based on the block size of the encoded block being equal to or greater than the determined threshold.

Video encoding device, video decoding device, video encoding method, video decoding method, and program

A video encoding device for encoding video using inter prediction includes encoding control meansfor controlling an inter-PU partition type of a CU to be encoded, based on a minimum inter-PU size (PA) and a CU size (PB) of the CU to be encoded. A video decoding device includes decoding control means for controlling an inter-PU partition of a CU to be decoded, based on the minimum inter-PU size (PA) and the size (PB) of the CU to be decoded.

Video encoding device, video decoding device, video encoding method, video decoding method, and program restricts inter-prediction unit partitions based on coding unit depth

In a video decoding device, a quantization step size decoding unit calculates a quantization step size that controls a granularity of the inverse quantization by, based on an image prediction, selectively using a mean value of at least a quantization step size assigned to a leftwardly adjacent neighboring image block already decoded and a quantization step size assigned to a upwardly adjacent neighboring image block already decoded or a quantization step size assigned to an image block decoded immediately before.

Video decoding device and method using inverse quantization

A radar image processing device includes: an estimation unitfor setting, as a target pixel, each pixel of a two-dimensional map image, and estimating to which type each target pixel belongs among a pixel caused by the main lobe, a pixel due to the sidelobe, and any other pixel; a pixel value replacement unitfor replacing the pixel value of the pixel caused by the main lobe and the pixel value of the pixel due to the sidelobe with pixel values generated in pixel value interpolation processing based on the type of each pixel estimated by the estimation unitto generate a first corrected image; a speckle noise suppression unitfor applying speckle noise suppression processing to the first corrected image to generate a second corrected image; and an output image generation unitfor generating an output image, in which speckle noise and sidelobes are suppressed, by using the two-dimensional map image, the second corrected image, and the type of each pixel.

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Tokyo, Japan

Kenta Senzaki