Nippon Telegraph and Telephone Corporation

Hitachi, Ltd.

Clarion Co

Omron Corporation

Asahi Kasei Kogyo Kabushiki Kaisha

Asahi Kasei Chemicals Corporation

Canon Kabushiki Kaisha

Nec Corporation

Terumo Kabushiki Kaisha

Elpida Memory, Inc.

Asahi Kasei Kabushiki Kaisha

Murata Manufacturing Co., Ltd.

The Furukawa Electric Co., Ltd.

Hitachi Automotive Systems, Ltd.

Spansion Llc.

Atsushi Shimizu

Masaki Kitahara

Kazuya Hayase

Seishi Takamura

Ryuichi Tanida

Naoki Ono

Tokinobu Mitasaki

Yasushi Nagai

Tohru Kobayashi

Mayuko Watanabe

Hirohisa Jozawa

Takayuki Onishi

Shinobu Kudo

Motohiro Takagi

Hiroshi Watanabe

Tanichi Ando

Kazuto Kamikura

Takaaki Sekiguchi

Yuko Ito

Hiroyoshi Endo

Takashi Matsumoto

Toshio Yamada

Satoru Isomura

Tatsuaki Osafune

Atsushi Sagata

Haruhiko Sawajiri

Shiori Sugimoto

Kazunori Yamataka

Shoji Fukuzawa

Mitsuo Usami

Satoshi Suzuki

Takashi Yamaguchi

Susumu Matsui

Tatsuya Kimura

Hirotaka Wada

Ken Nakamura

Akira Nakajima

Masato Hamamoto

Toshiji Ichikawa

Toshihiro Moriya

Hiroe Iwasaki

Masaaki Matsumura

Masahiro Tsukamoto

Yuya Omori

Noboru Shiozawa

Hiromasa Katoh

Masao Kondo

Hiroshi Fujii

Naoki Mori

Keiichi Higeta

Issei Yamamoto

Masato Hayashi

Kyosuke Komiya

Kunihiko Yamaguchi

Hideo Nakagoshi

Yoichi Takagi

Takako Onishi

Kazuya Monden

Masahisa Yokota

Kazuo Tanaka

Hiroshi Hamada

Hiroki Murakami

Hiroshi Matsuura

Masahito Yoshida

Yasuhiro Niikura

Osamu Takada

Yousuke Moriuchi

Takehiko Nomura

Kenichi Yoshida

Masaaki Matsuura

Fumio Noda

Hideyuki Nasu

Nobuyuki Sakatani

Yoshinobu Tonomura

Akihito Akutsu

Toru Komatsu

Yoshiyuki Asahina

Katsuyuki Umezawa

Masayuki Oyagi

Masaru Wada

Tetsuya Oda

Shinichi Mukaigawa

Shinji Kawamura

Mikinori Kawaji

Yukinobu Taniguchi

Jun Yoshino

Junichi Yamamoto

Kuon Miyazaki

Hideki Shinkai

Ken Hoshino

Yohsuke Koizumi

Shohei Matsuo

Akira Nakabayashi

Kiyoo Kato

Susumu Kojima

Tsuyoshi Otani

Masaki Yamato

Takashi Sano

An information processing apparatus, an information processing system, an updating method, and a program that can properly update software even when a network function has a redundant configuration are provided. An information processing apparatus () includes: an information acquiring unit () configured to acquire redundant configuration information contained in network definition information from a MANO implementation apparatus performing instantiation of network functions by using the network definition information that contains the redundant configuration information being information about a redundant configuration of the network functions, and implementing MANO for the network functions; and an update control unit () configured to propose an update sequence of nodes in updating software of the nodes that execute processing for providing the network functions, based on the redundant configuration information.

Information processing apparatus, information processing system, update method, and non-transitory computer-readable medium in which program is stored

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.

Encoding apparatus, encoding method, and program

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.

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.

Image encoding method and image decoding method

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.

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.

Image processing apparatus, conversion apparatus, image processing method, conversion method and program

A quantization apparatus includes: an imaging unit that converts statistical data at a position in a real space into a pixel value of a coordinate, which is associated with the position, in an image; and a derivation unit that derives a quantization parameter corresponding to a quantization width of the pixel value for each of one or more positions in the real space with respect to a part or a whole of the image. The quantization apparatus may further include a purpose acquisition unit that acquires information indicating a purpose related to statistics. The derivation unit may derive the quantization parameter corresponding to the quantization width that is larger as the pixel value is larger.

Quantization apparatus, quantization method, and program

A difference detection device includes a difference detection unit configured to, based on association among a first image and a second image captured at different times and illustrating a substantially identical space and encoding information of each of the first image and the second image, detect difference between a third image and a fourth image captured at different times and illustrating a substantially identical space, and the encoding information is information acquired from data including the first image encoded and data including the second image encoded, before inverse transform processing is executed in decoding processing executed on each of the first image and the second image.

Difference detection apparatus and difference detection program

A reference region determination device is for determining a reference region to be stored in a reference image buffer, and includes: a motion vector acquisition portion configured to acquire a motion vector for each one of already encoded blocks; a position change amount derivation portion configured to derive a position change amount for the reference region based on the acquired motion vectors; and a reference region determination portion configured to determine a position of the reference region to be used in encoding of a next block for encoding after the already encoded blocks based on the position change amount.

Reference region determination apparatus and program

A statistical data processing device includes: a first statistical image generation unit for generating statistical images including a first statistical image representing a first statistical value as a corresponding pixel value, and a second statistical image representing a second statistical value as a corresponding pixel value; a mask generation unit for generating a mask image, the mask image extracting, if one of a pixel of a first statistical image and a corresponding pixel of a second statistical image does not have a pixel value indicating a statistical value, a pixel not having a pixel value indicating the statistical value or other pixel; and a second statistical image generation unit for generating a third statistical image in which a pixel value of a pixel not having a pixel value indicating the statistical value is complemented with a pixel value of the other statistical image.

Statistical data processing apparatus, statistical data processing method and computer program

An image evaluation device includes a determination result acquisition unit acquires a result of determining the presence or absence of a difference between an object image that is one of a plurality of images that include three or more images obtained by imaging substantially the same spatial region and each of reference images that are images other than the object image among the plurality of images and an evaluation index acquisition unit configured to acquire an evaluation index for the plurality of images on the basis of at least one of the number of determinations of the presence of the difference between the object image and each reference image and the number of determinations of the absence of the difference between the object image and each reference image.

Image evaluation device, image evaluation method, and image evaluation program

An evaluation device for evaluating coding quality of coded data of an image for a first viewpoint in a multi-viewpoint image, the evaluation device includes an evaluation unit that evaluates coding quality of coded data relating to the first viewpoint by associating a pixel value of an original image for the first viewpoint, a pixel value obtained from the coded data relating to the first viewpoint, a pixel value of an original image for a second viewpoint that is different from the first viewpoint and a pixel value obtained from coded data relating to the second viewpoint with one another.

Evaluation apparatus, evaluation method and program

A learning data generation device of an embodiment includes a detection unit that detects a changed region in a space between a first map and a second map based on first map data which indicate the first map and second map data which indicate the second map which indicates a substantially same space as the first map and represents the space at a different time point from the first map and a changed region image acquisition unit that acquires images which correspond to the changed region detected by the detection unit from a first image in which the space represented by the first map is captured and a second image in which the space represented by the second map is captured.

Learning data generation apparatus, change area detection method and computer program

A prediction device for predicting a motion vector of a coding target block in coding of a composite image formed by combining multiple viewpoint images includes: a storage unit that stores a first predicted motion vector indicating a predicted motion vector candidate; and an update unit that if a predetermined condition is met, generates a second predicted motion vector that is a vector indicating a pixel in an adjacent viewpoint, the pixel being located at a position that is same as a position of the coding target block, and stores the second predicted motion vector the storage unit.

Prediction apparatus, prediction method and program

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.

Encoding amount estimation apparatus, encoding amount estimation method and encoding amount estimation program

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Tokyo, Japan

Atsushi Shimizu