Mitsubishi Electric Corporation

Mitsubishi Denki Kabushiki Kaisha

Mitsubishi Electronic Corporation

Xylene Holding S.a.

Yoshimi Moriya

Shunichi Sekiguchi

Kohtaro Asai

Yoshihisa Yamada

Kazuo Sugimoto

Tokumichi Murakami

Yuichi Idehara

Akira Minezawa

Ryoji Hattori

Yusuke Itani

Norimichi Hiwasa

Shuichi Yamagishi

Hirofumi Nishikawa

Kazuyuki Miyazawa

Fuminobu Ogawa

Tomoya Sawada

Naohiro Shibuya

Shinichi Kuroda

Hideaki Maehara

Mengxiong Wang

Koutarou Asai

Kenji Otoi

Yoshiaki Kato

Masashi Watanabe

Hidetoshi Mishima

Takuma Kadoya

Katsuyuki Kamei

Takayuki Semitsu

Hideyuki Masui

Momoyo Hino

Mamoru Miura

Momoyo Nagase

Ken Fukuchi

Yuuichi Idehara

Ayako Nemoto

A labeling device includes: an image-signal acquisition unit that acquires an image signal indicating an image captured by a camera; an image recognition unit that has learned by machine learning and performs image recognition on the captured image; and a learning-data-set generation unit that generates, by performing labeling on each object included in the captured image on the basis of a result of image recognition, a learning data set including image data corresponding to each object and label data corresponding to each object.

Labeling device and learning device

A geographic object recognition unit () recognizes, using image data () obtained by photographing in a measurement region where a geographic object exists, a type of the geographic object from an image that the image data () represents. A position specification unit () specifies, using three-dimensional point cloud data () indicating a three-dimensional coordinate value of each of a plurality of points in the measurement region, a position of the geographic object.

Geographic object detection apparatus and geographic object detection method

A macro block size determining unitdetermines the size of each macro block on a frame-by-frame basis. A macro block dividing unitdivides an inputted image into macro blocks each having the size determined by the macro block size determining unit. A macro block coding unitdetermines a coding mode for each of the macro blocks divided by the macro block dividing unit, and codes pixel values in each of the macro blocks in the determined coding mode.

Moving image coding apparatus and moving image decoding apparatus

An image processing device () includes an object detecting unit () that detects objects each appearing in a corresponding one of pieces of image data; an object tracking unit () that tracks the detected objects in a time direction; a descriptor generating unit () that generates feature descriptors of the respective objects on the basis of results of the detection and results of the tracking of the objects; a data recording control unit () that forms a database from the generated feature descriptors and the pieces of image data of the objects corresponding to the feature descriptors; an image retrieving unit () that retrieves, from the database, object groups that match a retrieval condition and form a pair of object groups appearing in pieces of image data obtained by capturing different regions, each of the object groups corresponding to a corresponding one of the regions; a feature extracting unit () that extracts a feature to be used for checking, from pieces of image data and feature descriptors of each of the retrieved object groups; and a determining unit () that determines whether the object groups forming the pair of object groups are identical to each other, by checking the extracted features against each other.

Image processing device and image processing method

A congestion degree estimating unit () which estimates, for each image frame, a congestion degree of an area in which each object detected by an object detecting unit () is present is provided. An object selecting unit () refers to an estimation result of the congestion degree by the congestion degree estimating unit () for each image frame, and selects an object present in an area the congestion degree of which is equal to or lower than a first threshold out of one or more objects detected by the object detecting unit ().

Object tracking device and object tracking method

A parallel processing starting unitthat partitions an inputted image into tiles each having a predetermined size, and distributes tiles obtained through the partitioning, and N tile encoding units-to-N each of that carries out a prediction difference encoding process on a tile distributed thereto by the parallel processing starting unitto generate a local decoded image are disposed, and each of N tile loop filter units-to-N determines a filter per tile suitable for a filtering process on the local decoded image generated by the corresponding one of the tile encoding units-to-N, and carries out the filtering process on the local decoded image by using the filter.

Video decoding device and video decoding method

An image feature map generating unit () generates, on the basis of feature amounts extracted from a plurality of images successively captured by a camera (), an image feature map which is an estimated distribution of the object likelihood on each of the images. An object detecting unit () detects an object on the basis of the image feature map generated by the image feature map generating unit ().

Object detection device and object detection method

An object detection device includes: an optical flow calculator to calculate an optical flow between images captured by the image capturer at different times; an evaluation value calculator to divide the image captured by the image capturer into areas, and calculate, for each divided area, an evaluation value by using the optical flows of pixels belonging to the divided area, the evaluation value indicating a measure of a possibility that the divided area is an object area representing part or whole of the object to be detected; and an area determinator to determine an area in an image, in which the object to be detected exists, by comparing the evaluation value of each divided area calculated by the evaluation value calculator with a threshold value.

An encoding controlling unitselects one transformation block size which provides an optimal degree of encoding efficiency from a set of transformation block sizes which are determined in accordance with an encoding mode, and includes the transformation block size selected thereby in optimal compression parametersto notify the transformation block size to a transformation/quantization unit, and the transformation/quantization unitdivides an optimal prediction differential signalinto blocks having the transformation block size included in the optimal compression parameters, and carries out a transformation and quantization process on each of the blocks to generate compressed data

Moving image encoding device and moving image decoding device based on adaptive switching among transformation block sizes

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Tokyo, Japan

Yoshimi Moriya