Hitachi, Ltd.

Hitachi Solutions, Ltd.

Quan Kong

Tomokazu Murakami

Naoto Akira

Yuki Watanabe

Ziwei Deng

Daisuke Matsubara

Atsushi Hiroike

Tomoaki Yoshinaga

Kenichi Morita

Soichiro Okazaki

The invention supports creation of models for recognizing attributes in an image with high accuracy. An image recognition support apparatus includes an image input unit configured to acquire an image, a pseudo label generation unit configured to recognize the acquired image based on a plurality of types of image recognition models and output recognition information, and generate pseudo labels indicating attributes of the acquired image based on the output recognition information, and a new label generation unit configured to generate new labels based on the generated pseudo labels.

Image recognition support apparatus, image recognition support method, and image recognition support program

Provided are: an amodal segmentation unit that generates a set of first amodal masks indicating a probability that a particular pixel belongs to a relevant object for each of objects, with respect to an input image in which a plurality of the objects partially overlap; an overlap segmentation unit that generates an overlap mask corresponding only to an overlap region where the plurality of objects overlap in the input image based on an aggregate mask obtained by combining the set of first amodal masks generated for each of the objects and a feature map generated based on the input image; and an amodal mask correction unit that generates and outputs a second amodal mask, which includes an annotation label indicating a category of each of the objects corresponding to a relevant pixel, for each of pixels in the input image using the overlap mask and the aggregate mask.

Image processing device, image processing method, and image processing system

In a current image processing environment, providing feedback for a user operation is slow, and a user cannot confirm the result of the operation in real time. Thus, the user interrupts the operation every time the user confirms the feedback, and a time period for performing image processing is long. An image processing device includes a guidance information generator. The guidance information generator acquires trajectory information to be used to segment an image object on an image input from a user, generates guidance information indicating a segmentation region desired by the user based on the trajectory information, and presents the segmentation region based on a user's intention in real-time. The guidance information generator provides a function of smoothly continuously segmenting an image object.

An image retrieving apparatus includes a pose estimating unit which recognizes pose information of a retrieval target including a plurality of feature points from an input image, a features extracting unit which extracts features from the pose information and the input image, an image database which accumulates the features in association with the input image, a query generating unit which generates a retrieval query from pose information specified by a user, and an image retrieving unit which retrieves images including similar poses according to the retrieval query from the image database.

Image retrieving apparatus, image retrieving method, and setting screen used therefor

Provided is technique of object recognition that can accurately recognize an object. An object recognition apparatus (i) generates property data that highlights a specific property based on target data, (ii) extracts a discrimination-use feature amount used for discrimination of each piece of the property data, (iii) calculates discrimination information used for discrimination of the property data, (iv) extracts a reliability feature amount used for estimation of reliability of the discrimination information calculated for each piece of the property data, (v) estimates the reliability of the discrimination information, (vi) generates synthesized information acquired by synthesizing the discrimination information calculated for each piece of the property data and the reliability calculated for each piece of the property data, and (vii) performs processing related to the object recognition.

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Tokyo, Japan

Quan Kong